搜索
Pluralsight Path. Python for Data Analysts (2020)
磁力链接/BT种子名称
Pluralsight Path. Python for Data Analysts (2020)
磁力链接/BT种子简介
种子哈希:
4cb29a8c7515b3da0f203578133b9a32b660a94f
文件大小:
2.82G
已经下载:
6679
次
下载速度:
极快
收录时间:
2022-05-04
最近下载:
2024-10-07
移花宫入口
移花宫.com
邀月.com
怜星.com
花无缺.com
yhgbt.icu
yhgbt.top
磁力链接下载
magnet:?xt=urn:btih:4CB29A8C7515B3DA0F203578133B9A32B660A94F
推荐使用
PIKPAK网盘
下载资源,10TB超大空间,不限制资源,无限次数离线下载,视频在线观看
下载BT种子文件
磁力链接
迅雷下载
PIKPAK在线播放
91视频
含羞草
欲漫涩
逼哩逼哩
成人快手
51品茶
抖阴破解版
暗网禁地
91短视频
TikTok成人版
PornHub
草榴社区
乱伦社区
最近搜索
【阿宝探花】
身材娇小的小妹
除却巫山
国际女流氓
红色诱惑
veronica silesto
小七爱庄周
pppd-791
juy-087
san-019
雯雯子
『捆绑
东京3p
spider-man fgt
kesha
不羁的心
lockheadgirld
kawd-318
ts
月经+写真
森下茜
少女劳改屋
yano
少妇黄
爭奪女優派對入場券
cad车间平面图
✨性感风骚御姐✨极品身材的御姐女神一
y阴道镜
艳母
誘い~
文件列表
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/2. Importing Data into Python from JSON Using the JSON Library.mp4
41.3 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/3. Importing Text and CSV Files Using pandas.mp4
37.9 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/4. Organizing, Navigating, Refactoring, and Styling Code.mp4
33.1 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/4. Configuring Python Features for Specific Code Editors.mp4
31.2 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/3. Overview of Available Code Editors for Python.mp4
30.4 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/5. Running and Debugging Python Code with an IDE.mp4
27.6 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/6. Integrating with Version Control Using an IDE.mp4
27.1 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/06. Demo - Exploring Online Resources.mp4
25.4 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/2. Customizing IDEs.mp4
23.9 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/5. Import Data into Python from Excel Files/2. Importing Excel Files Using pandas.mp4
23.5 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/04. Demo - Configuring Data Sources and Creating Datasets.mp4
22.4 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/1. Improving Your Productivity Programming in Python with an IDE.mp4
22.4 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/3. Features That Improve Productivity Coding with an IDE.mp4
20.6 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/1. Programming Python Using an IDE! But Why And Which One.mp4
19.6 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/08. Demo - Running and Debugging Code with PyCharm.mp4
19.3 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/06. Demo - Running and Debugging Code with Eclipse.mp4
19.3 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/09. Demo - Working with Spyder.mp4
19.2 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/4. Demo - Analyzing and Visualizing Data on Azure Notebooks.mp4
18.8 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/3. Importing Data into Python from XML Using the ElementTree XML API.mp4
18.6 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/2. Importing CSV Files Using the Python csv Module.mp4
18.2 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/2. Importing Text Data into Python Using NumPy/2. Importing Flat Files and Numeric Data Using NumPy.mp4
17.8 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/5. Demo - Working with the Command Line Processes and Environment Variables.mp4
17.1 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/3. Rendering Charts to Specialized Formats.mp4
16.5 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/04. Demo - Running and Debugging Code with IDLE.mp4
16.4 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/8. Demo - Exploring Line and Cell Magic Commands.mp4
16.4 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/04. Using BeautifulSoup4 to Navigate Our Scraped Data.mp4
16.3 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/2. Rendering Charts to Image Files.mp4
16.3 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/2. Importing Text Data into Python Using NumPy/1. Importing Text Data into Python Using NumPy.mp4
16.1 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/13. Demo - Writing a Python Script for a Classification Model.mp4
15.9 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/05. Demo - Data Preparation and Visualization.mp4
15.9 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/6. Identifying and Dropping Duplicate Data.mp4
15.8 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/6. Demo - Share Notebooks on Github.mp4
15.6 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/2. Demo - Analyzing and Visualizing Data.mp4
15.5 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/06. Demo - MacOS - Installing Anaconda and Jupyter Notebooks.mp4
15.5 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/3. Demo - Exploring Interactive Widgets.mp4
15.5 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/08. Building the Scraper Module Using PyCharm.mp4
15.4 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/5. Demo - Setting up and Connecting to Cloud Datalab on the GCP.mp4
15.2 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/4. Demo - Adding Interactivity to Custom Functions.mp4
14.9 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/09. Demo - Batch and Individual Predictions.mp4
14.8 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/10. Demo - Conditional Looping Using While Loops.mp4
14.8 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/exercise.7z
14.8 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/11. Adding a Test to Verify Our Regular Expression Processing.mp4
14.7 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/07. Demo - MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Instal.mp4
14.3 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/3. Demo - Creating and Working with Notebook Instances on Amazon SageMaker.mp4
14.1 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/05. Demo - Installing Eclipse and Setting up the PyDev Plugin.mp4
14.0 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/04. Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.mp4
13.9 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/06. Generating Radar Plots.mp4
13.8 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/05. Demo - Reassignment of Variables within Functions.mp4
13.7 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/3. Replacing Bad Data with NaN.mp4
13.7 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/09. Demo - MacOS - Installing Jupyter Lab Using Pip.mp4
13.5 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/4. PyQuery and Pygal.mp4
13.5 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/02. Demo - Defining and Invoking Custom Functions.mp4
13.4 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/10. Constructing a Dot Plot.mp4
13.4 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/09. Exploring Real Data with XY Plots.mp4
13.4 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/05. Constructing a Map Visualization.mp4
13.4 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/02. Understanding the HTML, CSS and Structure of Our Target Page.mp4
13.3 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/5. Filtering Data with str.contains.mp4
13.2 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/11. Demo - Sharing Visualizations Online Using Plotly.mp4
13.2 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/07. Demo - Building Models.mp4
12.9 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/2. Demo - Exploring the Notebook Interface.mp4
12.8 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/09. Demo - First Class Functions.mp4
12.7 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/7. Plot Data from a CSV File.mp4
12.6 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/04. Demo - If Else Statements.mp4
12.6 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/8. Demo - Executing Code to Integrate with S3 Buckets.mp4
12.6 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/07. More Querying and Database Functions.mp4
12.6 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/04. Demo - Windows - Installing Anaconda and Jupyter Notebooks.mp4
12.5 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/02. Construct a Basic Pie Chart.mp4
12.4 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/6. Demo - Building a Simple Regression Model on Datalab.mp4
12.4 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/10. Demo - Clustering.mp4
12.3 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/08. Demo - Building a Regression Model.mp4
12.3 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/2. Reviewing Our Target Auto-MPG Web Page.mp4
12.2 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/3. Concatenating Datasets.mp4
12.1 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/2. Demo - Introducing Built-in Functions.mp4
12.0 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/04. Visualizing Distributions with Box Plots.mp4
12.0 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/07. Demo - Installing and Setting up PyCharm.mp4
11.9 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/6. Interacting with Pygal Charts.mp4
11.8 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/12. Building a Treemap Visualization.mp4
11.8 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/03. Demo - Installing and Setting up IDLE.mp4
11.8 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/04. Chart, Serie, and Value Configurations.mp4
11.8 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/08. Demo - Cleaning Data.mp4
11.7 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/2. Dropping Columns.mp4
11.6 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/07. Demo - Simple Expressions.mp4
11.5 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/7. Demo - Setting up a SageMaker Notebook Instance on AWS.mp4
11.5 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/06. The Declarative API.mp4
