Udemy - Data Analyst Boot camp 2025 Get Ready to Be a Data Analyst (7.2025)

磁力链接/BT种子名称

Udemy - Data Analyst Boot camp 2025 Get Ready to Be a Data Analyst (7.2025)

磁力链接/BT种子简介

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文件列表

  • 32. Statistics for Data Science/21. Linear Regression OLS model, Residual Analysis,Coefficients, P-Values, R-squared.mp4 208.9 MB
  • 37. Project 12 Using Pandas + Automation to Manage a Business Email List/3. Part 3.mp4 177.5 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/23. Logistic Regression Regularization & Identifying Negative Reviews.mp4 153.2 MB
  • 29. Project 7 Data Analysis using SQL + Python/1. How to Scrape a website.mp4 150.7 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/33. Dimension Reduction with PCA and Non-negative Matrix Factorization (NMF).mp4 144.4 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/25. Multi-class Logistic Regression.mp4 144.2 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/22. Loss Function Diagrams.mp4 137.5 MB
  • 37. Project 12 Using Pandas + Automation to Manage a Business Email List/2. Part 2.mp4 133.3 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/24. Logistic Regression and Probabilities.mp4 121.4 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/28. Transforming Features for Better Clustering & Clustering Stocks Using KMeans.mp4 113.9 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/13. Preprocessing Data and Creating Dummy Variable for Categorical Data Variables.mp4 111.8 MB
  • 08. Project 4 Twiter Chat Bot/3. Part 3.mp4 110.6 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/19. Linear Classifier & Decision Boundaries.mp4 106.7 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/17. Comparing Models.mp4 106.1 MB
  • 11. SQL Introduction/4. Airlines.sql 103.9 MB
  • 35. Project 10 Building Recommender System using NMF/1. Learn How to Building Recommender System using NMF!.mp4 103.4 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/26. Unsupervised Learning The Fundamentals of Clustering.mp4 102.2 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/11. Logistic Regression and the ROC Curve.mp4 102.1 MB
  • 36. Project 11 Google App Data Analysis/3. 3. Data Visualization Techniques.mp4 101.8 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/15. Centering and Scaling Techniques in ML Supervised Learning Algorithms.mp4 101.8 MB
  • 32. Statistics for Data Science/22. Multiple Linear Regression with statsmodels - Expanding to Multiple Predictors.mp4 96.1 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/14. Handling Missing Data And Creating The ML Pipeline.mp4 95.7 MB
  • 32. Statistics for Data Science/20. Hypothesis Testing Essentials - Chi-Square test for independence.mp4 95.0 MB
  • 20. Intermediate Sub-queries & Common Table Expression in SQL/2. SQL Sub-query + EXISTS, ANY OR ALL.mp4 94.6 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/31. Visualizing The PCA Transformation & Calculating Cumulative Explained Variance.mp4 94.2 MB
  • 32. Statistics for Data Science/12. Summary Statistics & Outliers.mp4 93.6 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/16. Evaluating Multiple Models with Examples.mp4 93.3 MB
  • 03. OOP in Python/2. Overviewing Constructor.mp4 92.2 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/18. Logistic Regression and Support Vector Machines for Text Classification.mp4 86.6 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/21. What is The Loss Function.mp4 86.2 MB
  • 25. How to Use Python + SQL/4. Using Pandas Library to load PostgreSQL Data Output file.mp4 85.9 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/12. Hyperparameter Tuning with GridSearchCV & RandomizedSearchCV.mp4 85.4 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/20. Linear Classifiers & The Coefficients.mp4 84.3 MB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/2. Accessing Data Using DataFrames.mp4 83.8 MB
  • 32. Statistics for Data Science/15. Introduction to Statsmodels.mp4 83.0 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/30. t-SNE for 2-dimensional maps.mp4 82.7 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/27. Clustering Evaluation & Optimization.mp4 82.5 MB
  • 07. Project 3 in Python/3. Project Solution.mp4 81.2 MB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/3. Data aggregation and summarization.mp4 80.7 MB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/1. Data manipulation using DataFrames.mp4 79.5 MB
  • 32. Statistics for Data Science/16. Exploring Datasets with Descriptive Statistics.mp4 79.2 MB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/6. Filtering Data.mp4 79.0 MB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/5. Essential Techniques for Peeking at & Describing our Data in Python.mp4 76.6 MB
  • 41. Using ChatGPT and Generative AI for Data/2. Generative AI for Data Science.mp4 75.9 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/3. The Supervised Learning Workflow.mp4 75.9 MB
  • 32. Statistics for Data Science/7. Data Visualization - Histogram.mp4 73.7 MB
  • 06. Project 2 in Python/4. Project Solution Part 2.mp4 73.4 MB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/4. Create New Columns, Drop Unnecessary Ones, and Perform Various Data Manipulation.mp4 73.2 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/29. Hierarchical Clustering & Visualizing Hierarchies.mp4 72.9 MB
  • 05. Project 1 in Python/3. Project Solution.mp4 72.7 MB
