搜索
[FreeCourseSite.com] Udemy - The Business Intelligence Analyst Course 2022
磁力链接/BT种子名称
[FreeCourseSite.com] Udemy - The Business Intelligence Analyst Course 2022
磁力链接/BT种子简介
种子哈希：
8c08ac2413d54503ebfbe141c64efefc2e004194
文件大小：
10.96G
已经下载：
805
次
下载速度：
极快
收录时间：
2024-01-16
最近下载：
2024-11-05
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:8C08AC2413D54503EBFBE141C64EFEFC2E004194
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
pixar short
大神 约炮
尺度裸舞
高校更衣室
闷
upsm-109
欲听
纹身双马尾
taboo xxx
极品探花 ai
娱乐大师
altium_on-prem_enterprise_server_7.0.1.53.x64
ovg-177
托乳
发现哥哥
约个极品女神++++
困困兔
丽佳美
干烂了
tushy.24.09.08
主播修女
yuzukitty 足交
sdms-877
单男插入
sdde601
福利网 露出
会所+全套
tggp-87
ipx-206
中国妹妹高清
文件列表
11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.mp4
168.3 MB
17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.mp4
164.4 MB
5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.mp4
145.1 MB
3. Intro to Data and Data Science - The Relationship between Different Fields/1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.mp4
132.9 MB
5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.mp4
131.1 MB
45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.mp4
121.2 MB
5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.mp4
117.1 MB
2. Intro to Data and Data Science - The Different Data Science Fields/5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.mp4
114.3 MB
17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.mp4
112.9 MB
45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4
109.2 MB
6. Intro to Data and Data Science - Common Data Science Tools/1. Programming Languages & Software Employed in Data Science - All the Tools Needed.mp4
108.4 MB
17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.mp4
107.9 MB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4
107.6 MB
5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.mp4
104.1 MB
18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.mp4
103.9 MB
30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.mp4
97.2 MB
15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.mp4
96.6 MB
17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.mp4
94.9 MB
23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.mp4
94.2 MB
5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4
94.2 MB
4. Intro to Data and Data Science - What is the Purpose of each Data Science Field/1. Why do we Need each of these Disciplines.mp4
91.7 MB
30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.mp4
88.0 MB
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4
86.5 MB
2. Intro to Data and Data Science - The Different Data Science Fields/1. Why Are There So Many Business and Data Science Buzzwords.mp4
85.3 MB
47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.mp4
85.1 MB
13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4
82.0 MB
48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.mp4
80.0 MB
5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.mp4
79.1 MB
36. Part 6 Introduction to Programming with Python/3. Why use Python.mp4
78.7 MB
47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.mp4
78.2 MB
8. Intro to Data and Data Science - Dispelling Common Misconceptions/1. Dispelling common Misconceptions.mp4
76.3 MB
10. Statistics - Descriptive Statistics/1. Types of Data.mp4
76.0 MB
24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.mp4
75.1 MB
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4
73.9 MB
17. Part 3 Relational Database Theory & Introduction to SQL/1. Why use SQL.mp4
73.5 MB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4
72.7 MB
45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4
72.4 MB
2. Intro to Data and Data Science - The Different Data Science Fields/7. An Overview of our Data Science Infographic.mp4
71.1 MB
23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.mp4
70.3 MB
25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.mp4
67.6 MB
2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.mp4
67.6 MB
45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.mp4
66.8 MB
12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4
66.0 MB
47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.mp4
64.8 MB
47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.mp4
64.7 MB
12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4
64.7 MB
45. Part 7 Integration - Software Integration/7. Communication through Text Files.mp4
63.3 MB
26. SQL - The CASE Statement/1. The SQL CASE Statement.mp4
62.3 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.mp4
62.2 MB
27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.mp4
61.8 MB
48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.mp4
61.8 MB
36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.mp4
61.4 MB
48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.mp4
61.0 MB
9. Part 2 Statistics - Population and Sample/1. Population vs sample.mp4
60.9 MB
47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.mp4
60.1 MB
13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence interval clarifications.mp4
59.8 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.mp4
59.2 MB
35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp4
58.9 MB
15. Statistics - Hypothesis Testing/10. p-value.mp4
58.6 MB
1. Part 1 Introduction/1. What Does the Course Cover.mp4
57.8 MB
23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.mp4
57.5 MB
25. SQL - Stored Routines/13. SQL Variables.mp4
57.2 MB
10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4
57.0 MB
7. Intro to Data and Data Science - Data Science Career Paths/1. Data Science Job Positions What do they Involve and What to Look out for.mp4
57.0 MB
48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.mp4
57.0 MB
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.mp4
56.9 MB
21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.mp4
56.2 MB
2. Intro to Data and Data Science - The Different Data Science Fields/2. Analysis vs Analytics.mp4
56.1 MB
40. Python - Conditional Statements/4. Else if, for Brief – ELIF.mp4
56.0 MB
48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.mp4
55.0 MB
46. Integration - What is contained in this Course/1. Solving a Business Exercise with Python, SQL, and Tableau.mp4
54.9 MB
27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.mp4
54.6 MB
36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.mp4
53.5 MB
10. Statistics - Descriptive Statistics/22. Variance.mp4
53.4 MB
23. SQL - SQL JOINs/31. Top Tips for Joins.mp4
53.4 MB
23. SQL - SQL JOINs/10. The Functionality of LEFT JOIN - Part I.mp4
53.3 MB
37. Python - Python Variables and Data Types/5. Strings.mp4
53.1 MB
15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.mp4
52.9 MB
13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp4
52.4 MB
12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp4
52.3 MB
32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.mp4
51.8 MB
25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.mp4
51.1 MB
12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp4
50.2 MB
47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.mp4
50.1 MB
18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.mp4
50.0 MB
23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.mp4
50.0 MB
21. SQL - Practical Application of the SQL SELECT Statement/56. Using LIMIT.mp4
49.6 MB
13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4
49.5 MB
23. SQL - SQL JOINs/9. Duplicate Rows.mp4
48.8 MB
31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.mp4
47.8 MB
29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.mp4
47.8 MB
10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp4
47.3 MB
28. Tableau - Tableau functionalities/8. Working with Joins in Tableau.mp4
47.3 MB
36. Part 6 Introduction to Programming with Python/5. Why use Jupyter.mp4
46.5 MB
17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.mp4
46.1 MB
15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.mp4
46.1 MB
23. SQL - SQL JOINs/8. Extra Info on Using Joins.mp4
46.0 MB
21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.mp4
45.7 MB
31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.mp4
45.3 MB
17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.mp4
45.0 MB
5. Intro to Data and Data Science - Common Data Science Techniques/12. Traditional Methods Real-life Examples.mp4
44.9 MB
23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.mp4
44.3 MB
23. SQL - SQL JOINs/1. What are JOINs.mp4
44.2 MB
25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.mp4
44.2 MB
42. Python - Python Sequences/7. Python Dictionaries.mp4
43.7 MB
17. Part 3 Relational Database Theory & Introduction to SQL/19. The Concept of Relational Schemas Relationships Between Tables.mp4
43.7 MB