11.5 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/3. Demo - String Functions, Return Values, and Nested Function Invocations.mp4
11.4 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/6. Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.mp4
11.4 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/05. Demo - Windows - Installing Jupyter Notebooks Using Pip.mp4
11.3 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/05. Defining Styles and Configs.mp4
11.2 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/07. Demo - Widgets.mp4
11.1 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/07. Demo - Invoking Functions with Keyword Arguments.mp4
11.1 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/6. Building a Flask App to Render Pygal Charts.mp4
11.1 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/11. Demo - Wrangling and Visualizing Data.mp4
10.9 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/6. Demo - Using Python 2 and Python 3 Kernels.mp4
10.8 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/4. Renaming Columns.mp4
10.8 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/6. Cloudera Data Science Workbench for Data Science at Scale.mp4
10.8 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/8. Demo - Introducing Dictionaries.mp4
10.7 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/08. Creating Gauge Plots.mp4
10.7 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/06. Introducing Line and Datetimeline Charts.mp4
10.7 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/7. Demo - Overwriting and Appending Content to a File.mp4
10.5 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/5. Demo - Exploring and Working with Azure Notebooks.mp4
10.4 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/2. Viewing and Converting Types.mp4
10.4 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/4. Using .iloc to Access Specific Rows or Columns.mp4
10.4 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/exercise.7z
10.4 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/09. Demo - Variables.mp4
10.4 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/10. Refactoring Our Code and Caching Our Scraped Data.mp4
10.3 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/04. Demo - Returning Values from Functions.mp4
10.2 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/08. Demo - Exploring Magic Commands.mp4
10.2 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/08. Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.mp4
10.2 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/07. Demo - Restarting and Switching Kernels.mp4
10.1 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/10. Demo - Visualizing Relationships in Data.mp4
10.1 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/05. Demo - Interactive Forms.mp4
10.1 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/4. Demo - Customizing Shortcuts.mp4
10.0 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/04. Python for Data Analysts.mp4
9.9 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/07. Plotting Real Data with Line and Dateline Charts.mp4
9.8 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/4. Primary Keys, Constraints, and Data Defaults.mp4
9.8 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/5. Dropping Rows of Data.mp4
9.8 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/09. Dealing with Missing Data during the Scrape.mp4
9.8 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/07. Demo - MacOS - Using Brew to Install Python 3.mp4
9.7 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/2. Direct Filtering with Square Brackets.mp4
9.7 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/5. Demo - Notebook Limits and Shutting down Kernels.mp4
9.7 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/3. Demo - Getting Started with Azure Notebooks.mp4
9.7 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/05. Extracting Information from a Scraped Division.mp4
9.6 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/05. Demo - Installing Anaconda Python on MacOS.mp4
9.5 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/4. Demo - Introducing Lists.mp4
9.4 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/06. Demo - Installing Anaconda Python on Windows.mp4
9.3 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/3. Demo - Restarting the Kernel.mp4
9.3 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/03. Introducing Jupyter Notebooks.mp4
9.3 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/03. Donut and Half Pie Charts.mp4
9.3 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/exercise.7z
9.2 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/3. Aggregating Data.mp4
9.2 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/6. Demo - Reading the Contents of a File.mp4
9.2 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/10. Demo - Exploring Interactive Widgets.mp4
9.2 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/2. Importing sqlite Database Files.mp4
9.1 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/4. Demo - Uploading Notebooks to SageMaker and Using the Terminal Window.mp4
9.1 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/03. Python for Data Analytics.mp4
9.0 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/3. Demo - Why and How to Use the GroupBy Function.mp4
9.0 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/03. Demo - Introducing the Google Colab Interface.mp4
9.0 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/3. Data Indexing with .loc.mp4
9.0 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/05. Demo - Installing the Python 2 Kernel along with Python 3.mp4
8.9 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/5. Importing Data from Relational Databases with pandas (MySQL).mp4
8.9 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/08. Demo - Logical Operations.mp4
8.9 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/03. Pyramid Charts.mp4
8.8 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/8. Demo - Working with CSV and JSON Files.mp4
8.8 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/5. Install Pygal.mp4
8.7 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/3. Exploratory Data Analysis Strategy.mp4
8.7 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/06. Demo - Windows - Installing Python and Using Pip to Install Packages.mp4
8.7 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/5. Transforming Data.mp4
8.7 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/09. Demo - Line Magic and Cell Magic Commands.mp4
8.5 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/07. Demo - Iterating over List Elements Using a For Loop.mp4
8.5 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/4. Working with Databases Using SQLAlchemy.mp4
8.5 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/03. Coming up with a Strategy for a More Complicated Web Page.mp4
8.5 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/4. Using Jupyter Notebook for Data Science.mp4
8.5 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/4. Normalizing Data.mp4
8.4 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/02. Transactional and Analytical Processing.mp4
8.4 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/11. Demo - Anomaly Detection.mp4
8.4 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/03. Demo - If Statements for Conditional Branching.mp4
8.3 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/7. Working with Databases in Python Using an IDE.mp4
8.3 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/3. Demo - Introducing NumPy.mp4
8.3 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/07. Constructing a Funnel Visualization.mp4
8.3 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/5. Create Frequency Table with the Crosstab Function.mp4
8.3 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/1. Exporting Scraped Data to a CSV File.mp4
8.2 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/7. Demo - Uploading Files and Running Code on GCP.mp4
8.2 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/5. Demo - List Slicing Operations and List Functions.mp4
8.2 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/3. Vector and Raster Images.mp4
8.1 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/08. Demo - MacOS - Using Pip to Install Packages.mp4
8.1 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/8. Unit Testing with an IDE.mp4
8.0 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/8. Stacked Bar Charts.mp4
7.9 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/11. Demo - Break.mp4
7.9 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/10. Demo - Basic Types and Type Conversions.mp4
7.9 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/07. Workflows in Data Analytics.mp4
7.9 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/04. Essential Analytical Building Blocks.mp4
7.8 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/5. Investigating Relationships between MPG and Weight.mp4
7.8 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/7. Demo - Introducing Tuples.mp4
7.7 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/12. Demo - Continue and Pass.mp4
7.6 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/09. Demo - Installing and Working with Virtual Environments.mp4
7.6 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/exercise.7z
7.6 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/6. Reading Pickle Files.mp4
7.4 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/02. Plotting Histograms.mp4
7.4 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/04. Python Development Environments.mp4
7.4 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/12. Demo - Using Online Editors to Write Python Code.mp4
7.4 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/6. Filtering Data.mp4