  • 21. Advanced PostgreSQL Math & Window functions/3. Window Functions RANK() + OVER() & NTILE() + OVER().mp4 72.1 MB
  • 39. Time Series Data Analysis using Python/2. Introduction to Time Series Analysis.mp4 71.7 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/32. Dimension Reduction with PCA.mp4 71.7 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/8. Regularized Regression.mp4 71.2 MB
  • 39. Time Series Data Analysis using Python/8. Window Functions in Time Series Analysis.mp4 71.0 MB
  • 09. Project 5 Face book Chat Bot/4. Hooking and Runnig The FB ChatBot App Using Ngrok.mp4 69.6 MB
  • 36. Project 11 Google App Data Analysis/6. 6. Conclusion.mp4 68.9 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/7. Cross-validation for R-squared & Analyzing Cross-Validation Metrics.mp4 68.3 MB
  • 32. Statistics for Data Science/19. Hypothesis Testing Essentials - Paired t-test.mp4 68.0 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/4. Measuring Model Performance.mp4 65.8 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/9. The k-Nearest Neighbors Classification Supervised ML Learning Algorithms.mp4 64.9 MB
  • 20. Intermediate Sub-queries & Common Table Expression in SQL/3. Common Table Expression.mp4 63.9 MB
  • 36. Project 11 Google App Data Analysis/1. 1. Visual Exploring of Google App Store Data.mp4 63.9 MB
  • 39. Time Series Data Analysis using Python/4. Accessing Datetime Attributes, Comparing Datetimes, & Making Relative Datetime.mp4 63.4 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/10. How Good is your Model and How to use Random Forest Classifier.mp4 63.2 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/6. The Basics of Linear regression & Regression Performance.mp4 61.5 MB
  • 06. Project 2 in Python/2. Project Helful Notes.mp4 61.3 MB
  • 02. Python Basics/23. Files and Modules in Python.mp4 61.1 MB
  • 39. Time Series Data Analysis using Python/5. Understanding Time Series Growth Rates & Comparing Stock Prices with a Benchmark.mp4 58.7 MB
  • 05. Project 1 in Python/2. Project Helpful Notes.mp4 58.4 MB
  • 08. Project 4 Twiter Chat Bot/2. Part 2.mp4 57.0 MB
  • 32. Statistics for Data Science/13. Correlations & Heatmaps.mp4 56.6 MB
  • 11. SQL Introduction/1. Introduction.mp4 56.5 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/1. Introduction to Machine learning with scikit-learn.mp4 56.3 MB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/5. Predicting Future Bitcoin Prices.mp4 55.9 MB
  • 19. Intermediate SQL Joins/1. INNER JOIN.mp4 55.6 MB
  • 31. Project 9 Save The Scraped Data to a Database/1. Save The Scraped Data to a newly created Database.mp4 54.3 MB
  • 36. Project 11 Google App Data Analysis/5. 5. Data Storytelling.mp4 54.2 MB
  • 15. SQL Basics Part 3/1. LIMIT & ORDER BY.mp4 54.1 MB
  • 32. Statistics for Data Science/10. Central Tendency & Measures of Data Center.mp4 53.5 MB
  • 39. Time Series Data Analysis using Python/3. Creating, Converting Datetimes from Strings & Manipulating Datetime Data.mp4 53.5 MB
  • 32. Statistics for Data Science/14. Computing Covariance.mp4 53.3 MB
  • 32. Statistics for Data Science/6. Data Visualization - Pie Chart.mp4 53.2 MB
  • 23. Advanced Other SQL Functions/1. GROUPING SETS(), ROLLUP(), CUBE().mp4 53.1 MB
  • 33. AB Testing Overview using Python/2. Designing an AB Test for Marketing Data with Segmentation in Python.mp4 52.5 MB
  • 36. Project 11 Google App Data Analysis/4. 4. Statistical Analysis and Hypothesis Testing.mp4 52.2 MB
  • 14. SQL Basics Part 2/1. Where Clause.mp4 52.1 MB
  • 09. Project 5 Face book Chat Bot/2. Facebook Developer App Creating And Downloading Ngrok.mp4 52.1 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/5. Introduction to Regression.mp4 51.9 MB
  • 08. Project 4 Twiter Chat Bot/1. Part 1.mp4 51.8 MB
  • 28. Data Visualization/4. Determining and Choosing the Appropriate Plot Type.mp4 51.7 MB
  • 30. Project 8 Data Visualization of the Scraped Data/1. Data Visualization of the Scraped Data.mp4 51.5 MB
  • 39. Time Series Data Analysis using Python/6. Changing Time Series Frequency By Up-Sampling & Interpolation.mp4 51.0 MB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/4. Creating Forecasting Models.mp4 50.7 MB
  • 39. Time Series Data Analysis using Python/7. Changing Time Series Frequency & Down-Sampling.mp4 50.0 MB
  • 01. Python Introduction/4. Python2 VS Python3.mp4 48.5 MB
  • 01. Python Introduction/5. Understanding Data Types in Python.mp4 48.5 MB
  • 28. Data Visualization/2. Histograms – a Powerful Tool for Visualizing the Distribution of Data.mp4 48.3 MB
  • 39. Time Series Data Analysis using Python/9. Stock Price Series Analysis with Lags.mp4 47.8 MB
  • 33. AB Testing Overview using Python/1. Designing an AB Test for Marketing Data in Python.mp4 47.0 MB
  • 36. Project 11 Google App Data Analysis/2. 2. Data Cleaning and Preprocessing of Google App Store Data.mp4 46.9 MB
  • 32. Statistics for Data Science/11. Spread & Measures of Data Spread.mp4 45.7 MB
  • 21. Advanced PostgreSQL Math & Window functions/4. Window Functions OVER() + LEAD().mp4 45.7 MB
  • 38. Project 13 Tabular Playground Series Analysis/3. 3. Train-Test Split and Model Selection.mp4 45.0 MB
  • 10. Numpy Python Library/3. 3. Creating Numpy nd arrays using Numpy functions.mp4 44.3 MB
  • 10. Numpy Python Library/2. 2. Numpy.shape & Numpy.size.mp4 44.0 MB
  • 28. Data Visualization/3. Visualizing Trends using a Real-World Financial Data.mp4 43.8 MB
  • 32. Statistics for Data Science/23. Handling Multicollinearity in Multiple Linear Regression with statsmodels VIF.mp4 43.8 MB