23. SQL - SQL JOINs/28. JOIN More than Two Tables.mp4
43.4 MB
21. SQL - Practical Application of the SQL SELECT Statement/42. Using ORDER BY.mp4
43.3 MB
21. SQL - Practical Application of the SQL SELECT Statement/33. Using Other Comparison Operators.mp4
43.2 MB
31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.mp4
43.1 MB
46. Integration - What is contained in this Course/3. Presenting the Data Set.mp4
42.9 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.mp4
42.6 MB
47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.mp4
42.5 MB
33. Combining SQL and Tableau - Problem 3/5. Chart 3 Visualizing the Solution in Tableau.mp4
42.5 MB
18. SQL - Install and get to know MySQL/8. Familiarize Yourself with the MySQL Interface.mp4
42.2 MB
15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.mp4
42.1 MB
10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.mp4
41.7 MB
32. Combining SQL and Tableau - Problem 2/3. Problem 2 Solution in SQL.mp4
41.6 MB
47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp4
41.5 MB
27. Part 4 Introduction to Tableau/1. Why Use Tableau Make Your Data Make an Impact.mp4
41.1 MB
46. Integration - What is contained in this Course/2. Presenting the Task Absenteeism at Work.mp4
41.0 MB
47. Integration - Data Preprocessing Step by Step/17. Concatenation in Python.mp4
40.6 MB
41. Python - Functions/2. How to Create a Function with a Parameter.mp4
40.0 MB
19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.mp4
39.7 MB
42. Python - Python Sequences/1. Introduction to Lists.mp4
39.6 MB
42. Python - Python Sequences/3. Using Methods in Python.mp4
39.4 MB
24. SQL - SQL Subqueries/1. SQL Subqueries with IN Embedded Inside WHERE.mp4
39.3 MB
10. Statistics - Descriptive Statistics/17. Mean, median and mode.mp4
38.9 MB
5. Intro to Data and Data Science - Common Data Science Techniques/17. Machine Learning (ML) Real-life Examples.mp4
38.6 MB
10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4
38.4 MB
28. Tableau - Tableau functionalities/6. Adding a Custom Calculation.mp4
38.3 MB
15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).mp4
38.1 MB
21. SQL - Practical Application of the SQL SELECT Statement/21. Using LIKE - NOT LIKE.mp4
37.8 MB
21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.mp4
37.7 MB
13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.mp4
37.1 MB
21. SQL - Practical Application of the SQL SELECT Statement/52. Using WHERE vs HAVING - Part I.mp4
36.6 MB
25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.mp4
35.9 MB
31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.mp4
35.4 MB
44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).mp4
35.2 MB
33. Combining SQL and Tableau - Problem 3/3. Problem 3 Solution in SQL.mp4
34.9 MB
21. SQL - Practical Application of the SQL SELECT Statement/10. Using OR.mp4
34.8 MB
21. SQL - Practical Application of the SQL SELECT Statement/49. Using HAVING.mp4
34.6 MB
48. Integration - Integrating Python and SQL/11. Sending Data from Jupyter to Workbench - Part III.mp4
34.4 MB
25. SQL - Stored Routines/10. Create Stored Procedures with an Output Parameter.mp4
34.1 MB
25. SQL - Stored Routines/8. Creating a Procedure in MySQL Another Way.mp4
34.0 MB
29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.mp4
33.9 MB
23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.mp4
33.8 MB
13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.mp4
33.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/16. Using IN - NOT IN.mp4
33.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/13. Operator Precedence and Logical Order.mp4
33.6 MB
23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.mp4
33.6 MB
29. Tableau - The Tableau Exercise/10. Creating and Formatting a Dashboard.mp4
33.4 MB
29. Tableau - The Tableau Exercise/11. Adding Interactive Filters for Improved Analysis.mp4
33.2 MB
31. Combining SQL and Tableau - Problem 1/6. Exporting Your Output from SQL and Loading it in Tableau.mp4
33.1 MB
42. Python - Python Sequences/5. What is List Slicing.mp4
32.3 MB
36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.mp4
32.1 MB
34. Combining SQL and Tableau - Problem 4/3. Problem 4 Solution in SQL.mp4
31.8 MB
39. Python - Other Python Operators/3. Python's Logical and Identity Operators.mp4
31.5 MB
15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).mp4
31.4 MB
5. Intro to Data and Data Science - Common Data Science Techniques/3. Traditional Data Real-life Examples.mp4
31.4 MB
25. SQL - Stored Routines/1. Defining Stored Routines.mp4
31.4 MB
24. SQL - SQL Subqueries/4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp4
31.2 MB
28. Tableau - Tableau functionalities/4. Creating a Custom Field and Adding Calculations to a Table.mp4
31.1 MB
19. SQL - Best SQL Practices/3. Coding Tips and Best Practices - II.mp4
31.1 MB
43. Python - Using Iterations/8. How to Iterate over Dictionaries.mp4
31.1 MB
47. Integration - Data Preprocessing Step by Step/30. Analysis of the Next 5 Columns in DF.mp4
31.0 MB
5. Intro to Data and Data Science - Common Data Science Techniques/9. Business Intelligence (BI) Real-life Examples.mp4
30.9 MB
42. Python - Python Sequences/6. Working with Tuples.mp4
30.9 MB
10. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp4
30.8 MB
17. Part 3 Relational Database Theory & Introduction to SQL/3. Why use MySQL.mp4
30.7 MB
32. Combining SQL and Tableau - Problem 2/1. Problem 2 Task.mp4
30.4 MB
30. Part 5 Combining SQL and Tableau - Introduction/3. Loading the Database.mp4
30.3 MB
13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).mp4
30.2 MB
29. Tableau - The Tableau Exercise/6. Performing a Numbers Check - Attempt #2.mp4
30.0 MB
29. Tableau - The Tableau Exercise/1. Introduction to the Exercise.mp4
29.9 MB
43. Python - Using Iterations/3. Using While Loops and Incrementing.mp4
29.8 MB
27. Part 4 Introduction to Tableau/2. Let's Download Tableau Public.mp4
29.8 MB
47. Integration - Data Preprocessing Step by Step/28. Adding the Day of the Week Column.mp4
29.3 MB
47. Integration - Data Preprocessing Step by Step/4. Programming vs the Rest of the World.mp4
29.2 MB
43. Python - Using Iterations/6. Combine Conditional Statements and Loops.mp4
29.1 MB
28. Tableau - Tableau functionalities/7. Inserting a Filter.mp4
29.0 MB
10. Statistics - Descriptive Statistics/27. Covariance.mp4
28.9 MB
22. SQL - Expanding on MySQL Aggregate Functions/1. Applying COUNT().mp4
28.7 MB
29. Tableau - The Tableau Exercise/7. First Chart.mp4
28.6 MB
25. SQL - Stored Routines/20. Concluding Stored Routines.mp4
28.5 MB
13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).mp4
28.1 MB
28. Tableau - Tableau functionalities/2. Creating a Table.mp4
27.2 MB
10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4
27.1 MB
43. Python - Using Iterations/4. Use the range() Function to Create Lists.mp4
27.1 MB
47. Integration - Data Preprocessing Step by Step/23. Using Checkpoints to Ease Your Work in Jupyter.mp4
27.0 MB
48. Integration - Integrating Python and SQL/1. How to Use the 'absenteeism_module' in Python - Part I.mp4
26.7 MB
48. Integration - Integrating Python and SQL/8. Executing and SQL SELECT Statement from Python.mp4
26.6 MB
28. Tableau - Tableau functionalities/1. Duplicating a Sheet.mp4
26.6 MB
37. Python - Python Variables and Data Types/1. Python Variables.mp4
26.5 MB
41. Python - Functions/3. Define a Function in Another Way.mp4
26.5 MB
23. SQL - SQL JOINs/18. Using JOIN and WHERE Together.mp4
26.4 MB
29. Tableau - The Tableau Exercise/4. Performing a Numbers Check - Attempt #1.mp4
26.3 MB
21. SQL - Practical Application of the SQL SELECT Statement/53. Using WHERE vs HAVING - Part II.mp4
26.0 MB
17. Part 3 Relational Database Theory & Introduction to SQL/17. The Concept of Relational Schemas Unique Key and Null Values.mp4
25.7 MB
25. SQL - Stored Routines/4. An Example of Stored Procedures Part I.mp4
25.1 MB
34. Combining SQL and Tableau - Problem 4/1. Problem 4 Task.mp4
24.9 MB
43. Python - Using Iterations/1. Using For Loops.mp4
24.7 MB
29. Tableau - The Tableau Exercise/2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.mp4
24.6 MB
40. Python - Conditional Statements/3. Adding an ELSE statement.mp4
24.4 MB
40. Python - Conditional Statements/1. Getting to know the IF Statement.mp4
24.4 MB
47. Integration - Data Preprocessing Step by Step/2. How to Import the Data Set in Python.mp4
24.2 MB
12. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp4
23.9 MB
34. Combining SQL and Tableau - Problem 4/5. Chart 4 Visualizing the Solution in Tableau.mp4
23.8 MB
12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp4
23.6 MB
23. SQL - SQL JOINs/27. Combining Aggregate Functions with Joins.mp4
23.2 MB
5. Intro to Data and Data Science - Common Data Science Techniques/6. Big Data Real-life Examples.mp4