7.4 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/09. Solid Gauge Plots.mp4
7.4 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/4. Merging Datasets.mp4
7.3 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/08. Introducing XY Plots.mp4
7.2 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/06. Demo - Modification of Complex Types within Functions.mp4
7.1 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/05. Python Resources for Analysts.mp4
7.1 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/03. Demo - Windows Installing Anaconda and Running Jupyter Notebooks.mp4
7.0 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/11. Demo - Editing a Python Script Using SublimeText.mp4
7.0 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/2. Reading SAS Files with pandas.mp4
7.0 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/2. Updating Data in a Database.mp4
6.9 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/06. Demo - Executing Code in Jupyter.mp4
6.9 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/3. Loading Data Using SQLAlchemy.mp4
6.9 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/4. Reading HDF5 Files.mp4
6.9 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/11. Demo - Simple Strings and Multi-line Strings.mp4
6.8 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/05. Python Packages.mp4
6.7 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/4. Reviewing Our Hypothesis.mp4
6.7 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/2. Getting a Data Overview with Pandas.mp4
6.7 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/06. Demo - If-elif for Multiple Conditional Checks.mp4
6.7 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/9. Telling a Data Story to Explain Our Discoveries.mp4
6.5 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/3. Demo - Convert Categorical Values Using One-hot Encoding.mp4
6.4 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/5. Inserting Data - Single and Multiple Rows.mp4
6.4 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/3. Reshape Long Data to Wide Data with the Pivot Function.mp4
6.4 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/06. Using Selectors as an Alternative to the Find Method.mp4
6.4 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/2. Stripping White Space.mp4
6.4 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/3. The Complicated Difference between Dynamic and Static Web Pages.mp4
6.3 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/2. Running Hosted Jupyter Notebooks on the Cloud.mp4
6.2 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/03. Connecting to Databases - Connectors and the Connection String.mp4
6.2 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/09. Demo - Integrating with Github.mp4
6.2 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/3. Changing Column Casing.mp4
6.2 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/2. Installing and Importing SQLAlchemy.mp4
6.1 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/2. Jupyter on the Cloud.mp4
5.9 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/05. Object-relational Mapper (ORM) and Classical Mapping.mp4
5.9 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/12. Demo - Prototyping a Classifier.mp4
5.8 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/08. Demo - Assigning Default Values for Input Arguments.mp4
5.8 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/4. Filter and Transform with GroupBy.mp4
5.7 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/03. Demo - Passing Input Arguments to Functions.mp4
5.7 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/02. Picking a Database.mp4
5.7 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/5. Visualizing and Graphing Data with Matplotlib.mp4
5.7 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/7. Demo - Using R and Python 3 Kernels.mp4
5.7 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/5. Building Sparklines.mp4
5.7 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/10. Demo - Editing a Python Script Using Nano and Vim.mp4
5.7 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/4. Filling Missing Data with a Value.mp4
5.6 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/2. Leveraging Data Science and Scientific Tools in PyCharm.mp4
5.6 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/05. Demo - Using if with Lists and Dictionary Elements.mp4
5.5 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/08. Demo - Using For Loops with the Range Function.mp4
5.5 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/6. The How Parameter.mp4
5.5 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/2. Demo - Working with the Math Module.mp4
5.5 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/3. Reading Stata Files with pandas.mp4
5.4 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/02. Introducing Jupyter Notebooks.mp4
5.4 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/2. Introducing Pygal.mp4
5.3 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/06. Demo - Accessing Google Drive Contents from Colab.mp4
5.2 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/09. Demo - Summary Statistics and Basic Analysis.mp4
5.2 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/5. Merge Keys.mp4
5.2 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/3. Creating Tables.mp4
5.2 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/06. Demo - Splitting into Training and Test Subsets.mp4
5.1 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/4. Create Dummy Variables with Pandas.mp4
5.1 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/3. Working with an IDE Built for Scientific Python - Spyder.mp4
5.1 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/5. Using Apache Zeppelin for Data Science.mp4
5.1 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/01. A Primer on HTML and CSS.mp4
5.1 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/7. Importing Relational Data.mp4
4.9 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4
4.8 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/08. Demo - Evaluating Models.mp4
4.8 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/03. Python for Data Analysts.mp4
4.7 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/4. Demo - Introducing Pandas.mp4
4.7 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/4. The SVG Format.mp4
4.7 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/04. Demo - Colab Notebooks—Similar yet Different.mp4
4.7 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/6. Demo - Concatenating and Copying Lists.mp4
4.7 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/5. Demo - Grouping Multi-index Data.mp4
4.6 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/1. Course Overview/1. Course Overview.mp4
4.6 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/1. Course Overview/1. Course Overview.mp4
4.5 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/11. Representing Negative Values in a Dot Plot.mp4
4.5 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/1. Leveraging a Python IDE for Data Science.mp4
4.4 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/1. Course Overview/1. Course Overview.mp4
4.4 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/4. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.mp4
4.4 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/1. Course Overview/1. Course Overview.mp4
4.4 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/5. Reshape Data Using the Stack and Unstack Functions.mp4
4.3 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/5. Demo - Save, Checkpoint, and Export Notebooks.mp4
4.3 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/8. Understanding Brands and Territories with Text Processing.mp4
4.2 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4
4.2 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/09. Demo - Iterating over Dictionary Elements Using a For Loop.mp4
4.1 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/02. Introducing Big ML.mp4
4.1 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/1. Course Overview/1. Course Overview.mp4
4.1 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/1. Up and Running with SQLAlchemy.mp4
4.0 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/6. Working with PostgreSQL with psycopg2 and SQLAlchemy.mp4
4.0 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/9. Takeaway.mp4
3.9 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/2. One-hot Encoding.mp4
3.9 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/02. Exploring Popular IDEs for Python.mp4
3.9 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/2. Introduction to Data Reshaping.mp4
3.9 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4
3.9 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/7. Looking at MPG over the Years.mp4
3.9 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/6. Understanding How Cylinders and Displacement Are Related.mp4
3.8 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/6. Points to Consider for Data Normalization and Summary.mp4
3.8 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/4. Reshape Wide Data to Long Using the Melt Function.mp4
3.8 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/5. Z-score Normalization.mp4
3.7 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/1. Introduction.mp4
3.7 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/3. Simple Feature Scaling.mp4
3.6 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/1. Course Overview/1. Course Overview.mp4
3.6 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/6. Reshaping and Aggregation with Pivot Table.mp4
3.6 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/4. Min-max Scaling.mp4
3.6 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/1. General Strategies for Scraping Web Pages.mp4