  • 19. Intermediate SQL Joins/2. Joins Types Overview.mp4 43.6 MB
  • 14. SQL Basics Part 2/5. (Where Clause + BETWEEN & IN) & AS.mp4 43.6 MB
  • 10. Numpy Python Library/7. 7. Numpy Reshape and Transposing.mp4 43.3 MB
  • 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/2. Visualizing Data.mp4 43.2 MB
  • 29. Project 7 Data Analysis using SQL + Python/2. Scrape a Table inside a Webpage using Pandas and LXML Python Modules!.mp4 43.1 MB
  • 22. Advanced PostgreSQL String Functions/3. PostgreSQL LEFT(), RIGHT(), BTRIM() & SPLIT_PART() Functions.mp4 42.1 MB
  • 33. AB Testing Overview using Python/3. Calculating Lift & Significance Testing for Marketing Data in Python.mp4 41.9 MB
  • 32. Statistics for Data Science/18. Hypothesis Testing Essentials - One-sample and two-sample t-tests.mp4 41.8 MB
  • 21. Advanced PostgreSQL Math & Window functions/1. Math Functions.mp4 41.8 MB
  • 03. OOP in Python/9. Learning How to use Build in Decorators.mp4 41.0 MB
  • 10. Numpy Python Library/5. 5. Numpy Calculations and Operators.mp4 40.8 MB
  • 20. Intermediate Sub-queries & Common Table Expression in SQL/1. Sub-queries.mp4 40.7 MB
  • 18. SQL Time Data management/3. DATE_TRUNC() & DATE_PART().mp4 40.6 MB
  • 38. Project 13 Tabular Playground Series Analysis/1. 1. Reading and Preprocessing Data.mp4 40.2 MB
  • 19. Intermediate SQL Joins/6. FULL OUTER JOIN.mp4 39.8 MB
  • 22. Advanced PostgreSQL String Functions/5. PostgreSQL LOWER(), UPPER() & INITCAP() Functions.mp4 39.8 MB
  • 32. Statistics for Data Science/8. Data Visualization - Box Plot.mp4 39.5 MB
  • 41. Using ChatGPT and Generative AI for Data/1. Generative AI for Data Analysis.mp4 38.7 MB
  • 32. Statistics for Data Science/17. Hypothesis Testing Essentials - Concept of Hypothesis Testing.mp4 38.5 MB
  • 13. SQL Basics Part 1/1. Select Statement.mp4 38.5 MB
  • 19. Intermediate SQL Joins/8. UNION, UNION ALL, INTERSECT & EXCEPT.mp4 38.1 MB
  • 23. Advanced Other SQL Functions/2. SELECT Statement + INTO & SELECT Statement + INTO + IN.mp4 37.5 MB
  • 22. Advanced PostgreSQL String Functions/2. STRPOS() & REPLACE() in PostgreSQL.mp4 37.0 MB
  • 06. Project 2 in Python/3. Project Solution Part 1.mp4 36.2 MB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/1. Introduction.mp4 35.4 MB
  • 25. How to Use Python + SQL/3. Querying Using Python Panadas.mp4 35.2 MB
  • 22. Advanced PostgreSQL String Functions/4. PostgreSQL CONCAT Function.mp4 35.1 MB
  • 05. Project 1 in Python/1. Project Walk through.mp4 34.5 MB
  • 14. SQL Basics Part 2/2. Operators used with Where Clause.mp4 33.5 MB
  • 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/1. Pandas methods and functions.mp4 33.5 MB
  • 38. Project 13 Tabular Playground Series Analysis/4. 4. Model Training with XGBoost.mp4 33.3 MB
  • 24. Data Analysis Process Overview/1. Data Analysis Process Overview.mp4 33.1 MB
  • 09. Project 5 Face book Chat Bot/3. Facebook Chat App & Preset Messaging.mp4 32.7 MB
  • 15. SQL Basics Part 3/5. CAST.mp4 32.2 MB
  • 21. Advanced PostgreSQL Math & Window functions/5. Window Functions OVER() + LAG().mp4 32.1 MB
  • 18. SQL Time Data management/1. Overview of Time Functions in PostgreSQL.mp4 32.0 MB
  • 38. Project 13 Tabular Playground Series Analysis/2. 2. Data Transformation and Visualization.mp4 32.0 MB
  • 02. Python Basics/9. Dictionaries.mp4 31.8 MB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/3. Visualizing Time Series Data.mp4 31.7 MB
  • 32. Statistics for Data Science/3. Data visulaization Overview.mp4 31.6 MB
  • 02. Python Basics/13. While Loop Part 1.mp4 31.5 MB
  • 13. SQL Basics Part 1/3. Select Statement For all Airlines Database Tables.mp4 31.4 MB
  • 03. OOP in Python/4. Learning about Inheritance.mp4 31.3 MB
  • 10. Numpy Python Library/8. 8. Numpy Comparing.mp4 31.1 MB
  • 03. OOP in Python/1. Creating Simple Class.mp4 30.8 MB
  • 10. Numpy Python Library/9. 9. Numpy Images processing.mp4 30.7 MB
  • 01. Python Introduction/6. Understanding Python Data Structure Wrap up.mp4 30.6 MB
  • 17. SQL Conditional/1. CASE Clause.mp4 30.6 MB
  • 28. Data Visualization/1. Introduction to Data Visualization in Python.mp4 30.0 MB
  • 37. Project 12 Using Pandas + Automation to Manage a Business Email List/1. Part 1.mp4 29.9 MB
  • 15. SQL Basics Part 3/3. NOT IN.mp4 29.9 MB
  • 09. Project 5 Face book Chat Bot/1. Python Flask Library Overview.mp4 29.8 MB
  • 19. Intermediate SQL Joins/3. LEFT OUTER JOIN.mp4 29.1 MB
  • 03. OOP in Python/8. Learning about Decorators.mp4 28.8 MB
  • 02. Python Basics/12. For Loop Part 2.mp4 28.5 MB
  • 07. Project 3 in Python/2. Project Helpful Notes.mp4 28.3 MB
  • 23. Advanced Other SQL Functions/3. VIEW().mp4 28.2 MB
  • 02. Python Basics/8. Sets.mp4 28.2 MB
  • 10. Numpy Python Library/4. 4. Numpy.unique( ) & Array slicing.mp4 27.8 MB
  • 02. Python Basics/6. Lists.mp4 27.7 MB
  • 32. Statistics for Data Science/9. Data Visualization - Distribution of Data.mp4 27.4 MB
  • 16. SQL Aggregations/1. COUNT( ) Function, CREATE TABLE & INSERT INTO TABLE.mp4 27.2 MB
  • 21. Advanced PostgreSQL Math & Window functions/2. Window Functions OVER().mp4 26.9 MB
  • 18. SQL Time Data management/2. TIMESTAMP EXTRACT().mp4 26.6 MB
  • 14. SQL Basics Part 2/4. Where Clause + LIKE.mp4 26.1 MB
  • 25. How to Use Python + SQL/2. Fetchmany and Fetchall.mp4 25.8 MB
  • 17. SQL Conditional/2. NULLIF().mp4 25.6 MB
  • 17. SQL Conditional/3. COALESCE() Function in SQL.mp4 25.4 MB