23.1 MB
41. Python - Functions/7. Built-In Functions in Python Worth Knowing.mp4
23.1 MB
21. SQL - Practical Application of the SQL SELECT Statement/4. Using WHERE.mp4
23.0 MB
47. Integration - Data Preprocessing Step by Step/32. A Final Note on this Section.mp4
22.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/46. Using Aliases (AS).mp4
22.3 MB
48. Integration - Integrating Python and SQL/5. Creating a Connection and Cursor.mp4
22.0 MB
28. Tableau - Tableau functionalities/5. Adding Totals and Subtotals.mp4
21.9 MB
47. Integration - Data Preprocessing Step by Step/6. The Approach we will Take to Solve this Exercise.mp4
21.1 MB
40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.mp4
21.0 MB
44. Python - Advanced Python tools/7. How to Import Modules in Python.mp4
20.9 MB
13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).mp4
20.9 MB
10. Statistics - Descriptive Statistics/19. Skewness.mp4
20.4 MB
18. SQL - Install and get to know MySQL/5. Linking GUI with the MySQL Server.mp4
20.2 MB
48. Integration - Integrating Python and SQL/4. Importing 'pymysql' in Python.mp4
20.0 MB
20. SQL - Loading the 'employees' Database/1. Loading the 'employees' Database.mp4
19.9 MB
38. Python - Python Syntax Fundamentals/1. The Arithmetic Operators of Python.mp4
19.8 MB
44. Python - Advanced Python tools/5. What is the Standard Library.mp4
18.9 MB
28. Tableau - Tableau functionalities/3. Creating Custom Fields.mp4
18.1 MB
29. Tableau - The Tableau Exercise/8. Second Chart.mp4
17.9 MB
37. Python - Python Variables and Data Types/3. Understanding Numbers and Boolean Values.mp4
17.9 MB
22. SQL - Expanding on MySQL Aggregate Functions/13. Rounding Numbers with ROUND().mp4
17.6 MB
21. SQL - Practical Application of the SQL SELECT Statement/7. Using AND.mp4
17.5 MB
21. SQL - Practical Application of the SQL SELECT Statement/27. Using BETWEEN - AND.mp4
17.3 MB
41. Python - Functions/5. Use Conditional Statements and Functions Together.mp4
16.4 MB
21. SQL - Practical Application of the SQL SELECT Statement/36. Using SELECT DISTINCT.mp4
16.4 MB
12. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4
16.3 MB
29. Tableau - The Tableau Exercise/9. Third Chart.mp4
16.0 MB
41. Python - Functions/1. How to Define a Function in Python.mp4
15.5 MB
41. Python - Functions/6. How to Create Functions Which Contain a Few Arguments.mp4
15.4 MB
27. Part 4 Introduction to Tableau/3. Connecting Data in Tableau.mp4
15.0 MB
47. Integration - Data Preprocessing Step by Step/20. How to Reorder Columns in a DataFrame in Python.mp4
14.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/30. Using IS NOT NULL - IS NULL.mp4
14.6 MB
36. Part 6 Introduction to Programming with Python/8. Understanding Jupyter’s Interface – Dashboard.mp4
14.5 MB
10. Statistics - Descriptive Statistics/11. The Histogram.mp4
14.5 MB
47. Integration - Data Preprocessing Step by Step/15. A Statistical Perspective on Dummy Variables.mp4
14.4 MB
22. SQL - Expanding on MySQL Aggregate Functions/10. Applying AVG().mp4
14.2 MB
33. Combining SQL and Tableau - Problem 3/1. Problem 3 Task.mp4
13.9 MB
38. Python - Python Syntax Fundamentals/12. How to Structure Your Code with Indentation.mp4
13.8 MB
29. Tableau - The Tableau Exercise/12. Interactive Filters - fix.mp4
13.1 MB
36. Part 6 Introduction to Programming with Python/11. Python 2 vs Python 3.mp4
11.8 MB
38. Python - Python Syntax Fundamentals/7. How to Add Comments.mp4
11.8 MB
22. SQL - Expanding on MySQL Aggregate Functions/4. Applying SUM().mp4
11.0 MB
22. SQL - Expanding on MySQL Aggregate Functions/7. MIN() and MAX().mp4
10.8 MB
39. Python - Other Python Operators/1. Python's Comparison Operators.mp4
10.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/24. Using Wildcard Characters.mp4
10.3 MB
43. Python - Using Iterations/7. All In – Conditional Statements, Functions, and Loops.mp4
10.0 MB
44. Python - Advanced Python tools/3. Using Modules and Packages.mp4
8.9 MB
41. Python - Functions/4. How to use a Function within a Function.mp4
8.5 MB
2. Intro to Data and Data Science - The Different Data Science Fields/5.1 365_DataScience.png
7.6 MB
2. Intro to Data and Data Science - The Different Data Science Fields/7.1 365_DataScience.png
7.6 MB
3. Intro to Data and Data Science - The Relationship between Different Fields/1.1 365_DataScience.png
7.6 MB
38. Python - Python Syntax Fundamentals/3. What is the Double Equality Sign.mp4
6.3 MB
38. Python - Python Syntax Fundamentals/10. How to Index Elements.mp4
6.2 MB
38. Python - Python Syntax Fundamentals/5. How to Reassign Values.mp4
4.2 MB
28. Tableau - Tableau functionalities/3.1 Tesla sales data.xlsx
2.9 MB
28. Tableau - Tableau functionalities/2.1 Tesla sales data.xlsx
2.9 MB
28. Tableau - Tableau functionalities/4.2 Tesla sales data.xlsx
2.9 MB
28. Tableau - Tableau functionalities/5.1 Tesla sales data.xlsx
2.9 MB
38. Python - Python Syntax Fundamentals/9. Understanding Line Continuation.mp4
2.5 MB
36. Part 6 Introduction to Programming with Python/11.1 Python Introduction - Course Notes.pdf
2.1 MB
37. Python - Python Variables and Data Types/1.1 Python Introduction - Course Notes.pdf
2.1 MB
29. Tableau - The Tableau Exercise/1.2 Audiobook sales.xlsx
2.0 MB
29. Tableau - The Tableau Exercise/10.2 Audiobook sales.xlsx
2.0 MB
29. Tableau - The Tableau Exercise/11.3 Audiobook sales.xlsx
2.0 MB
29. Tableau - The Tableau Exercise/3.2 Audiobook sales.xlsx
2.0 MB
29. Tableau - The Tableau Exercise/4.1 Audiobook sales.xlsx
2.0 MB
29. Tableau - The Tableau Exercise/5.1 Audiobook sales.xlsx
2.0 MB
29. Tableau - The Tableau Exercise/6.3 Audiobook sales.xlsx
2.0 MB
29. Tableau - The Tableau Exercise/7.3 Audiobook sales.xlsx
2.0 MB
29. Tableau - The Tableau Exercise/8.3 Audiobook sales.xlsx
2.0 MB
29. Tableau - The Tableau Exercise/9.3 Audiobook sales.xlsx
2.0 MB
14. Statistics - Practical Example Inferential Statistics/2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx
1.9 MB
14. Statistics - Practical Example Inferential Statistics/1.1 3.17. Practical example. Confidence intervals_lesson.xlsx
1.8 MB
14. Statistics - Practical Example Inferential Statistics/2.2 3.17.Practical-example.Confidence-intervals-exercise.xlsx
1.8 MB
15. Statistics - Hypothesis Testing/10.1 Online p-value calculator.pdf
1.2 MB
1. Part 1 Introduction/1.1 BI - FAQ.pdf
1.2 MB
15. Statistics - Hypothesis Testing/1.1 Course notes_hypothesis_testing.pdf
672.2 kB
15. Statistics - Hypothesis Testing/4.1 Course notes_hypothesis_testing.pdf
672.2 kB
36. Part 6 Introduction to Programming with Python/9.1 Jupyter_Shortcuts.pdf
603.7 kB
18. SQL - Install and get to know MySQL/4.1 The Client-Server Model.pdf
570.3 kB
19. SQL - Best SQL Practices/1.1 MySQL_Workbench_Shortcuts.pdf
527.6 kB
10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf
493.8 kB
9. Part 2 Statistics - Population and Sample/1.1 Course notes_descriptive_statistics.pdf
493.8 kB
12. Statistics - Inferential Statistics Fundamentals/1.1 Course notes_inferential statistics.pdf
391.5 kB
12. Statistics - Inferential Statistics Fundamentals/2.2 Course notes_inferential statistics.pdf
391.5 kB
2. Intro to Data and Data Science - The Different Data Science Fields/3.1 365_DataScience_Diagram.pdf
330.8 kB
2. Intro to Data and Data Science - The Different Data Science Fields/5.2 365_DataScience_Diagram.pdf
330.8 kB
10. Statistics - Descriptive Statistics/13.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf
296.1 kB
10. Statistics - Descriptive Statistics/7.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf
296.1 kB
29. Tableau - The Tableau Exercise/1.1 Audiobook reviews.xlsx
273.3 kB
29. Tableau - The Tableau Exercise/10.3 Audiobook reviews.xlsx
273.3 kB
29. Tableau - The Tableau Exercise/11.1 Audiobook reviews.xlsx
273.3 kB
29. Tableau - The Tableau Exercise/3.1 Audiobook reviews.xlsx
273.3 kB
29. Tableau - The Tableau Exercise/4.3 Audiobook reviews.xlsx
273.3 kB
29. Tableau - The Tableau Exercise/5.2 Audiobook reviews.xlsx
273.3 kB
29. Tableau - The Tableau Exercise/6.2 Audiobook reviews.xlsx
273.3 kB
29. Tableau - The Tableau Exercise/7.2 Audiobook reviews.xlsx
273.3 kB
29. Tableau - The Tableau Exercise/8.2 Audiobook reviews.xlsx
273.3 kB
29. Tableau - The Tableau Exercise/9.1 Audiobook reviews.xlsx
273.3 kB
20. SQL - Loading the 'employees' Database/1.1 employees_db.pdf
183.1 kB
20. SQL - Loading the 'employees' Database/2.2 employees_db.pdf
183.1 kB
27. Part 4 Introduction to Tableau/3.1 GDP Data.xls
159.2 kB
27. Part 4 Introduction to Tableau/4.1 GDP Data.xls
159.2 kB
27. Part 4 Introduction to Tableau/5.2 GDP Data.xls
159.2 kB
28. Tableau - Tableau functionalities/1.1 GDP Data.xls
159.2 kB