3.6 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/3. Taking Advantage of pandas DataFrames When Querying sqlite.mp4
3.6 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/4. Deleting Data from a Database.mp4
3.6 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/03. Demo - Getting Started with Big ML.mp4
3.6 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/09. Working with Hierarchical Tables.mp4
3.5 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/2. Code Editors vs. Integrated Development Environments.mp4
3.5 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/7. Testing the Flask App.mp4
3.5 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.mp4
3.5 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/7. Demo - Disambiguating Merged Columns and Updating Dataframes.mp4
3.4 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/2. The GroupBy Function.mp4
3.4 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/exercise.7z
3.4 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/2. Creating Databases.mp4
3.4 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/1. Module Overview.mp4
3.3 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/1. Course Overview/1. Course Overview.mp4
3.3 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/2. Normalizing Data - What and Why.mp4
3.3 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/5. Reading Matlab Files.mp4
3.2 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/5. Final Takeaway/1. Final Takeaway.mp4
3.2 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/7. Review.mp4
3.1 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/6. Final Takeaway/1. Final Takeaway.mp4
3.0 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/02. Introducing Google Colab.mp4
2.9 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/6. Loading a CSV into a Table.mp4
2.9 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/1. Course and Module Introduction.mp4
2.9 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/5. Takeaway.mp4
2.8 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/1. Introduction.mp4
2.8 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/01. Module Overview.mp4
2.8 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/1. Importing Data into Python from JSON and XML Files.mp4
2.7 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/6. Review.mp4
2.7 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/9. Summary and Further Study.mp4
2.6 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/9. Module Summary.mp4
2.6 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/1. Module Overview.mp4
2.5 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/8. Summary and Further Study.mp4
2.5 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/10. Summary and Further Study.mp4
2.5 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/13. Module Summary.mp4
2.5 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/exercise.7z
2.4 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/8. Summary.mp4
2.4 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/7. Module Summary.mp4
2.4 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/5. Review.mp4
2.3 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/1. Introduction.mp4
2.3 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/01. Module Overview.mp4
2.3 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/12. Module Summary.mp4
2.3 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/8. Summary.mp4
2.3 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/01. Module Overview.mp4
2.3 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/1. Overview.mp4
2.3 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/04. Querying with SQL.mp4
2.3 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/9. Module Summary.mp4
2.3 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/1. Module Overview.mp4
2.3 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/01. Module Overview.mp4
2.2 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/exercise.7z
2.2 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/1. Module Overview.mp4
2.2 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/01. Module Overview.mp4
2.2 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/01. Overview.mp4
2.2 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/01. Module Overview.mp4
2.2 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/08. Using Joins.mp4
2.2 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/01. Module Overview.mp4
2.1 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/2. Software and Course Prerequisites.mp4
2.1 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/1. Module Overview.mp4
2.1 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/10. Module Summary.mp4
2.1 MB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/07. Advice and Strategy for Scraping.mp4
2.1 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/9. Module Summary.mp4
2.1 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/12. Module Summary.mp4
2.1 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/01. Module Overview.mp4
2.1 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/10. Module Summary.mp4
2.1 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/10. Module Summary.mp4
2.1 MB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/02. Prerequisites and Course Outline.mp4
2.1 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/7. Review.mp4
2.1 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/5. Deleting Tables.mp4
2.1 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/10. Takeaway.mp4
2.0 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/1. Module Overview.mp4
2.0 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/13. Module Summary.mp4
2.0 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/02. Module Overview.mp4
1.9 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/02. Prerequisites and Course Outline.mp4
1.9 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/14. Module Summary.mp4
1.9 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/12. Module Summary.mp4
1.9 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/6. Summary and Feedback.mp4
1.9 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/5. Import Data into Python from Excel Files/1. Importing Data into Python from Excel Files.mp4
1.9 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/01. Module Overview.mp4
1.9 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/1. Importing Data into Python from Relational Databases.mp4
1.9 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/3. Correlated Updates.mp4
1.8 MB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/03. Prerequisites and Course Outline.mp4
1.8 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/1. Module Introduction.mp4
1.8 MB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/7. Takeaway.mp4
1.8 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/exercise.7z
1.7 MB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/02. Prerequisites and Course Outline.mp4
1.7 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/01. Querying with SQLAlchemy.mp4
1.7 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/1. Module Introduction.mp4
1.7 MB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/1. Introduction.mp4
1.6 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/1. Importing CSV Data into Python Using csv and pandas.mp4
1.6 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/1. Creating Databases with SQLAlchemy.mp4
1.5 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/6. Takeaway.mp4
1.5 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/6. Takeaway.mp4
1.5 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/1. Module Introduction.mp4
1.4 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/7. Takeaway.mp4
1.4 MB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/exercise.7z
1.3 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/1. Overview.mp4
1.3 MB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/1. Manipulating Databases with SQLAlchemy.mp4
1.3 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/1. Module Introduction.mp4
1.2 MB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/1. Importing Data into Python from Common Binary Data File Formats.mp4
1.1 MB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/7. Summary.mp4
1.0 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/10. Summary.mp4
1.0 MB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/01. Overview.mp4
945.4 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/exercise.7z
941.5 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/exercise.7z
833.3 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/13. Summary.mp4
747.6 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/01. Version Check.mp4
583.6 kB
scr.png
226.5 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/3. Importing Text and CSV Files Using pandas.vtt
24.2 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/5. Running and Debugging Python Code with an IDE.vtt
18.5 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/4. Configuring Python Features for Specific Code Editors.vtt
18.4 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/3. Overview of Available Code Editors for Python.vtt
17.8 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/1. Improving Your Productivity Programming in Python with an IDE.vtt
14.2 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/2. Importing Data into Python from JSON Using the JSON Library.vtt
14.2 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/6. Integrating with Version Control Using an IDE.vtt
14.0 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/5. Import Data into Python from Excel Files/2. Importing Excel Files Using pandas.vtt
14.0 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/4. Organizing, Navigating, Refactoring, and Styling Code.vtt