  • 10. Numpy Python Library/6. 6. Numpy Aggregations.mp4 25.1 MB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/2. Data Preprocessing and Cleaning.mp4 24.5 MB
  • 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/4. Sampling Error.mp4 24.2 MB
  • 25. How to Use Python + SQL/1. Installing Jupyter Lab & Pandas.mp4 24.1 MB
  • 03. OOP in Python/6. Learning also about Multiple Inheritance.mp4 23.9 MB
  • 19. Intermediate SQL Joins/4. Deep understanding of LEFT JOIN.mp4 23.8 MB
  • 15. SQL Basics Part 3/2. FETCH vs LIMIT.mp4 23.6 MB
  • 11. SQL Introduction/2. PostgreSQL Downloading & Installing.mp4 23.5 MB
  • 06. Project 2 in Python/1. Project Walk through.mp4 23.5 MB
  • 32. Statistics for Data Science/4. Data Visualization - Bar Chart.mp4 23.2 MB
  • 15. SQL Basics Part 3/4. ISNULL & IS NOT NULL.mp4 23.1 MB
  • 19. Intermediate SQL Joins/10. USING.mp4 23.0 MB
  • 07. Project 3 in Python/1. Project Walk Through.mp4 22.8 MB
  • 02. Python Basics/14. While Loop Part 2.mp4 22.2 MB
  • 03. OOP in Python/3. Learning How to creating Dunder Methods.mp4 21.7 MB
  • 19. Intermediate SQL Joins/5. RIGHT OUTER JOIN.mp4 21.6 MB
  • 38. Project 13 Tabular Playground Series Analysis/5. 5. Making Predictions and Submission.mp4 21.1 MB
  • 32. Statistics for Data Science/2. What are data, graphs and charts.mp4 20.8 MB
  • 18. SQL Time Data management/4. Double Column + DATE IN PostgreSQL & CURRENT_DATE & now( ).mp4 20.5 MB
  • 22. Advanced PostgreSQL String Functions/1. PostgreSQL POSITION Function.mp4 20.3 MB
  • 12. Airlines Database Overview/2. SQL Database Overview Part 2.mp4 19.7 MB
  • 02. Python Basics/21. Functions Tips & Tricks Functions Caching & Memoization.mp4 19.7 MB
  • 02. Python Basics/17. Functions in Python and Arguments.mp4 19.6 MB
  • 19. Intermediate SQL Joins/7. CROSS JOIN.mp4 19.4 MB
  • 13. SQL Basics Part 1/2. Select Challenge Solution.mp4 19.3 MB
  • 19. Intermediate SQL Joins/9. SELF JOIN.mp4 19.0 MB
  • 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/3. Pandas Data Analysis.mp4 18.8 MB
  • 02. Python Basics/10. Control Flow IF.mp4 18.8 MB
  • 03. OOP in Python/7. Knowing What is the Overriding.mp4 18.8 MB
  • 02. Python Basics/1. String Functions in Python Part 1.mp4 18.6 MB
  • 14. SQL Basics Part 2/3. Where Clause + AND & Where Clause + OR.mp4 18.0 MB
  • 01. Python Introduction/3. Introduction to Python.mp4 17.8 MB
  • 02. Python Basics/15. While Loop Best Practices.mp4 16.5 MB
  • 01. Python Introduction/2. Environment Preparing for Python.mp4 15.9 MB
  • 02. Python Basics/16. Introduction to Functions in Python.mp4 15.7 MB
  • 19. Intermediate SQL Joins/11. NATURAL JOIN.mp4 15.6 MB
  • 16. SQL Aggregations/4. GROUP BY & HAVING.mp4 15.2 MB
  • 32. Statistics for Data Science/5. Data Visualization - Line Chart.mp4 15.1 MB
  • 03. OOP in Python/5. Knowing What is the Encapsulation.mp4 15.1 MB
  • 32. Statistics for Data Science/1. Introduction.mp4 14.9 MB
  • 02. Python Basics/11. For Loop Part 1.mp4 14.1 MB
  • 02. Python Basics/3. String Functions in Python Part 3.mp4 12.8 MB
  • 13. SQL Basics Part 1/4. Distinct.mp4 12.2 MB
  • 12. Airlines Database Overview/3. SQL Data Types.mp4 11.6 MB
  • 11. SQL Introduction/4. Restoring Database.mp4 11.5 MB
  • 16. SQL Aggregations/3. MIN( ) , MAX( ) & AVG( ) Functions.mp4 11.4 MB
  • 02. Python Basics/20. Functions Tips & Tricks Lambda Functions.mp4 10.7 MB
  • 02. Python Basics/18. Function Tips & Tricks Recursion.mp4 10.4 MB
  • 02. Python Basics/22. Error Handling in Python.mp4 10.1 MB
  • 02. Python Basics/19. Function Tips & Tricks Functions Decorators and Higher Order Functions.mp4 10.1 MB
  • 02. Python Basics/7. Tuples.mp4 9.1 MB
  • 12. Airlines Database Overview/1. SQL Database Overview Part 1.mp4 9.1 MB
  • 02. Python Basics/2. String Functions in Python Part 2.mp4 8.5 MB
  • 10. Numpy Python Library/1. 1. Numpy Intro.mp4 8.2 MB
  • 11. SQL Introduction/3. Creating Database.mp4 7.0 MB
  • 02. Python Basics/5. String Functions in Python Part 5.mp4 6.8 MB
  • 16. SQL Aggregations/2. SUM( ) Function.mp4 6.5 MB
  • 01. Python Introduction/1. Introduction.mp4 5.5 MB
  • 02. Python Basics/4. String Functions in Python Part 4.mp4 4.7 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/34. ML_Course.ipynb 2.8 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/2. movies_data.rar 2.2 MB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/2. healthcare-dataset-stroke-data.csv 317.0 kB
  • 02. Python Basics/24. Python Basics Warp Up.pdf 117.0 kB
  • 28. Data Visualization/3. financial_data.csv 90.5 kB
  • 39. Time Series Data Analysis using Python/1. financial_data.csv 90.5 kB
  • 41. Using ChatGPT and Generative AI for Data/3. Using ChatGPT for Data..pdf 51.8 kB
  • 32. Statistics for Data Science/21. Linear Regression OLS model, Residual Analysis,Coefficients, P-Values, R-squared.vtt 38.1 kB
  • 02. Python Basics/24. Python Basics Warp Up.html 32.3 kB
  • 32. Statistics for Data Science/7. Data Visualization - Histogram.vtt 20.4 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/25. Multi-class Logistic Regression.vtt 19.3 kB
  • 36. Project 11 Google App Data Analysis/7.1 Assignment-The Assignment for Project 10 Google App Store Data EDA.html 19.2 kB
  • 39. Time Series Data Analysis using Python/1. benchmark_data.csv 17.9 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/23. Logistic Regression Regularization & Identifying Negative Reviews.vtt 17.4 kB
  • 42. Bonus/1. Thanks.html 17.3 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/22. Loss Function Diagrams.vtt 17.2 kB