11. Statistics - Practical Example Descriptive Statistics/1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx
150.0 kB
11. Statistics - Practical Example Descriptive Statistics/2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx
149.7 kB
47. Integration - Data Preprocessing Step by Step/1.2 data_preprocessing_homework.pdf
137.7 kB
30. Part 5 Combining SQL and Tableau - Introduction/4.1 employees_mod_db.pdf
132.8 kB
31. Combining SQL and Tableau - Problem 1/1.1 employees_mod_db.pdf
132.8 kB
28. Tableau - Tableau functionalities/3.2 Tableau operators.pdf
124.8 kB
11. Statistics - Practical Example Descriptive Statistics/2.2 2.13.Practical-example.Descriptive-statistics-exercise.xlsx
123.2 kB
28. Tableau - Tableau functionalities/8.1 13. Types of Joins.xlsx
57.7 kB
16. Statistics - Practical Example Hypothesis Testing/1.1 4.10.Hypothesis-testing-section-practical-example.xlsx
53.0 kB
16. Statistics - Practical Example Hypothesis Testing/2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx
45.1 kB
16. Statistics - Practical Example Hypothesis Testing/2.1 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx
44.4 kB
10. Statistics - Descriptive Statistics/7.3 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx
42.1 kB
10. Statistics - Descriptive Statistics/16.1 2.6. Cross table and scatter plot_exercise_solution.xlsx
41.4 kB
10. Statistics - Descriptive Statistics/19.1 2.8. Skewness_lesson.xlsx
35.5 kB
47. Integration - Data Preprocessing Step by Step/1.3 Absenteeism_data.csv
32.8 kB
10. Statistics - Descriptive Statistics/5.1 2.3. Categorical variables. Visualization techniques_lesson.xlsx
31.3 kB
10. Statistics - Descriptive Statistics/29.1 2.11. Covariance_exercise_solution.xlsx
30.2 kB
10. Statistics - Descriptive Statistics/32.1 2.12. Correlation_exercise_solution.xlsx
30.2 kB
10. Statistics - Descriptive Statistics/32.2 2.12. Correlation_exercise.xlsx
30.0 kB
47. Integration - Data Preprocessing Step by Step/1.1 df_preprocessed.csv
29.8 kB
10. Statistics - Descriptive Statistics/14.1 2.6. Cross table and scatter plot.xlsx
26.7 kB
13. Statistics - Inferential Statistics Confidence Intervals/3.1 3.9.The-z-table.xlsx
26.2 kB
13. Statistics - Inferential Statistics Confidence Intervals/4.3 3.9.The-z-table.xlsx
26.2 kB
10. Statistics - Descriptive Statistics/30.1 2.12. Correlation_lesson.xlsx
25.6 kB
10. Statistics - Descriptive Statistics/27.1 2.11. Covariance_lesson.xlsx
25.5 kB
12. Statistics - Inferential Statistics Fundamentals/8.2 3.4.Standard-normal-distribution-exercise-solution.xlsx
24.6 kB
11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.srt
21.3 kB
9. Part 2 Statistics - Population and Sample/1.2 Statistics Glossary.xlsx
20.8 kB
10. Statistics - Descriptive Statistics/29.2 2.11. Covariance_exercise.xlsx
20.7 kB
10. Statistics - Descriptive Statistics/21.1 2.8. Skewness_exercise_solution.xlsx
20.2 kB
12. Statistics - Inferential Statistics Fundamentals/2.1 3.2. What is a distribution_lesson.xlsx
19.9 kB
10. Statistics - Descriptive Statistics/11.1 2.5. The Histogram_lesson.xlsx
19.1 kB
10. Statistics - Descriptive Statistics/13.1 2.5. The Histogram_exercise_solution.xlsx
17.2 kB
10. Statistics - Descriptive Statistics/16.2 2.6. Cross table and scatter plot_exercise.xlsx
16.7 kB
13. Statistics - Inferential Statistics Confidence Intervals/8.2 3.11. The t-table.xlsx
16.2 kB
13. Statistics - Inferential Statistics Confidence Intervals/9.2 3.11. The t-table.xlsx
16.2 kB
10. Statistics - Descriptive Statistics/13.3 2.5. The Histogram_exercise.xlsx
15.9 kB
10. Statistics - Descriptive Statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx
15.6 kB
37. Python - Python Variables and Data Types/5. Strings.srt
14.9 kB
15. Statistics - Hypothesis Testing/12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx
14.9 kB
15. Statistics - Hypothesis Testing/15.2 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx
14.7 kB
13. Statistics - Inferential Statistics Confidence Intervals/13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx
14.6 kB
13. Statistics - Inferential Statistics Confidence Intervals/13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx
14.1 kB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.srt
14.0 kB
10. Statistics - Descriptive Statistics/10.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx
13.6 kB
40. Python - Conditional Statements/4. Else if, for Brief – ELIF.srt
13.5 kB
15. Statistics - Hypothesis Testing/15.1 4.7. Test for the mean. Dependent samples_exercise.xlsx
13.1 kB
18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.srt
13.0 kB
15. Statistics - Hypothesis Testing/13.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx
12.9 kB
10. Statistics - Descriptive Statistics/26.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx
12.9 kB
10. Statistics - Descriptive Statistics/10.2 2.4.Numerical-variables.Frequency-distribution-table-exercise.xlsx
12.3 kB
12. Statistics - Inferential Statistics Fundamentals/8.1 3.4.Standard-normal-distribution-exercise.xlsx
12.3 kB
2. Intro to Data and Data Science - The Different Data Science Fields/5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.srt
12.2 kB
10. Statistics - Descriptive Statistics/26.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx
11.9 kB
10. Statistics - Descriptive Statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx
11.7 kB
15. Statistics - Hypothesis Testing/20.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx
11.7 kB
10. Statistics - Descriptive Statistics/18.2 2.7. Mean, median and mode_exercise_solution.xlsx
11.6 kB
15. Statistics - Hypothesis Testing/13.2 4.6. Test-for-the-mean.Population-variance-unknown-exercise.xlsx
11.6 kB
15. Statistics - Hypothesis Testing/17.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx
11.5 kB
15. Statistics - Hypothesis Testing/9.2 4.4. Test for the mean. Population variance known_exercise_solution.xlsx
11.5 kB
13. Statistics - Inferential Statistics Confidence Intervals/3.2 3.9. Population variance known, z-score_lesson.xlsx
11.5 kB
13. Statistics - Inferential Statistics Confidence Intervals/4.1 3.9. Population variance known, z-score_exercise_solution.xlsx
11.4 kB
13. Statistics - Inferential Statistics Confidence Intervals/9.3 3.11. Population variance unknown, t-score_exercise_solution.xlsx
11.4 kB
10. Statistics - Descriptive Statistics/23.2 2.9. Variance_exercise_solution.xlsx
11.3 kB
15. Statistics - Hypothesis Testing/9.1 4.4. Test for the mean. Population variance known_exercise.xlsx
11.3 kB
5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.srt
11.2 kB
10. Statistics - Descriptive Statistics/24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx
11.2 kB
15. Statistics - Hypothesis Testing/8.1 4.4. Test for the mean. Population variance known_lesson.xlsx
11.2 kB
10. Statistics - Descriptive Statistics/18.1 2.7. Mean, median and mode_exercise.xlsx
11.1 kB
13. Statistics - Inferential Statistics Confidence Intervals/4.2 3.9. Population variance known, z-score_exercise.xlsx
11.1 kB
10. Statistics - Descriptive Statistics/23.1 2.9. Variance_exercise.xlsx
11.1 kB
27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.srt
11.0 kB
13. Statistics - Inferential Statistics Confidence Intervals/8.1 3.11. Population variance unknown, t-score_lesson.xlsx
11.0 kB
15. Statistics - Hypothesis Testing/17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx
11.0 kB
2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.srt
10.9 kB
5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.srt
10.9 kB
13. Statistics - Inferential Statistics Confidence Intervals/9.1 3.11. Population variance unknown, t-score_exercise.xlsx
10.9 kB
15. Statistics - Hypothesis Testing/20.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx
10.8 kB
5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.srt
10.8 kB
10. Statistics - Descriptive Statistics/17.1 2.7. Mean, median and mode_lesson.xlsx
10.7 kB
13. Statistics - Inferential Statistics Confidence Intervals/12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx
10.7 kB
17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.srt
10.6 kB
45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.srt
10.6 kB
12. Statistics - Inferential Statistics Fundamentals/6.1 3.4. Standard normal distribution_lesson.xlsx
10.6 kB
47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.srt
10.4 kB
13. Statistics - Inferential Statistics Confidence Intervals/15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx
10.4 kB
10. Statistics - Descriptive Statistics/22.1 2.9. Variance_lesson.xlsx
10.3 kB
47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.srt
10.3 kB
49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.srt
10.3 kB
23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.srt