13.6 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/10. Demo - Conditional Looping Using While Loops.vtt
12.6 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/13. Demo - Writing a Python Script for a Classification Model.vtt
12.2 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/04. Demo - Configuring Data Sources and Creating Datasets.vtt
12.1 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/02. Demo - Defining and Invoking Custom Functions.vtt
12.0 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/3. Demo - Exploring Interactive Widgets.vtt
11.9 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/8. Demo - Exploring Line and Cell Magic Commands.vtt
11.4 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/2. Demo - Analyzing and Visualizing Data.vtt
11.2 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/3. Features That Improve Productivity Coding with an IDE.vtt
11.1 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/5. Demo - Working with the Command Line Processes and Environment Variables.vtt
11.0 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/4. Demo - Adding Interactivity to Custom Functions.vtt
10.8 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/2. Importing Text Data into Python Using NumPy/2. Importing Flat Files and Numeric Data Using NumPy.vtt
10.7 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/2. Demo - Exploring the Notebook Interface.vtt
10.7 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/2. Customizing IDEs.vtt
10.5 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/2. Demo - Introducing Built-in Functions.vtt
10.5 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/04. Demo - Running and Debugging Code with IDLE.vtt
10.4 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/03. Introducing Jupyter Notebooks.vtt
10.3 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/10. Constructing a Dot Plot.vtt
10.2 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/3. Demo - String Functions, Return Values, and Nested Function Invocations.vtt
10.1 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/05. Demo - Data Preparation and Visualization.vtt
10.0 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/05. Constructing a Map Visualization.vtt
10.0 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/06. Generating Radar Plots.vtt
10.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/09. Demo - First Class Functions.vtt
10.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/04. Demo - If Else Statements.vtt
9.9 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/04. Python for Data Analysts.vtt
9.9 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/7. Plot Data from a CSV File.vtt
9.9 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/06. Demo - Running and Debugging Code with Eclipse.vtt
9.8 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/12. Building a Treemap Visualization.vtt
9.7 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/06. Demo - Exploring Online Resources.vtt
9.7 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/09. Demo - Working with Spyder.vtt
9.7 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/07. Demo - Simple Expressions.vtt
9.6 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/05. Defining Styles and Configs.vtt
9.6 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/08. Demo - Running and Debugging Code with PyCharm.vtt
9.5 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/06. The Declarative API.vtt
9.4 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/09. Exploring Real Data with XY Plots.vtt
9.4 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/6. Demo - Building a Simple Regression Model on Datalab.vtt
9.4 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/2. Rendering Charts to Image Files.vtt
9.4 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/05. Demo - Interactive Forms.vtt
9.3 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/8. Demo - Introducing Dictionaries.vtt
9.2 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/02. Construct a Basic Pie Chart.vtt
9.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/05. Demo - Reassignment of Variables within Functions.vtt
9.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/7. Demo - Overwriting and Appending Content to a File.vtt
9.0 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/03. Python for Data Analytics.vtt
8.9 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/2. Importing CSV Files Using the Python csv Module.vtt
8.9 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/6. Building a Flask App to Render Pygal Charts.vtt
8.8 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/08. Demo - Building a Regression Model.vtt
8.7 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/04. Chart, Serie, and Value Configurations.vtt
8.7 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/3. Demo - Creating and Working with Notebook Instances on Amazon SageMaker.vtt
8.7 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/5. Demo - Setting up and Connecting to Cloud Datalab on the GCP.vtt
8.7 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/5. Install Pygal.vtt
8.7 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/04. Demo - Windows - Installing Anaconda and Jupyter Notebooks.vtt
8.6 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/09. Demo - Variables.vtt
8.5 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/07. Demo - Invoking Functions with Keyword Arguments.vtt
8.5 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/08. Demo - Cleaning Data.vtt
8.5 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/04. Visualizing Distributions with Box Plots.vtt
8.5 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/06. Demo - MacOS - Installing Anaconda and Jupyter Notebooks.vtt
8.5 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/11. Adding a Test to Verify Our Regular Expression Processing.vtt
8.4 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/07. Demo - Widgets.vtt
8.4 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/1. Programming Python Using an IDE! But Why And Which One.vtt
8.3 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/3. Concatenating Datasets.vtt
8.3 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/09. Demo - Batch and Individual Predictions.vtt
8.2 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/2. Importing Text Data into Python Using NumPy/1. Importing Text Data into Python Using NumPy.vtt
8.2 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/10. Demo - Clustering.vtt
8.1 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/05. Python Resources for Analysts.vtt
8.1 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/07. Demo - Building Models.vtt
8.1 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/6. Interacting with Pygal Charts.vtt
8.0 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/08. Creating Gauge Plots.vtt
8.0 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/07. Workflows in Data Analytics.vtt
8.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/4. Demo - Introducing Lists.vtt
8.0 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/06. Introducing Line and Datetimeline Charts.vtt
7.9 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/4. Primary Keys, Constraints, and Data Defaults.vtt
7.9 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/04. Essential Analytical Building Blocks.vtt
7.8 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/04. Python Development Environments.vtt
7.8 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/04. Demo - Returning Values from Functions.vtt
7.8 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/11. Demo - Wrangling and Visualizing Data.vtt
7.7 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/08. Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.vtt
7.7 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/05. Demo - Installing Anaconda Python on MacOS.vtt
7.7 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/6. Demo - Share Notebooks on Github.vtt
7.6 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/03. Donut and Half Pie Charts.vtt
7.6 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/6. Demo - Reading the Contents of a File.vtt
7.6 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/03. Demo - Installing and Setting up IDLE.vtt
7.5 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/09. Demo - MacOS - Installing Jupyter Lab Using Pip.vtt
7.5 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/08. Demo - Exploring Magic Commands.vtt
7.4 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/02. Transactional and Analytical Processing.vtt
7.4 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/3. Importing Data into Python from XML Using the ElementTree XML API.vtt
7.4 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/8. Demo - Executing Code to Integrate with S3 Buckets.vtt
7.3 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/4. Demo - Analyzing and Visualizing Data on Azure Notebooks.vtt
7.3 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/07. Demo - Iterating over List Elements Using a For Loop.vtt
7.3 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/05. Demo - Installing Eclipse and Setting up the PyDev Plugin.vtt
7.2 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/4. Working with Databases Using SQLAlchemy.vtt
7.1 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/6. Identifying and Dropping Duplicate Data.vtt
7.1 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/6. Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.vtt
7.1 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/11. Demo - Sharing Visualizations Online Using Plotly.vtt
7.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/08. Demo - Logical Operations.vtt