  • 37. Project 12 Using Pandas + Automation to Manage a Business Email List/3. Part 3.vtt 17.1 kB
  • 32. Statistics for Data Science/20. Hypothesis Testing Essentials - Chi-Square test for independence.vtt 16.9 kB
  • 32. Statistics for Data Science/12. Summary Statistics & Outliers.vtt 16.8 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/33. Dimension Reduction with PCA and Non-negative Matrix Factorization (NMF).vtt 16.7 kB
  • 36. Project 11 Google App Data Analysis/7.1 Assignment-The+Practical+Assignment+for+The+Project+Google+App+Store+Data+EDA+Guided+Notebook.ipynb 15.9 kB
  • 36. Project 11 Google App Data Analysis/7.1 Solution-The+Practical+Assignment+for+The+Project+Google+App+Store+Data+EDA+Guided+Notebook.ipynb 15.9 kB
  • 32. Statistics for Data Science/22. Multiple Linear Regression with statsmodels - Expanding to Multiple Predictors.vtt 15.8 kB
  • 32. Statistics for Data Science/16. Exploring Datasets with Descriptive Statistics.vtt 15.5 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/28. Transforming Features for Better Clustering & Clustering Stocks Using KMeans.vtt 14.4 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/17. Comparing Models.vtt 14.0 kB
  • 37. Project 12 Using Pandas + Automation to Manage a Business Email List/2. Part 2.vtt 13.3 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/15. Centering and Scaling Techniques in ML Supervised Learning Algorithms.vtt 13.2 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/2. boston_housing.xls 12.4 kB
  • 36. Project 11 Google App Data Analysis/3. 3. Data Visualization Techniques.vtt 12.4 kB
  • 29. Project 7 Data Analysis using SQL + Python/1. How to Scrape a website.vtt 12.2 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/16. Evaluating Multiple Models with Examples.vtt 12.1 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/11. Logistic Regression and the ROC Curve.vtt 11.9 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/24. Logistic Regression and Probabilities.vtt 11.7 kB
  • 32. Statistics for Data Science/19. Hypothesis Testing Essentials - Paired t-test.vtt 11.6 kB
  • 32. Statistics for Data Science/13. Correlations & Heatmaps.vtt 11.6 kB
  • 35. Project 10 Building Recommender System using NMF/1. Learn How to Building Recommender System using NMF!.vtt 11.5 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/26. Unsupervised Learning The Fundamentals of Clustering.vtt 11.4 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/18. Logistic Regression and Support Vector Machines for Text Classification.vtt 11.2 kB
  • 32. Statistics for Data Science/15. Introduction to Statsmodels.vtt 11.2 kB
  • 32. Statistics for Data Science/6. Data Visualization - Pie Chart.vtt 11.1 kB
  • 32. Statistics for Data Science/8. Data Visualization - Box Plot.vtt 11.1 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/19. Linear Classifier & Decision Boundaries.vtt 11.0 kB
  • 32. Statistics for Data Science/14. Computing Covariance.vtt 10.7 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/13. Preprocessing Data and Creating Dummy Variable for Categorical Data Variables.vtt 10.6 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/31. Visualizing The PCA Transformation & Calculating Cumulative Explained Variance.vtt 10.3 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/14. Handling Missing Data And Creating The ML Pipeline.vtt 10.2 kB
  • 07. Project 3 in Python/3. Project Solution.vtt 10.2 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/21. What is The Loss Function.vtt 10.2 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/12. Hyperparameter Tuning with GridSearchCV & RandomizedSearchCV.vtt 10.0 kB
  • 08. Project 4 Twiter Chat Bot/3. Part 3.vtt 9.6 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/30. t-SNE for 2-dimensional maps.vtt 9.6 kB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/4. Creating Forecasting Models.vtt 9.5 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/27. Clustering Evaluation & Optimization.vtt 9.4 kB
  • 41. Using ChatGPT and Generative AI for Data/3. GEN AI Most Used Prompts for Data Analyst & Data Scientists.html 9.4 kB
  • 19. Intermediate SQL Joins/2. Joins Types Overview.vtt 9.3 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/29. Hierarchical Clustering & Visualizing Hierarchies.vtt 9.3 kB
  • 32. Statistics for Data Science/11. Spread & Measures of Data Spread.vtt 9.3 kB
  • 03. OOP in Python/2. Overviewing Constructor.vtt 9.1 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/8. Regularized Regression.vtt 9.0 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/4. Measuring Model Performance.vtt 9.0 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/3. The Supervised Learning Workflow.vtt 8.9 kB
  • 41. Using ChatGPT and Generative AI for Data/2. Generative AI for Data Science.vtt 8.8 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/20. Linear Classifiers & The Coefficients.vtt 8.7 kB
  • 32. Statistics for Data Science/10. Central Tendency & Measures of Data Center.vtt 8.7 kB
  • 01. Python Introduction/5. Understanding Data Types in Python.vtt 8.6 kB
  • 28. Data Visualization/4. Determining and Choosing the Appropriate Plot Type.vtt 8.6 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/1. Introduction to Machine learning with scikit-learn.vtt 8.5 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/9. The k-Nearest Neighbors Classification Supervised ML Learning Algorithms.vtt 8.4 kB