10.1 kB
13. Statistics - Inferential Statistics Confidence Intervals/14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx
10.1 kB
42. Python - Python Sequences/1. Introduction to Lists.srt
10.1 kB
13. Statistics - Inferential Statistics Confidence Intervals/15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx
10.1 kB
13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.srt
10.0 kB
13. Statistics - Inferential Statistics Confidence Intervals/17.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx
10.0 kB
15. Statistics - Hypothesis Testing/14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx
10.0 kB
15. Statistics - Hypothesis Testing/16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx
9.9 kB
49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.srt
9.8 kB
13. Statistics - Inferential Statistics Confidence Intervals/16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx
9.7 kB
10. Statistics - Descriptive Statistics/21.2 2.8. Skewness_exercise.xlsx
9.7 kB
15. Statistics - Hypothesis Testing/18.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx
9.5 kB
13. Statistics - Inferential Statistics Confidence Intervals/17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx
9.4 kB
3. Intro to Data and Data Science - The Relationship between Different Fields/1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.srt
9.2 kB
41. Python - Functions/2. How to Create a Function with a Parameter.srt
9.2 kB
36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.srt
9.1 kB
5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.srt
8.9 kB
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.srt
8.9 kB
5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.srt
8.8 kB
24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.srt
8.8 kB
45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.srt
8.7 kB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.srt
8.7 kB
42. Python - Python Sequences/7. Python Dictionaries.srt
8.6 kB
47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.srt
8.6 kB
42. Python - Python Sequences/3. Using Methods in Python.srt
8.6 kB
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.srt
8.3 kB
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.srt
8.2 kB
47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.srt
8.2 kB
43. Python - Using Iterations/8. How to Iterate over Dictionaries.srt
8.1 kB
48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.srt
8.1 kB
27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.srt
8.0 kB
48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.srt
8.0 kB
47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.srt
8.0 kB
36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.srt
8.0 kB
43. Python - Using Iterations/4. Use the range() Function to Create Lists.srt
7.8 kB
48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.srt
7.8 kB
40. Python - Conditional Statements/1. Getting to know the IF Statement.srt
7.8 kB
25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.srt
7.7 kB
10. Statistics - Descriptive Statistics/22. Variance.srt
7.7 kB
48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.srt
7.7 kB
31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.srt
7.6 kB
43. Python - Using Iterations/6. Combine Conditional Statements and Loops.srt
7.6 kB
25. SQL - Stored Routines/13. SQL Variables.srt
7.6 kB
32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.srt
7.5 kB
25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.srt
7.5 kB
6. Intro to Data and Data Science - Common Data Science Tools/1. Programming Languages & Software Employed in Data Science - All the Tools Needed.srt
7.5 kB
49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.srt
7.4 kB
31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.srt
7.3 kB
30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.srt
7.2 kB
47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.srt
7.2 kB
29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.srt
7.2 kB
15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.srt
7.1 kB
17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.srt
7.1 kB
36. Part 6 Introduction to Programming with Python/3. Why use Python.srt
7.1 kB
42. Python - Python Sequences/6. Working with Tuples.srt
7.1 kB
36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.srt
7.1 kB
21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.srt
7.0 kB
23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.srt
7.0 kB
26. SQL - The CASE Statement/1. The SQL CASE Statement.srt
7.0 kB
23. SQL - SQL JOINs/31. Top Tips for Joins.srt
7.0 kB
31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.srt
7.0 kB
23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.srt
6.9 kB
17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.srt
6.9 kB
18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.srt
6.9 kB
19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.srt
6.9 kB
45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.srt
6.9 kB
17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.srt
6.9 kB
35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.srt
6.9 kB
10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.srt
6.8 kB
17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.srt
6.8 kB
21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.srt
6.8 kB
2. Intro to Data and Data Science - The Different Data Science Fields/1. Why Are There So Many Business and Data Science Buzzwords.srt
6.8 kB
23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.srt
6.8 kB
10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.srt
6.8 kB
43. Python - Using Iterations/1. Using For Loops.srt
6.7 kB
29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.srt
6.7 kB
4. Intro to Data and Data Science - What is the Purpose of each Data Science Field/1. Why do we Need each of these Disciplines.srt
6.7 kB
23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.srt
6.6 kB
41. Python - Functions/3. Define a Function in Another Way.srt
6.6 kB
18. SQL - Install and get to know MySQL/8. Familiarize Yourself with the MySQL Interface.srt
6.5 kB
10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.srt
6.5 kB
40. Python - Conditional Statements/3. Adding an ELSE statement.srt
6.4 kB
15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.srt
6.4 kB
30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.srt
6.4 kB
40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.srt
6.4 kB
17. Part 3 Relational Database Theory & Introduction to SQL/19. The Concept of Relational Schemas Relationships Between Tables.srt
6.3 kB
13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.srt
6.3 kB
25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.srt
6.3 kB
28. Tableau - Tableau functionalities/2. Creating a Table.srt
6.3 kB
44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).srt
6.2 kB
13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).srt
6.2 kB
37. Python - Python Variables and Data Types/1. Python Variables.srt
6.2 kB
17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.srt
6.2 kB
48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.srt
6.1 kB
10. Statistics - Descriptive Statistics/1. Types of Data.srt
6.1 kB
45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.srt
6.1 kB
43. Python - Using Iterations/3. Using While Loops and Incrementing.srt
6.0 kB
21. SQL - Practical Application of the SQL SELECT Statement/56. Using LIMIT.srt
6.0 kB
12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.srt
6.0 kB
47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.srt
6.0 kB
33. Combining SQL and Tableau - Problem 3/5. Chart 3 Visualizing the Solution in Tableau.srt
6.0 kB
21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.srt
5.9 kB
39. Python - Other Python Operators/3. Python's Logical and Identity Operators.srt
5.9 kB
25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.srt
5.9 kB
15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.srt
5.9 kB
10. Statistics - Descriptive Statistics/17. Mean, median and mode.srt
5.9 kB
23. SQL - SQL JOINs/10. The Functionality of LEFT JOIN - Part I.srt
5.9 kB
13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.srt
5.8 kB
47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.srt
5.8 kB
5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.srt
5.8 kB
15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.srt
5.8 kB
12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.srt
5.8 kB
31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.srt
5.8 kB
42. Python - Python Sequences/5. What is List Slicing.srt
5.7 kB
15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).srt
5.6 kB
45. Part 7 Integration - Software Integration/7. Communication through Text Files.srt