6.9 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/03. Pyramid Charts.vtt
6.9 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/4. PyQuery and Pygal.vtt
6.9 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/05. Demo - Windows - Installing Jupyter Notebooks Using Pip.vtt
6.9 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/8. Demo - Working with CSV and JSON Files.vtt
6.9 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/10. Demo - Basic Types and Type Conversions.vtt
6.9 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/07. Demo - Restarting and Switching Kernels.vtt
6.9 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/07. More Querying and Database Functions.vtt
6.8 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/8. Stacked Bar Charts.vtt
6.8 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/07. Plotting Real Data with Line and Dateline Charts.vtt
6.8 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/2. Updating Data in a Database.vtt
6.8 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/03. Demo - If Statements for Conditional Branching.vtt
6.8 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/2. Reviewing Our Target Auto-MPG Web Page.vtt
6.8 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/11. Demo - Break.vtt
6.8 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/07. Demo - Installing and Setting up PyCharm.vtt
6.8 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/2. Importing sqlite Database Files.vtt
6.8 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/3. Demo - Introducing NumPy.vtt
6.7 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/3. Vector and Raster Images.vtt
6.7 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/2. Running Hosted Jupyter Notebooks on the Cloud.vtt
6.7 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/5. Demo - List Slicing Operations and List Functions.vtt
6.6 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/3. Demo - Restarting the Kernel.vtt
6.6 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/7. Demo - Introducing Tuples.vtt
6.6 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/6. Cloudera Data Science Workbench for Data Science at Scale.vtt
6.5 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/6. Demo - Using Python 2 and Python 3 Kernels.vtt
6.5 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/5. Demo - Notebook Limits and Shutting down Kernels.vtt
6.5 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/3. Demo - Getting Started with Azure Notebooks.vtt
6.5 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/3. Exploratory Data Analysis Strategy.vtt
6.5 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/12. Demo - Continue and Pass.vtt
6.4 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/10. Demo - Visualizing Relationships in Data.vtt
6.4 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/02. Understanding the HTML, CSS and Structure of Our Target Page.vtt
6.4 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/06. Demo - Installing Anaconda Python on Windows.vtt
6.4 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/08. Building the Scraper Module Using PyCharm.vtt
6.3 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/05. Python Packages.vtt
6.3 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/06. Demo - Windows - Installing Python and Using Pip to Install Packages.vtt
6.2 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/09. Demo - Line Magic and Cell Magic Commands.vtt
6.2 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/7. Demo - Setting up a SageMaker Notebook Instance on AWS.vtt
6.2 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/01. A Primer on HTML and CSS.vtt
6.2 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/3. Loading Data Using SQLAlchemy.vtt
6.1 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/4. Merging Datasets.vtt
6.1 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/08. Demo - MacOS - Using Pip to Install Packages.vtt
6.1 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/5. Importing Data from Relational Databases with pandas (MySQL).vtt
6.1 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/2. Jupyter on the Cloud.vtt
6.1 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/06. Demo - Executing Code in Jupyter.vtt
6.0 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/10. Demo - Exploring Interactive Widgets.vtt
6.0 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/5. Inserting Data - Single and Multiple Rows.vtt
6.0 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/07. Constructing a Funnel Visualization.vtt
6.0 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/09. Solid Gauge Plots.vtt
6.0 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/07. Demo - MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Instal.vtt
5.9 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/3. Replacing Bad Data with NaN.vtt
5.9 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/02. Plotting Histograms.vtt
5.9 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/02. Introducing Jupyter Notebooks.vtt
5.9 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/08. Introducing XY Plots.vtt
5.9 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/12. Demo - Using Online Editors to Write Python Code.vtt
5.8 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/11. Demo - Simple Strings and Multi-line Strings.vtt
5.8 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/3. Rendering Charts to Specialized Formats.vtt
5.8 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/4. Reviewing Our Hypothesis.vtt
5.7 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/04. Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.vtt
5.7 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/5. Create Frequency Table with the Crosstab Function.vtt
5.7 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/07. Demo - MacOS - Using Brew to Install Python 3.vtt
5.7 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/4. The SVG Format.vtt
5.6 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/03. Demo - Introducing the Google Colab Interface.vtt
5.6 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/2. Introducing Pygal.vtt
5.5 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/3. Demo - Why and How to Use the GroupBy Function.vtt
5.5 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/04. Using BeautifulSoup4 to Navigate Our Scraped Data.vtt
5.4 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/05. Object-relational Mapper (ORM) and Classical Mapping.vtt
5.4 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/4. Using Jupyter Notebook for Data Science.vtt
5.3 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/5. Investigating Relationships between MPG and Weight.vtt
5.3 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/10. Demo - Editing a Python Script Using Nano and Vim.vtt
5.3 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/5. Filtering Data with str.contains.vtt
5.3 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/09. Demo - Installing and Working with Virtual Environments.vtt
5.3 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/2. Viewing and Converting Types.vtt
5.3 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/5. Visualizing and Graphing Data with Matplotlib.vtt
5.2 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/5. Dropping Rows of Data.vtt
5.2 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/03. Connecting to Databases - Connectors and the Connection String.vtt
5.2 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/5. Demo - Exploring and Working with Azure Notebooks.vtt
5.2 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/4. Demo - Customizing Shortcuts.vtt
5.1 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/05. Demo - Installing the Python 2 Kernel along with Python 3.vtt
5.1 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/5. Building Sparklines.vtt
5.1 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/playlist.m3u
5.0 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/9. Telling a Data Story to Explain Our Discoveries.vtt
5.0 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/03. Demo - Windows Installing Anaconda and Running Jupyter Notebooks.vtt
4.9 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/03. Python for Data Analysts.vtt
4.9 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/02. Exploring Popular IDEs for Python.vtt
4.9 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/06. Demo - Modification of Complex Types within Functions.vtt
4.8 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/2. Installing and Importing SQLAlchemy.vtt
4.8 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/3. The Complicated Difference between Dynamic and Static Web Pages.vtt
4.8 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/2. Reading SAS Files with pandas.vtt
4.8 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/08. Demo - Using For Loops with the Range Function.vtt
4.7 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/2. Demo - Working with the Math Module.vtt
4.7 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/06. Demo - If-elif for Multiple Conditional Checks.vtt
4.7 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/6. The How Parameter.vtt
4.7 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/11. Demo - Editing a Python Script Using SublimeText.vtt
4.6 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/03. Demo - Passing Input Arguments to Functions.vtt
4.6 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/12. Demo - Prototyping a Classifier.vtt
4.5 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/7. Working with Databases in Python Using an IDE.vtt
4.5 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/5. Merge Keys.vtt
4.4 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/05. Extracting Information from a Scraped Division.vtt