  • 28. Data Visualization/2. Histograms – a Powerful Tool for Visualizing the Distribution of Data.vtt 8.3 kB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/6. Filtering Data.vtt 8.2 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/32. Dimension Reduction with PCA.vtt 8.1 kB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/3. Data aggregation and summarization.vtt 8.1 kB
  • 20. Intermediate Sub-queries & Common Table Expression in SQL/2. SQL Sub-query + EXISTS, ANY OR ALL.vtt 8.0 kB
  • 02. Python Basics/8. Sets.vtt 7.9 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/7. Cross-validation for R-squared & Analyzing Cross-Validation Metrics.vtt 7.9 kB
  • 10. Numpy Python Library/2. 2. Numpy.shape & Numpy.size.vtt 7.8 kB
  • 32. Statistics for Data Science/17. Hypothesis Testing Essentials - Concept of Hypothesis Testing.vtt 7.7 kB
  • 36. Project 11 Google App Data Analysis/1. 1. Visual Exploring of Google App Store Data.vtt 7.7 kB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/5. Predicting Future Bitcoin Prices.vtt 7.6 kB
  • 10. Numpy Python Library/7. 7. Numpy Reshape and Transposing.vtt 7.6 kB
  • 32. Statistics for Data Science/4. Data Visualization - Bar Chart.vtt 7.6 kB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/5. Essential Techniques for Peeking at & Describing our Data in Python.vtt 7.6 kB
  • 32. Statistics for Data Science/9. Data Visualization - Distribution of Data.vtt 7.6 kB
  • 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/2. Visualizing Data.vtt 7.6 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/10. How Good is your Model and How to use Random Forest Classifier.vtt 7.5 kB
  • 20. Intermediate Sub-queries & Common Table Expression in SQL/3. Common Table Expression.vtt 7.5 kB
  • 06. Project 2 in Python/4. Project Solution Part 2.vtt 7.4 kB
  • 02. Python Basics/13. While Loop Part 1.vtt 7.4 kB
  • 09. Project 5 Face book Chat Bot/4. Hooking and Runnig The FB ChatBot App Using Ngrok.vtt 7.4 kB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/4. Create New Columns, Drop Unnecessary Ones, and Perform Various Data Manipulation.vtt 7.4 kB
  • 02. Python Basics/12. For Loop Part 2.vtt 7.3 kB
  • 38. Project 13 Tabular Playground Series Analysis/3. 3. Train-Test Split and Model Selection.vtt 7.2 kB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/1. Data manipulation using DataFrames.vtt 7.2 kB
  • 36. Project 11 Google App Data Analysis/5. 5. Data Storytelling.vtt 7.0 kB
  • 33. AB Testing Overview using Python/2. Designing an AB Test for Marketing Data with Segmentation in Python.vtt 7.0 kB
  • 27. Accessing, Manipulating & Filtering DataFrames Lectures/2. Accessing Data Using DataFrames.vtt 6.9 kB
  • 32. Statistics for Data Science/18. Hypothesis Testing Essentials - One-sample and two-sample t-tests.vtt 6.9 kB
  • 15. SQL Basics Part 3/1. LIMIT & ORDER BY.vtt 6.9 kB
  • 10. Numpy Python Library/5. 5. Numpy Calculations and Operators.vtt 6.8 kB
  • 39. Time Series Data Analysis using Python/2. Introduction to Time Series Analysis.vtt 6.7 kB
  • 02. Python Basics/9. Dictionaries.vtt 6.7 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/6. The Basics of Linear regression & Regression Performance.vtt 6.7 kB
  • 25. How to Use Python + SQL/4. Using Pandas Library to load PostgreSQL Data Output file.vtt 6.6 kB
  • 18. SQL Time Data management/3. DATE_TRUNC() & DATE_PART().vtt 6.6 kB
  • 32. Statistics for Data Science/3. Data visulaization Overview.vtt 6.6 kB
  • 01. Python Introduction/6. Understanding Python Data Structure Wrap up.vtt 6.5 kB
  • 10. Numpy Python Library/3. 3. Creating Numpy nd arrays using Numpy functions.vtt 6.5 kB
  • 31. Project 9 Save The Scraped Data to a Database/1. Save The Scraped Data to a newly created Database.vtt 6.4 kB
  • 32. Statistics for Data Science/23. Handling Multicollinearity in Multiple Linear Regression with statsmodels VIF.vtt 6.3 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/5. Introduction to Regression.vtt 6.3 kB
  • 09. Project 5 Face book Chat Bot/3. Facebook Chat App & Preset Messaging.vtt 6.3 kB
  • 08. Project 4 Twiter Chat Bot/2. Part 2.vtt 6.2 kB
  • 14. SQL Basics Part 2/1. Where Clause.vtt 6.1 kB
  • 02. Python Basics/6. Lists.vtt 6.1 kB
  • 39. Time Series Data Analysis using Python/8. Window Functions in Time Series Analysis.vtt 6.1 kB
  • 02. Python Basics/10. Control Flow IF.vtt 6.0 kB
  • 05. Project 1 in Python/3. Project Solution.vtt 6.0 kB
  • 10. Numpy Python Library/8. 8. Numpy Comparing.vtt 5.9 kB
  • 36. Project 11 Google App Data Analysis/2. 2. Data Cleaning and Preprocessing of Google App Store Data.vtt 5.9 kB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/1. Introduction.vtt 5.9 kB
  • 39. Time Series Data Analysis using Python/4. Accessing Datetime Attributes, Comparing Datetimes, & Making Relative Datetime.vtt 5.9 kB
  • 33. AB Testing Overview using Python/3. Calculating Lift & Significance Testing for Marketing Data in Python.vtt 5.9 kB
  • 09. Project 5 Face book Chat Bot/2. Facebook Developer App Creating And Downloading Ngrok.vtt 5.8 kB
  • 33. AB Testing Overview using Python/1. Designing an AB Test for Marketing Data in Python.vtt 5.8 kB
  • 04. Lots of Python Challenges with Answers/3.1 Try it your self at Udemy coding Environment !.html 5.8 kB
  • 19. Intermediate SQL Joins/1. INNER JOIN.vtt 5.8 kB
  • 02. Python Basics/23. Files and Modules in Python.vtt 5.7 kB
  • 01. Python Introduction/3. Introduction to Python.vtt 5.6 kB
  • 38. Project 13 Tabular Playground Series Analysis/1. 1. Reading and Preprocessing Data.vtt 5.6 kB