5.6 kB
9. Part 2 Statistics - Population and Sample/1. Population vs sample.srt
5.6 kB
46. Integration - What is contained in this Course/1. Solving a Business Exercise with Python, SQL, and Tableau.srt
5.6 kB
13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence interval clarifications.srt
5.5 kB
23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.srt
5.5 kB
28. Tableau - Tableau functionalities/8. Working with Joins in Tableau.srt
5.5 kB
41. Python - Functions/1. How to Define a Function in Python.srt
5.4 kB
8. Intro to Data and Data Science - Dispelling Common Misconceptions/1. Dispelling common Misconceptions.srt
5.4 kB
29. Tableau - The Tableau Exercise/10. Creating and Formatting a Dashboard.srt
5.4 kB
29. Tableau - The Tableau Exercise/6. Performing a Numbers Check - Attempt #2.srt
5.3 kB
15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).srt
5.3 kB
23. SQL - SQL JOINs/9. Duplicate Rows.srt
5.3 kB
21. SQL - Practical Application of the SQL SELECT Statement/33. Using Other Comparison Operators.srt
5.2 kB
23. SQL - SQL JOINs/1. What are JOINs.srt
5.2 kB
2. Intro to Data and Data Science - The Different Data Science Fields/7. An Overview of our Data Science Infographic.srt
5.2 kB
23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.srt
5.2 kB
47. Integration - Data Preprocessing Step by Step/17. Concatenation in Python.srt
5.2 kB
2. Intro to Data and Data Science - The Different Data Science Fields/2. Analysis vs Analytics.srt
5.2 kB
31. Combining SQL and Tableau - Problem 1/6. Exporting Your Output from SQL and Loading it in Tableau.srt
5.2 kB
24. SQL - SQL Subqueries/1. SQL Subqueries with IN Embedded Inside WHERE.srt
5.2 kB
15. Statistics - Hypothesis Testing/10. p-value.srt
5.2 kB
1. Part 1 Introduction/1. What Does the Course Cover.srt
5.1 kB
23. SQL - SQL JOINs/8. Extra Info on Using Joins.srt
5.1 kB
22. SQL - Expanding on MySQL Aggregate Functions/1. Applying COUNT().srt
5.1 kB
19. SQL - Best SQL Practices/3. Coding Tips and Best Practices - II.srt
5.1 kB
10. Statistics - Descriptive Statistics/27. Covariance.srt
5.0 kB
12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.srt
5.0 kB
29. Tableau - The Tableau Exercise/11. Adding Interactive Filters for Improved Analysis.srt
5.0 kB
23. SQL - SQL JOINs/28. JOIN More than Two Tables.srt
4.9 kB
21. SQL - Practical Application of the SQL SELECT Statement/52. Using WHERE vs HAVING - Part I.srt
4.9 kB
44. Python - Advanced Python tools/7. How to Import Modules in Python.srt
4.9 kB
48. Integration - Integrating Python and SQL/1. How to Use the 'absenteeism_module' in Python - Part I.srt
4.9 kB
27. Part 4 Introduction to Tableau/1. Why Use Tableau Make Your Data Make an Impact.srt
4.9 kB
29. Tableau - The Tableau Exercise/7. First Chart.srt
4.9 kB
10. Statistics - Descriptive Statistics/30. Correlation Coefficient.srt
4.8 kB
25. SQL - Stored Routines/20. Concluding Stored Routines.srt
4.8 kB
38. Python - Python Syntax Fundamentals/12. How to Structure Your Code with Indentation.srt
4.8 kB
32. Combining SQL and Tableau - Problem 2/1. Problem 2 Task.srt
4.8 kB
36. Part 6 Introduction to Programming with Python/5. Why use Jupyter.srt
4.7 kB
29. Tableau - The Tableau Exercise/4. Performing a Numbers Check - Attempt #1.srt
4.7 kB
17. Part 3 Relational Database Theory & Introduction to SQL/1. Why use SQL.srt
4.7 kB
28. Tableau - Tableau functionalities/4. Creating a Custom Field and Adding Calculations to a Table.srt
4.7 kB
10. Statistics - Descriptive Statistics/3. Levels of Measurement.srt
4.7 kB
13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).srt
4.6 kB
7. Intro to Data and Data Science - Data Science Career Paths/1. Data Science Job Positions What do they Involve and What to Look out for.srt
4.6 kB
47. Integration - Data Preprocessing Step by Step/28. Adding the Day of the Week Column.srt
4.6 kB
21. SQL - Practical Application of the SQL SELECT Statement/21. Using LIKE - NOT LIKE.srt
4.5 kB
25. SQL - Stored Routines/1. Defining Stored Routines.srt
4.5 kB
17. Part 3 Relational Database Theory & Introduction to SQL/17. The Concept of Relational Schemas Unique Key and Null Values.srt
4.5 kB
10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.srt
4.5 kB
21. SQL - Practical Application of the SQL SELECT Statement/13. Operator Precedence and Logical Order.srt
4.5 kB
47. Integration - Data Preprocessing Step by Step/30. Analysis of the Next 5 Columns in DF.srt
4.4 kB
32. Combining SQL and Tableau - Problem 2/3. Problem 2 Solution in SQL.srt
4.4 kB
41. Python - Functions/7. Built-In Functions in Python Worth Knowing.srt
4.3 kB
24. SQL - SQL Subqueries/4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.srt
4.3 kB
46. Integration - What is contained in this Course/3. Presenting the Data Set.srt
4.2 kB
13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.srt
4.2 kB
21. SQL - Practical Application of the SQL SELECT Statement/42. Using ORDER BY.srt
4.2 kB
38. Python - Python Syntax Fundamentals/1. The Arithmetic Operators of Python.srt
4.2 kB
25. SQL - Stored Routines/10. Create Stored Procedures with an Output Parameter.srt
4.2 kB
47. Integration - Data Preprocessing Step by Step/4. Programming vs the Rest of the World.srt
4.2 kB
21. SQL - Practical Application of the SQL SELECT Statement/49. Using HAVING.srt
4.1 kB
30. Part 5 Combining SQL and Tableau - Introduction/3. Loading the Database.srt
4.1 kB
47. Integration - Data Preprocessing Step by Step/2. How to Import the Data Set in Python.srt
4.1 kB
21. SQL - Practical Application of the SQL SELECT Statement/53. Using WHERE vs HAVING - Part II.srt
4.1 kB
12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.srt
4.0 kB
21. SQL - Practical Application of the SQL SELECT Statement/10. Using OR.srt
4.0 kB
33. Combining SQL and Tableau - Problem 3/3. Problem 3 Solution in SQL.srt
4.0 kB
38. Python - Python Syntax Fundamentals/7. How to Add Comments.srt
4.0 kB
29. Tableau - The Tableau Exercise/8. Second Chart.srt
4.0 kB
34. Combining SQL and Tableau - Problem 4/5. Chart 4 Visualizing the Solution in Tableau.srt
3.9 kB
28. Tableau - Tableau functionalities/6. Adding a Custom Calculation.srt
3.9 kB
21. SQL - Practical Application of the SQL SELECT Statement/16. Using IN - NOT IN.srt
3.9 kB
46. Integration - What is contained in this Course/2. Presenting the Task Absenteeism at Work.srt
3.8 kB
36. Part 6 Introduction to Programming with Python/8. Understanding Jupyter’s Interface – Dashboard.srt
3.8 kB
12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.srt
3.8 kB
48. Integration - Integrating Python and SQL/8. Executing and SQL SELECT Statement from Python.srt
3.8 kB
37. Python - Python Variables and Data Types/3. Understanding Numbers and Boolean Values.srt
3.8 kB
10. Statistics - Descriptive Statistics/19. Skewness.srt
3.7 kB
47. Integration - Data Preprocessing Step by Step/23. Using Checkpoints to Ease Your Work in Jupyter.srt
3.7 kB
34. Combining SQL and Tableau - Problem 4/1. Problem 4 Task.srt
3.7 kB
25. SQL - Stored Routines/8. Creating a Procedure in MySQL Another Way.srt
3.7 kB
5. Intro to Data and Data Science - Common Data Science Techniques/12. Traditional Methods Real-life Examples.srt
3.7 kB
44. Python - Advanced Python tools/5. What is the Standard Library.srt
3.6 kB
48. Integration - Integrating Python and SQL/5. Creating a Connection and Cursor.srt
3.6 kB
41. Python - Functions/5. Use Conditional Statements and Functions Together.srt
3.6 kB
23. SQL - SQL JOINs/18. Using JOIN and WHERE Together.srt
3.6 kB
48. Integration - Integrating Python and SQL/4. Importing 'pymysql' in Python.srt
3.5 kB
18. SQL - Install and get to know MySQL/5. Linking GUI with the MySQL Server.srt
3.4 kB
48. Integration - Integrating Python and SQL/11. Sending Data from Jupyter to Workbench - Part III.srt
3.4 kB
36. Part 6 Introduction to Programming with Python/11. Python 2 vs Python 3.srt
3.4 kB
25. SQL - Stored Routines/4. An Example of Stored Procedures Part I.srt
3.4 kB
29. Tableau - The Tableau Exercise/9. Third Chart.srt
3.4 kB
13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.srt
3.3 kB
28. Tableau - Tableau functionalities/1. Duplicating a Sheet.srt
3.3 kB
23. SQL - SQL JOINs/19. Important – Prevent Error Code 1055!.html
3.2 kB
34. Combining SQL and Tableau - Problem 4/3. Problem 4 Solution in SQL.srt
3.2 kB
21. SQL - Practical Application of the SQL SELECT Statement/4. Using WHERE.srt
3.1 kB
10. Statistics - Descriptive Statistics/11. The Histogram.srt
3.1 kB
41. Python - Functions/6. How to Create Functions Which Contain a Few Arguments.srt
3.1 kB
5. Intro to Data and Data Science - Common Data Science Techniques/17. Machine Learning (ML) Real-life Examples.srt
3.0 kB
28. Tableau - Tableau functionalities/3. Creating Custom Fields.srt