4.3 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/4. Create Dummy Variables with Pandas.vtt
4.3 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/11. Demo - Anomaly Detection.vtt
4.3 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/1. Leveraging a Python IDE for Data Science.vtt
4.3 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/2. Getting a Data Overview with Pandas.vtt
4.3 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/2. Leveraging Data Science and Scientific Tools in PyCharm.vtt
4.3 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/4. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.vtt
4.2 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/8. Unit Testing with an IDE.vtt
4.2 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/5. Transforming Data.vtt
4.2 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/4. Renaming Columns.vtt
4.2 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/02. Introducing Big ML.vtt
4.2 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/7. Demo - Using R and Python 3 Kernels.vtt
4.2 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/1. Up and Running with SQLAlchemy.vtt
4.2 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/6. Reading Pickle Files.vtt
4.2 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/02. Picking a Database.vtt
4.1 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/3. Demo - Convert Categorical Values Using One-hot Encoding.vtt
4.1 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/1. Introduction.vtt
4.1 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/3. Aggregating Data.vtt
4.1 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/4. Normalizing Data.vtt
4.1 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/3. Improving Your Productivity Programming in Python with an IDE/9. Takeaway.vtt
4.1 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/4. Reading HDF5 Files.vtt
4.1 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/4. Using .iloc to Access Specific Rows or Columns.vtt
4.1 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/2. One-hot Encoding.vtt
4.0 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/2. Introduction to Data Reshaping.vtt
4.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/05. Demo - Using if with Lists and Dictionary Elements.vtt
4.0 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/playlist.m3u
3.9 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/2. Setting Up BeautifulSoup/1. General Strategies for Scraping Web Pages.vtt
3.9 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/2. Code Editors vs. Integrated Development Environments.vtt
3.8 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/5. Demo - Save, Checkpoint, and Export Notebooks.vtt
3.8 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/08. Demo - Assigning Default Values for Input Arguments.vtt
3.8 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/4. Demo - Introducing Pandas.vtt
3.7 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/04. Demo - Colab Notebooks—Similar yet Different.vtt
3.7 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/06. Using Selectors as an Alternative to the Find Method.vtt
3.7 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/11. Representing Negative Values in a Dot Plot.vtt
3.7 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/4. Filter and Transform with GroupBy.vtt
3.7 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/09. Demo - Summary Statistics and Basic Analysis.vtt
3.7 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/03. Coming up with a Strategy for a More Complicated Web Page.vtt
3.6 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/7. Importing Relational Data.vtt
3.6 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/1. Module Overview.vtt
3.6 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/3. Data Indexing with .loc.vtt
3.6 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/6. Demo - Concatenating and Copying Lists.vtt
3.6 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/06. Demo - Accessing Google Drive Contents from Colab.vtt
3.6 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/3. Creating Tables.vtt
3.6 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/2. The GroupBy Function.vtt
3.5 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/4. Deleting Data from a Database.vtt
3.5 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/4. Demo - Uploading Notebooks to SageMaker and Using the Terminal Window.vtt
3.5 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/2. Direct Filtering with Square Brackets.vtt
3.5 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/2. Dropping Columns.vtt
3.5 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/6. Working with PostgreSQL with psycopg2 and SQLAlchemy.vtt
3.5 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/7. Testing the Flask App.vtt
3.5 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/5. Reshape Data Using the Stack and Unstack Functions.vtt
3.5 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/3. Reshape Long Data to Wide Data with the Pivot Function.vtt
3.4 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/1. Exporting Scraped Data to a CSV File.vtt
3.4 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/playlist.m3u
3.4 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/5. Final Takeaway/1. Final Takeaway.vtt
3.3 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/1. Introduction.vtt
3.3 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/09. Demo - Integrating with Github.vtt
3.3 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/2. Creating Databases.vtt
3.3 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt
3.2 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/6. Points to Consider for Data Normalization and Summary.vtt
3.2 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/6. Filtering Data.vtt
3.2 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/1. Introduction.vtt
3.2 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/09. Demo - Iterating over Dictionary Elements Using a For Loop.vtt
3.2 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/playlist.m3u
3.2 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/2. Programming Python Using an IDE! But Why And Which One/5. Takeaway.vtt
3.1 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/6. Final Takeaway/1. Final Takeaway.vtt
3.1 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/5. Demo - Grouping Multi-index Data.vtt
3.1 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt
3.1 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/7. Demo - Uploading Files and Running Code on GCP.vtt
3.1 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/5. Z-score Normalization.vtt
3.0 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/1. Course Overview/1. Course Overview.vtt
3.0 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/7. Review.vtt
3.0 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/8. Understanding Brands and Territories with Text Processing.vtt
3.0 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/9. Summary and Further Study.vtt
2.9 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/09. Working with Hierarchical Tables.vtt
2.9 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/3. Changing Column Casing.vtt
2.9 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt
2.9 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/7. Looking at MPG over the Years.vtt
2.9 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/5. Working with Cloud-hosted Jupyter Notebooks/8. Summary and Further Study.vtt
2.9 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/1. Course Overview/1. Course Overview.vtt
2.9 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/02. Introducing Google Colab.vtt
2.9 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/2. Normalizing Data - What and Why.vtt
2.8 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/4. Making Scraped Data Usable/6. Understanding How Cylinders and Displacement Are Related.vtt
2.8 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/01. Module Overview.vtt
2.8 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/5. Working with Python on the Cloud/1. Module Overview.vtt
2.8 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/3. Reading Stata Files with pandas.vtt
2.7 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/7. Demo - Disambiguating Merged Columns and Updating Dataframes.vtt
2.7 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/1. Course and Module Introduction.vtt
2.7 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/8. Summary.vtt
2.7 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/9. Module Summary.vtt
2.7 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/07. Advice and Strategy for Scraping.vtt
2.7 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/1. Course Overview/1. Course Overview.vtt
2.7 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/06. Demo - Splitting into Training and Test Subsets.vtt
2.7 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/6. Loading a CSV into a Table.vtt
2.7 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/1. Course Overview/1. Course Overview.vtt
2.7 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/08. Demo - Evaluating Models.vtt
2.7 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/4. Reshape Wide Data to Long Using the Melt Function.vtt
2.7 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/playlist.m3u
2.6 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/6. Reshaping and Aggregation with Pivot Table.vtt
2.6 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/02. Prerequisites and Course Outline.vtt
2.6 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/10. Summary and Further Study.vtt
2.6 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/3. Working with an IDE Built for Scientific Python - Spyder.vtt