  • 28. Data Visualization/3. Visualizing Trends using a Real-World Financial Data.vtt 5.6 kB
  • 39. Time Series Data Analysis using Python/5. Understanding Time Series Growth Rates & Comparing Stock Prices with a Benchmark.vtt 5.5 kB
  • 38. Project 13 Tabular Playground Series Analysis/4. 4. Model Training with XGBoost.vtt 5.5 kB
  • 30. Project 8 Data Visualization of the Scraped Data/1. Data Visualization of the Scraped Data.vtt 5.4 kB
  • 36. Project 11 Google App Data Analysis/4. 4. Statistical Analysis and Hypothesis Testing.vtt 5.4 kB
  • 34. Machine Learning Mastery From Basics to Advanced Techniques/2. fish.csv 5.3 kB
  • 41. Using ChatGPT and Generative AI for Data/1. Generative AI for Data Analysis.vtt 5.3 kB
  • 13. SQL Basics Part 1/1. Select Statement.vtt 5.3 kB
  • 19. Intermediate SQL Joins/8. UNION, UNION ALL, INTERSECT & EXCEPT.vtt 5.2 kB
  • 20. Intermediate Sub-queries & Common Table Expression in SQL/1. Sub-queries.vtt 5.2 kB
  • 39. Time Series Data Analysis using Python/3. Creating, Converting Datetimes from Strings & Manipulating Datetime Data.vtt 5.2 kB
  • 36. Project 11 Google App Data Analysis/6. 6. Conclusion.vtt 5.2 kB
  • 32. Statistics for Data Science/2. What are data, graphs and charts.vtt 5.1 kB
  • 28. Data Visualization/1. Introduction to Data Visualization in Python.vtt 5.0 kB
  • 02. Python Basics/14. While Loop Part 2.vtt 5.0 kB
  • 03. OOP in Python/9. Learning How to use Build in Decorators.vtt 5.0 kB
  • 10. Numpy Python Library/6. 6. Numpy Aggregations.vtt 4.9 kB
  • 38. Project 13 Tabular Playground Series Analysis/2. 2. Data Transformation and Visualization.vtt 4.8 kB
  • 32. Statistics for Data Science/5. Data Visualization - Line Chart.vtt 4.8 kB
  • 21. Advanced PostgreSQL Math & Window functions/4. Window Functions OVER() + LEAD().vtt 4.8 kB
  • 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/1. Pandas methods and functions.vtt 4.8 kB
  • 25. How to Use Python + SQL/3. Querying Using Python Panadas.vtt 4.8 kB
  • 19. Intermediate SQL Joins/6. FULL OUTER JOIN.vtt 4.8 kB
  • 22. Advanced PostgreSQL String Functions/3. PostgreSQL LEFT(), RIGHT(), BTRIM() & SPLIT_PART() Functions.vtt 4.8 kB
  • 04. Lots of Python Challenges with Answers/15.5 Try it your self at Udemy Coding Environment !.html 4.7 kB
  • 14. SQL Basics Part 2/5. (Where Clause + BETWEEN & IN) & AS.vtt 4.7 kB
  • 14. SQL Basics Part 2/4. Where Clause + LIKE.vtt 4.7 kB
  • 04. Lots of Python Challenges with Answers/12.4 Try it your self at Udemy Coding Environment !.html 4.7 kB
  • 09. Project 5 Face book Chat Bot/1. Python Flask Library Overview.vtt 4.6 kB
  • 11. SQL Introduction/1. Introduction.vtt 4.6 kB
  • 03. OOP in Python/4. Learning about Inheritance.vtt 4.5 kB
  • 04. Lots of Python Challenges with Answers/6.2 Try it your self at Udemy Coding Environment !.html 4.5 kB
  • 21. Advanced PostgreSQL Math & Window functions/3. Window Functions RANK() + OVER() & NTILE() + OVER().vtt 4.4 kB
  • 03. OOP in Python/1. Creating Simple Class.vtt 4.4 kB
  • 04. Lots of Python Challenges with Answers/9.3 Try it your self at Udemy Coding Environment !.html 4.4 kB
  • 05. Project 1 in Python/2. Project Helpful Notes.vtt 4.3 kB
  • 04. Lots of Python Challenges with Answers/18.6 Try it your self at Udemy Coding Environment !.html 4.3 kB
  • 23. Advanced Other SQL Functions/1. GROUPING SETS(), ROLLUP(), CUBE().vtt 4.3 kB
  • 04. Lots of Python Challenges with Answers/21.7 Try it your self at Udemy Coding Environment !.html 4.3 kB
  • 02. Python Basics/21. Functions Tips & Tricks Functions Caching & Memoization.vtt 4.2 kB
  • 01. Python Introduction/2. Environment Preparing for Python.vtt 4.2 kB
  • 10. Numpy Python Library/9. 9. Numpy Images processing.vtt 4.2 kB
  • 16. SQL Aggregations/1. COUNT( ) Function, CREATE TABLE & INSERT INTO TABLE.vtt 4.2 kB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/3. Visualizing Time Series Data.vtt 4.2 kB
  • 03. OOP in Python/8. Learning about Decorators.vtt 4.2 kB
  • 39. Time Series Data Analysis using Python/7. Changing Time Series Frequency & Down-Sampling.vtt 4.1 kB
  • 08. Project 4 Twiter Chat Bot/1. Part 1.vtt 4.1 kB
  • 39. Time Series Data Analysis using Python/9. Stock Price Series Analysis with Lags.vtt 4.0 kB
  • 32. Statistics for Data Science/1. Introduction.vtt 4.0 kB
  • 02. Python Basics/11. For Loop Part 1.vtt 4.0 kB
  • 12. Airlines Database Overview/2. SQL Database Overview Part 2.vtt 4.0 kB
  • 02. Python Basics/15. While Loop Best Practices.vtt 4.0 kB
  • 14. SQL Basics Part 2/2. Operators used with Where Clause.vtt 4.0 kB
  • 39. Time Series Data Analysis using Python/6. Changing Time Series Frequency By Up-Sampling & Interpolation.vtt 4.0 kB
  • 23. Advanced Other SQL Functions/3. VIEW().vtt 3.9 kB
  • 29. Project 7 Data Analysis using SQL + Python/2. Scrape a Table inside a Webpage using Pandas and LXML Python Modules!.vtt 3.8 kB
  • 06. Project 2 in Python/1. Project Walk through.vtt 3.8 kB
  • 06. Project 2 in Python/2. Project Helful Notes.vtt 3.8 kB
  • 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/3. Pandas Data Analysis.vtt 3.8 kB
  • 15. SQL Basics Part 3/5. CAST.vtt 3.8 kB
  • 26. Project 6 Using Python Pandas in Data Analysis of PostgreSQL Data output/4. Sampling Error.vtt 3.7 kB
  • 40. Project 14 Time Series Analysis of Betcoin Historical Data dataset/2. Data Preprocessing and Cleaning.vtt 3.7 kB
  • 21. Advanced PostgreSQL Math & Window functions/1. Math Functions.vtt 3.7 kB
  • 01. Python Introduction/4. Python2 VS Python3.vtt 3.6 kB