2.9 kB
33. Combining SQL and Tableau - Problem 3/1. Problem 3 Task.srt
2.9 kB
47. Integration - Data Preprocessing Step by Step/5. A Brief Summary of Regression Analysis.html
2.9 kB
25. SQL - Stored Routines/17. Error Code 1418..html
2.9 kB
23. SQL - SQL JOINs/27. Combining Aggregate Functions with Joins.srt
2.9 kB
47. Integration - Data Preprocessing Step by Step/6. The Approach we will Take to Solve this Exercise.srt
2.9 kB
17. Part 3 Relational Database Theory & Introduction to SQL/3. Why use MySQL.srt
2.8 kB
20. SQL - Loading the 'employees' Database/1. Loading the 'employees' Database.srt
2.8 kB
21. SQL - Practical Application of the SQL SELECT Statement/46. Using Aliases (AS).srt
2.8 kB
28. Tableau - Tableau functionalities/7. Inserting a Filter.srt
2.7 kB
18. SQL - Install and get to know MySQL/3. Installing MySQL on macOS and Unix systems.html
2.7 kB
22. SQL - Expanding on MySQL Aggregate Functions/13. Rounding Numbers with ROUND().srt
2.7 kB
21. SQL - Practical Application of the SQL SELECT Statement/36. Using SELECT DISTINCT.srt
2.7 kB
27. Part 4 Introduction to Tableau/3. Connecting Data in Tableau.srt
2.6 kB
29. Tableau - The Tableau Exercise/1. Introduction to the Exercise.srt
2.6 kB
22. SQL - Expanding on MySQL Aggregate Functions/10. Applying AVG().srt
2.6 kB
21. SQL - Practical Application of the SQL SELECT Statement/7. Using AND.srt
2.6 kB
47. Integration - Data Preprocessing Step by Step/32. A Final Note on this Section.srt
2.5 kB
39. Python - Other Python Operators/1. Python's Comparison Operators.srt
2.5 kB
47. Integration - Data Preprocessing Step by Step/1. How is the Content in the Next Sections Organized.html
2.5 kB
21. SQL - Practical Application of the SQL SELECT Statement/24. Using Wildcard Characters.srt
2.5 kB
43. Python - Using Iterations/7. All In – Conditional Statements, Functions, and Loops.srt
2.5 kB
21. SQL - Practical Application of the SQL SELECT Statement/27. Using BETWEEN - AND.srt
2.4 kB
47. Integration - Data Preprocessing Step by Step/14. How to Drop a Dummy Variable from the Data Set.html
2.4 kB
29. Tableau - The Tableau Exercise/2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.srt
2.4 kB
15. Statistics - Hypothesis Testing/2. Further Reading on Null and Alternative Hypothesis.html
2.3 kB
5. Intro to Data and Data Science - Common Data Science Techniques/3. Traditional Data Real-life Examples.srt
2.3 kB
27. Part 4 Introduction to Tableau/2. Let's Download Tableau Public.srt
2.3 kB
5. Intro to Data and Data Science - Common Data Science Techniques/9. Business Intelligence (BI) Real-life Examples.srt
2.2 kB
28. Tableau - Tableau functionalities/5. Adding Totals and Subtotals.srt
2.1 kB
41. Python - Functions/4. How to use a Function within a Function.srt
2.1 kB
12. Statistics - Inferential Statistics Fundamentals/11. Standard error.srt
2.1 kB
13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).srt
2.0 kB
21. SQL - Practical Application of the SQL SELECT Statement/30. Using IS NOT NULL - IS NULL.srt
2.0 kB
29. Tableau - The Tableau Exercise/12. Interactive Filters - fix.srt
2.0 kB
5. Intro to Data and Data Science - Common Data Science Techniques/6. Big Data Real-life Examples.srt
1.9 kB
49. Integration - Using Tableau to Analyze the Predicted Outputs/7. Completing 100%.html
1.9 kB
22. SQL - Expanding on MySQL Aggregate Functions/4. Applying SUM().srt
1.9 kB
24. SQL - SQL Subqueries/10.1 Subqueries SELECT FROM Solution.sql
1.9 kB
38. Python - Python Syntax Fundamentals/3. What is the Double Equality Sign.srt
1.9 kB
47. Integration - Data Preprocessing Step by Step/20. How to Reorder Columns in a DataFrame in Python.srt
1.9 kB
26. SQL - The CASE Statement/5. THE SQL CASE Statement - Solution 2.html
1.8 kB
23. SQL - SQL JOINs/30. JOIN More than Two Tables - Solution.html
1.8 kB
38. Python - Python Syntax Fundamentals/10. How to Index Elements.srt
1.7 kB
47. Integration - Data Preprocessing Step by Step/15. A Statistical Perspective on Dummy Variables.srt
1.7 kB
12. Statistics - Inferential Statistics Fundamentals/1. Introduction.srt
1.7 kB
25. SQL - Stored Routines/19. The Benefit of User-Defined Functions in MySQL - Solution.html
1.6 kB
22. SQL - Expanding on MySQL Aggregate Functions/7. MIN() and MAX().srt
1.6 kB
31. Combining SQL and Tableau - Problem 1/3. Important clarification!.html
1.4 kB
23. SQL - SQL JOINs/3. What are JOINs - Exercise 2.html
1.4 kB
38. Python - Python Syntax Fundamentals/5. How to Reassign Values.srt
1.3 kB
23. SQL - SQL JOINs/2. What are JOINs - Exercise 1.html
1.3 kB
44. Python - Advanced Python tools/3. Using Modules and Packages.srt
1.3 kB
47. Integration - Data Preprocessing Step by Step/29. EXERCISE - Dropping Columns.html
1.2 kB
38. Python - Python Syntax Fundamentals/9. Understanding Line Continuation.srt
1.2 kB
23. SQL - SQL JOINs/36. The Differences Between UNION and UNION ALL - Solution.html
1.1 kB
24. SQL - SQL Subqueries/9. SQL Subqueries Embedded in SELECT and FROM - Exercise 2.html
1.0 kB
18. SQL - Install and get to know MySQL/6. Read me!!!.html
1.0 kB
21. SQL - Practical Application of the SQL SELECT Statement/29. Using BETWEEN - AND - Solution.html
1.0 kB
23. SQL - SQL JOINs/17. Differences between the New and the Old Join Syntax - Solution.html
942 Bytes
25. SQL - Stored Routines/12. Stored Procedures with an Output Parameter - Solution.html
931 Bytes
20. SQL - Loading the 'employees' Database/2. Loading the 'employees' Database.html
930 Bytes
47. Integration - Data Preprocessing Step by Step/8. EXERCISE - Dropping Variables We Don't Need.html
866 Bytes
18. SQL - Install and get to know MySQL/2. Installing Visual C.html
818 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/50. Using HAVING - Exercise.html
814 Bytes
26. SQL - The CASE Statement/7. THE SQL CASE Statement - Solution 3.html
744 Bytes
32. Combining SQL and Tableau - Problem 2/4. Problem 2 Solution in SQL - Code.html
740 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/23. Using LIKE - NOT LIKE - Solution.html
733 Bytes
26. SQL - The CASE Statement/3. THE SQL CASE Statement - Solution 1.html
720 Bytes
25. SQL - Stored Routines/7. An Example of Stored Procedures Part II - Solution.html
704 Bytes
34. Combining SQL and Tableau - Problem 4/4. Problem 4 Solution in SQL - Code.html
697 Bytes
1. Part 1 Introduction/2. Download All Resources.html
666 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/51. Using HAVING - Solution.html
629 Bytes
30. Part 5 Combining SQL and Tableau - Introduction/4. Loading the Database.html
621 Bytes
23. SQL - SQL JOINs/13. The Functionality of LEFT JOIN - Part II - Solution.html
599 Bytes
24. SQL - SQL Subqueries/6. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Solution.html
573 Bytes
49. Integration - Using Tableau to Analyze the Predicted Outputs/5. EXERCISE - Transportation Expense vs Probability.html
553 Bytes
23. SQL - SQL JOINs/21. Using JOIN and WHERE Together - Solution.html
525 Bytes
24. SQL - SQL Subqueries/3. SQL Subqueries with IN Embedded Inside WHERE - Solution.html
522 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/35. Using Other Comparison Operators - Solution.html
507 Bytes
33. Combining SQL and Tableau - Problem 3/4. Problem 3 Solution in SQL - Code.html
502 Bytes
47. Integration - Data Preprocessing Step by Step/22. SOLUTION - How to Reorder Columns in a DataFrame in Python.html
471 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/26. Using Wildcard characters - Solution.html
462 Bytes
23. SQL - SQL JOINs/7. The Functionality of INNER JOIN - PART II - Solution.html
443 Bytes
23. SQL - SQL JOINs/12. The Functionality of LEFT JOIN - Part II - Exercise.html
441 Bytes
25. SQL - Stored Routines/18. The Benefit of User-Defined Functions in MySQL - Exercise.html
432 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/22. Using LIKE - NOT LIKE - Exercise.html
427 Bytes
23. SQL - SQL JOINs/26. The Functionality of CROSS JOIN - Solution 2.html
413 Bytes
26. SQL - The CASE Statement/6. THE SQL CASE Statement - Exercise 3.html
411 Bytes
23. SQL - SQL JOINs/24. The Functionality of CROSS JOIN - Solution 1.html
407 Bytes
24. SQL - SQL Subqueries/8. SQL Subqueries Embedded in SELECT and FROM - Exercise 1.html
402 Bytes
49. Integration - Using Tableau to Analyze the Predicted Outputs/3. EXERCISE - Reasons vs Probability.html
397 Bytes
49. Integration - Using Tableau to Analyze the Predicted Outputs/1. EXERCISE - Age vs Probability.html
385 Bytes
26. SQL - The CASE Statement/4. THE SQL CASE Statement - Exercise 2.html
376 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/41. Getting to Know Aggregate Functions - Solution.html
375 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/55. Using WHERE vs HAVING - Part II - Solution.html