2.6 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/5. Using Apache Zeppelin for Data Science.vtt
2.6 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/10. Refactoring Our Code and Caching Our Scraped Data.vtt
2.5 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/1. Course Overview/1. Course Overview.vtt
2.5 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/1. Course Overview/1. Course Overview.vtt
2.5 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/2. Stripping White Space.vtt
2.5 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/playlist.m3u
2.5 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/13. Module Summary.vtt
2.4 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/playlist.m3u
2.4 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/3. Removing and Fixing Columns with pandas/5. Review.vtt
2.4 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/01. Module Overview.vtt
2.4 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/03. Demo - Getting Started with Big ML.vtt
2.4 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/4. Min-max Scaling.vtt
2.4 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/1. Course Overview/1. Course Overview.vtt
2.4 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/~i.txt
2.4 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/4. Working with Python Using Other IDEs/10. Module Summary.vtt
2.4 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/01. Overview.vtt
2.4 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/6. Review.vtt
2.3 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/9. Module Summary.vtt
2.3 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/3. Taking Advantage of pandas DataFrames When Querying sqlite.vtt
2.3 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/1. Course Overview/1. Course Overview.vtt
2.3 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/5. Implementing Code Reuse Using Functions in Python/10. Module Summary.vtt
2.3 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/2. Understanding Your Data/7. Review.vtt
2.3 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/02. Prerequisites and Course Outline.vtt
2.3 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/7. Module Summary.vtt
2.3 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/12. Module Summary.vtt
2.3 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/10. Module Summary.vtt
2.3 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/playlist.m3u
2.3 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/2. Getting Started with Jupyter Notebooks/01. Module Overview.vtt
2.3 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/5. Deleting Tables.vtt
2.3 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/3. Understanding Jupyter Notebooks/1. Module Overview.vtt
2.2 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/~i.txt
2.2 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/4. Creating Shareable Analyses in Jupyter Notebooks/1. Module Overview.vtt
2.2 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/5. Reading Matlab Files.vtt
2.2 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/10. Takeaway.vtt
2.2 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/3. Working with Python Using Anaconda/01. Module Overview.vtt
2.2 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/03. Prerequisites and Course Outline.vtt
2.2 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/4. Working with Interactive Environment Using Google Colab/01. Module Overview.vtt
2.2 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/12. Module Summary.vtt
2.1 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/3. Simple Feature Scaling.vtt
2.1 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/5. Import Data into Python from Excel Files/1. Importing Data into Python from Excel Files.vtt
2.1 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/1. Module Overview.vtt
2.1 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/3. Leveraging Built-in Functions and Complex Data Types/9. Module Summary.vtt
2.1 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/01. Module Overview.vtt
2.1 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/5. Handling Bad, Missing, and Duplicate Data/4. Filling Missing Data with a Value.vtt
2.0 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/3. Understanding Your Scraped Data/09. Dealing with Missing Data during the Scrape.vtt
2.0 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/3. Leveraging Online Resources for Python Analytics with BigML/01. Module Overview.vtt
2.0 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/4. Indexing and Filtering Datasets/1. Introduction.vtt
2.0 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/8. Summary.vtt
2.0 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/01. Querying with SQLAlchemy.vtt
2.0 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/2. Getting Data into Pygal/1. Overview.vtt
2.0 kB
A4. Create and Share Analytics with Jupyter Notebooks (Janani Ravi, 2019)/~i.txt
2.0 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/2. Getting Started with Python for Analytics/01. Module Overview.vtt
2.0 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/playlist.m3u
2.0 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/playlist.m3u
2.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/6. Loading and Saving Data Using Python/1. Module Overview.vtt
2.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/01. Module Overview.vtt
2.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/02. Prerequisites and Course Outline.vtt
2.0 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/4. Import Data into Python from JSON and XML Files/1. Importing Data into Python from JSON and XML Files.vtt
2.0 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/4. Using Python for Complex Interconnected Calculations/13. Module Summary.vtt
1.9 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/02. Module Overview.vtt
1.9 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/2. Getting Started with Python for Data Analysis/12. Module Summary.vtt
1.9 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/6. Takeaway.vtt
1.9 kB
A2. Python for Data Analysts (Janani Ravi, 2019)/~i.txt
1.9 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/6. Summary and Feedback.vtt
1.9 kB
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/14. Module Summary.vtt
1.9 kB
A1. Building Your First Python Analytics Solution (Janani Ravi, 2019)/~i.txt
1.8 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/08. Using Joins.vtt
1.8 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/2. Concatenating and Merging Data from Different Sources/2. Software and Course Prerequisites.vtt
1.8 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/4. Leveraging a Python IDE for Data Science/7. Takeaway.vtt
1.8 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/6. Data Encoding with Python/1. Module Introduction.vtt
1.8 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/4. Normalizing Data with Pandas/1. Module Introduction.vtt
1.8 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/1. Creating Databases with SQLAlchemy.vtt
1.7 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/3. Correlated Updates.vtt
1.7 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/~i.txt
1.7 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/playlist.m3u
1.7 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/2. Up and Running with SQLAlchemy/6. Takeaway.vtt
1.6 kB
A3. Programming Python Using an IDE (Xavier Morera, 2019)/~i.txt
1.6 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/5. Manipulating Your Database/1. Manipulating Databases with SQLAlchemy.vtt
1.6 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/3. Querying with SQLAlchemy/04. Querying with SQL.vtt
1.6 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/4. Creating Your Database/7. Takeaway.vtt
1.6 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/7. Import Data into Python from Relational Databases/1. Importing Data into Python from Relational Databases.vtt
1.5 kB
B3. Cleaning Data. Python Data Playbook (Chris Achard, 2018)/~i.txt
1.5 kB
C1. Understanding Databases with SQLAlchemy. Python Data Playbook (Xavier Morera, 2019)/~i.txt
1.4 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/~i.txt
1.4 kB
C2. Web Scraping. Python Data Playbook (Ian Ozsvald, 2019)/~i.txt
1.4 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/5. Rendering Out Charts/1. Overview.vtt
1.4 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/1. Module Introduction.vtt
1.3 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/6. Import Data into Python from Common Binary Data File Formats/1. Importing Data into Python from Common Binary Data File Formats.vtt
1.2 kB
B1. Importing Data. Python Data Playbook (Xavier Morera, 2018)/3. Importing CSV Data into Python Using csv and pandas/1. Importing CSV Data into Python Using csv and pandas.vtt
1.2 kB
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/3. Combining Data into Groups/1. Module Introduction.vtt
1.2 kB
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/3. Plotting Basic Pygal Charts/10. Summary.vtt
931 Bytes
B2. Data Wrangling with Python (Pratheerth Padman, 2020)/5. Reshaping Data with Python/7. Summary.vtt
884 Bytes
~i.txt
816 Bytes
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/01. Overview.vtt
799 Bytes
B4. Pygal. Python Data Playbook (Kishan Iyer, 2019)/4. Visualizing Complex Data with Advanced Charts/13. Summary.vtt
628 Bytes
C3. Leveraging Online Resources for Python Analytics (Janani Ravi, 2019)/2. Getting Started with Python Analytics/01. Version Check.vtt
7 Bytes
随机展示
相关说明
本站不存储任何资源内容,只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符),并提供查询服务,是一个完全合法的搜索引擎系统。 网站不提供种子下载服务,用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责,请用户注意甄别!
>