  • 21. Advanced PostgreSQL Math & Window functions/5. Window Functions OVER() + LAG().vtt 3.6 kB
  • 17. SQL Conditional/1. CASE Clause.vtt 3.6 kB
  • 19. Intermediate SQL Joins/3. LEFT OUTER JOIN.vtt 3.5 kB
  • 22. Advanced PostgreSQL String Functions/2. STRPOS() & REPLACE() in PostgreSQL.vtt 3.5 kB
  • 06. Project 2 in Python/3. Project Solution Part 1.vtt 3.5 kB
  • 15. SQL Basics Part 3/3. NOT IN.vtt 3.5 kB
  • 23. Advanced Other SQL Functions/2. SELECT Statement + INTO & SELECT Statement + INTO + IN.vtt 3.5 kB
  • 17. SQL Conditional/2. NULLIF().vtt 3.5 kB
  • 03. OOP in Python/3. Learning How to creating Dunder Methods.vtt 3.4 kB
  • 04. Lots of Python Challenges with Answers/206. Coding Exercise (99) Solution.html 3.4 kB
  • 02. Python Basics/16. Introduction to Functions in Python.vtt 3.4 kB
  • 02. Python Basics/7. Tuples.vtt 3.4 kB
  • 10. Numpy Python Library/4. 4. Numpy.unique( ) & Array slicing.vtt 3.4 kB
  • 03. OOP in Python/6. Learning also about Multiple Inheritance.vtt 3.3 kB
  • 02. Python Basics/19. Function Tips & Tricks Functions Decorators and Higher Order Functions.vtt 3.3 kB
  • 02. Python Basics/3. String Functions in Python Part 3.vtt 3.3 kB
  • 02. Python Basics/17. Functions in Python and Arguments.vtt 3.1 kB
  • 02. Python Basics/18. Function Tips & Tricks Recursion.vtt 3.1 kB
  • 24. Data Analysis Process Overview/1. Data Analysis Process Overview.vtt 3.1 kB
  • 18. SQL Time Data management/4. Double Column + DATE IN PostgreSQL & CURRENT_DATE & now( ).vtt 3.1 kB
  • 22. Advanced PostgreSQL String Functions/5. PostgreSQL LOWER(), UPPER() & INITCAP() Functions.vtt 3.0 kB
  • 14. SQL Basics Part 2/3. Where Clause + AND & Where Clause + OR.vtt 3.0 kB
  • 05. Project 1 in Python/1. Project Walk through.vtt 2.9 kB
  • 38. Project 13 Tabular Playground Series Analysis/5. 5. Making Predictions and Submission.vtt 2.9 kB
  • 22. Advanced PostgreSQL String Functions/4. PostgreSQL CONCAT Function.vtt 2.9 kB
  • 19. Intermediate SQL Joins/4. Deep understanding of LEFT JOIN.vtt 2.9 kB
  • 03. OOP in Python/7. Knowing What is the Overriding.vtt 2.8 kB
  • 19. Intermediate SQL Joins/5. RIGHT OUTER JOIN.vtt 2.8 kB
  • 02. Python Basics/20. Functions Tips & Tricks Lambda Functions.vtt 2.7 kB
  • 21. Advanced PostgreSQL Math & Window functions/2. Window Functions OVER().vtt 2.6 kB
  • 22. Advanced PostgreSQL String Functions/1. PostgreSQL POSITION Function.vtt 2.6 kB
  • 18. SQL Time Data management/2. TIMESTAMP EXTRACT().vtt 2.6 kB
  • 37. Project 12 Using Pandas + Automation to Manage a Business Email List/1. Part 1.vtt 2.5 kB
  • 11. SQL Introduction/2. PostgreSQL Downloading & Installing.vtt 2.5 kB
  • 15. SQL Basics Part 3/2. FETCH vs LIMIT.vtt 2.4 kB
  • 15. SQL Basics Part 3/4. ISNULL & IS NOT NULL.vtt 2.4 kB
  • 12. Airlines Database Overview/1. SQL Database Overview Part 1.vtt 2.4 kB
  • 07. Project 3 in Python/2. Project Helpful Notes.vtt 2.4 kB
  • 13. SQL Basics Part 1/2. Select Challenge Solution.vtt 2.4 kB
  • 02. Python Basics/2. String Functions in Python Part 2.vtt 2.4 kB
  • 04. Lots of Python Challenges with Answers/197. Coding Exercise (95).html 2.3 kB
  • 25. How to Use Python + SQL/2. Fetchmany and Fetchall.vtt 2.3 kB
  • 19. Intermediate SQL Joins/9. SELF JOIN.vtt 2.3 kB
  • 02. Python Basics/5. String Functions in Python Part 5.vtt 2.3 kB
  • 03. OOP in Python/5. Knowing What is the Encapsulation.vtt 2.3 kB
  • 17. SQL Conditional/3. COALESCE() Function in SQL.vtt 2.3 kB
  • 01. Python Introduction/1. Introduction.vtt 2.2 kB
  • 19. Intermediate SQL Joins/7. CROSS JOIN.vtt 2.0 kB
  • 16. SQL Aggregations/3. MIN( ) , MAX( ) & AVG( ) Functions.vtt 2.0 kB
  • 19. Intermediate SQL Joins/10. USING.vtt 2.0 kB
  • 16. SQL Aggregations/4. GROUP BY & HAVING.vtt 1.9 kB
  • 07. Project 3 in Python/1. Project Walk Through.vtt 1.9 kB
  • 18. SQL Time Data management/1. Overview of Time Functions in PostgreSQL.vtt 1.9 kB
  • 02. Python Basics/4. String Functions in Python Part 4.vtt 1.9 kB
  • 04. Lots of Python Challenges with Answers/80. Coding Exercise (36) Solution.html 1.9 kB
  • 04. Lots of Python Challenges with Answers/79. Coding Exercise (36).html 1.8 kB
  • 13. SQL Basics Part 1/4. Distinct.vtt 1.7 kB
  • 19. Intermediate SQL Joins/11. NATURAL JOIN.vtt 1.7 kB
  • 13. SQL Basics Part 1/3. Select Statement For all Airlines Database Tables.vtt 1.5 kB
  • 25. How to Use Python + SQL/1. Installing Jupyter Lab & Pandas.vtt 1.4 kB
  • 10. Numpy Python Library/1. 1. Numpy Intro.vtt 1.4 kB
  • 04. Lots of Python Challenges with Answers/208. Coding Exercise (100) Solution.html 1.4 kB
  • 04. Lots of Python Challenges with Answers/131. Coding Exercise (62).html 1.3 kB
  • 04. Lots of Python Challenges with Answers/103. Coding Exercise (48).html 1.3 kB
  • 04. Lots of Python Challenges with Answers/178. Coding Exercise (85) Solution.html 1.3 kB
  • 04. Lots of Python Challenges with Answers/205. Coding Exercise (99).html 1.3 kB
  • 04. Lots of Python Challenges with Answers/105. Coding Exercise (49).html 1.2 kB
  • 11. SQL Introduction/3. Creating Database.vtt 1.2 kB
  • 04. Lots of Python Challenges with Answers/67. Coding Exercise (30).html 1.2 kB
  • 12. Airlines Database Overview/3. SQL Data Types.vtt 1.1 kB
  • 04. Lots of Python Challenges with Answers/194. Coding Exercise (93) Solution.html 1.1 kB
  • 11. SQL Introduction/4. Restoring Database.vtt 1.1 kB
  • 04. Lots of Python Challenges with Answers/106. Coding Exercise (49) Solution.html 1.1 kB
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