370 Bytes
31. Combining SQL and Tableau - Problem 1/5. Problem 1 Solution in SQL - Code.html
370 Bytes
26. SQL - The CASE Statement/2. The SQL CASE Statement - Exercise 1.html
362 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/37. Using SELECT DISTINCT - Exercise.html
355 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/9. MIN() and MAX() - Solution.html
352 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/48. Using Aliases (AS) - Solution.html
344 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/28. Using BETWEEN - AND - Exercise.html
335 Bytes
34. Combining SQL and Tableau - Problem 4/2. Problem 4 Task - Text.html
325 Bytes
23. SQL - SQL JOINs/33. Top Tips for Joins - Solution.html
322 Bytes
48. Integration - Integrating Python and SQL/6. EXERCISE - Creating 'df_new_obs'.html
322 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/3. Using SELECT - FROM - Solution.html
314 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/47. Using Aliases (AS) - Exercise.html
303 Bytes
25. SQL - Stored Routines/14. SQL Variables - Exercise.html
299 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/34. Using Other Comparison Operators - Exercise.html
269 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/15. Operator Precedence and Logical Order - Solution.html
265 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/40. Getting to Know Aggregate Functions - Exercise.html
262 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/12. Using OR - Solution.html
248 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/15. Rounding Numbers with ROUND() - Solution.html
247 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/20. Using IN - NOT IN - Solution 2.html
245 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/9. Using AND - Solution.html
241 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/12. Applying AVG() - Solution.html
237 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/6. Applying SUM() - Solution.html
237 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/18. Using IN - NOT IN - Solution 1.html
234 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/32. Using IS NOT NULL - IS NULL - Solution.html
230 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/6. Using WHERE - Solution.html
221 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/25. Using Wildcard characters - Exercise.html
219 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/54. Using WHERE vs HAVING - Part II - Exercise.html
199 Bytes
23. SQL - SQL JOINs/16. Differences between the New and the Old Join Syntax - Exercise.html
192 Bytes
47. Integration - Data Preprocessing Step by Step/29.2 Preprocessing - df_reason_date_mod.html
191 Bytes
47. Integration - Data Preprocessing Step by Step/18. EXERCISE - Concatenation in Python.html
189 Bytes
47. Integration - Data Preprocessing Step by Step/29.1 Dropping Columns.html
188 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/44. Using ORDER BY - Solution.html
186 Bytes
47. Integration - Data Preprocessing Step by Step/23.1 Using Checkpoints.html
176 Bytes
24. SQL - SQL Subqueries/5. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Exercise.html
175 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/58. Using LIMIT - Solution.html
171 Bytes
47. Integration - Data Preprocessing Step by Step/32.1 Exercises and solutions.html
170 Bytes
23. SQL - SQL JOINs/35. The Differences Between UNION and UNION ALL - Exercise.html
167 Bytes
33. Combining SQL and Tableau - Problem 3/2. Problem 3 Task - Text.html
167 Bytes
47. Integration - Data Preprocessing Step by Step/21. EXERCISE - How to Reorder Columns in a DataFrame in Python.html
167 Bytes
23. SQL - SQL JOINs/20. Using JOIN and WHERE Together - Exercise.html
165 Bytes
23. SQL - SQL JOINs/25. The Functionality of CROSS JOIN - Exercise 2.html
162 Bytes
32. Combining SQL and Tableau - Problem 2/2. Problem 2 Task - Text.html
162 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/3. Applying COUNT() - Solution.html
158 Bytes
28. Tableau - Tableau functionalities/4.1 Creating a custom field - Tableau Public Link.html
157 Bytes
10. Statistics - Descriptive Statistics/12. The Histogram.html
156 Bytes
10. Statistics - Descriptive Statistics/15. Cross Tables and Scatter Plots.html
156 Bytes
10. Statistics - Descriptive Statistics/2. Types of data.html
156 Bytes
10. Statistics - Descriptive Statistics/20. Skewness.html
156 Bytes
10. Statistics - Descriptive Statistics/25. Standard deviation.html
156 Bytes
10. Statistics - Descriptive Statistics/28. Covariance.html
156 Bytes
10. Statistics - Descriptive Statistics/31. Correlation Coefficient.html
156 Bytes
10. Statistics - Descriptive Statistics/4. Levels of measurement.html
156 Bytes
10. Statistics - Descriptive Statistics/6. Categorical variables. Visualization Techniques.html
156 Bytes
10. Statistics - Descriptive Statistics/9. Numerical variables. Using a frequency distribution table.html
156 Bytes
12. Statistics - Inferential Statistics Fundamentals/10. Central Limit Theorem.html
156 Bytes
12. Statistics - Inferential Statistics Fundamentals/12. Standard error.html
156 Bytes
12. Statistics - Inferential Statistics Fundamentals/14. Estimators and Estimates.html
156 Bytes
12. Statistics - Inferential Statistics Fundamentals/3. What is a Distribution.html
156 Bytes
12. Statistics - Inferential Statistics Fundamentals/5. The Normal Distribution.html
156 Bytes
12. Statistics - Inferential Statistics Fundamentals/7. The Standard Normal Distribution.html
156 Bytes
13. Statistics - Inferential Statistics Confidence Intervals/11. Margin of Error.html
156 Bytes
13. Statistics - Inferential Statistics Confidence Intervals/2. What are Confidence Intervals.html
156 Bytes
13. Statistics - Inferential Statistics Confidence Intervals/7. Student's T Distribution.html
156 Bytes
15. Statistics - Hypothesis Testing/11. p-value.html
156 Bytes
15. Statistics - Hypothesis Testing/19. Test for the mean. Independent samples (Part 2).html
156 Bytes
15. Statistics - Hypothesis Testing/3. The Null vs Alternative Hypothesis.html
156 Bytes
15. Statistics - Hypothesis Testing/5. Rejection Region and Significance Level.html
156 Bytes
15. Statistics - Hypothesis Testing/7. Type I Error and Type II Error.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/10. Comparing Databases and Spreadsheets.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/12. Important Database Terminology.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/14. The Concept of Relational Schemas Primary Key.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/16. The Concept of Relational Schemas Foreign Key.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/18. The Concept of Relational Schemas Unique Key.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/2. Why use SQL.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/20. The Concept of Relational Schemas Relationships Between Tables.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/4. Why use MySQL.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/6. Introducing Databases.html
156 Bytes
17. Part 3 Relational Database Theory & Introduction to SQL/8. Relational Database Fundamentals.html
156 Bytes
19. SQL - Best SQL Practices/2. Coding Tips and Best Practices - I.html
156 Bytes
19. SQL - Best SQL Practices/4. Coding Tips and Best Practices - II.html
156 Bytes
2. Intro to Data and Data Science - The Different Data Science Fields/4. Intro to Business Analytics, Data Analytics, and Data Science.html
156 Bytes
2. Intro to Data and Data Science - The Different Data Science Fields/6. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.html
156 Bytes
2. Intro to Data and Data Science - The Different Data Science Fields/8. An Overview of our Data Science Infographic.html
156 Bytes
25. SQL - Stored Routines/15. SQL Variables - Solution.html
156 Bytes
25. SQL - Stored Routines/2. Defining Stored Routines.html
156 Bytes
25. SQL - Stored Routines/21. Concluding Stored Routines.html
156 Bytes
3. Intro to Data and Data Science - The Relationship between Different Fields/2. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.html
156 Bytes
36. Part 6 Introduction to Programming with Python/10. Understanding Jupyter's Interface.html
156 Bytes
36. Part 6 Introduction to Programming with Python/2. A 5-minute explanation of Programming.html
156 Bytes
36. Part 6 Introduction to Programming with Python/4. Why Use Python.html
156 Bytes
36. Part 6 Introduction to Programming with Python/6. Why Use Jupyter.html
156 Bytes
37. Python - Python Variables and Data Types/2. Python Variables.html
156 Bytes
37. Python - Python Variables and Data Types/4. Understanding Numbers and Boolean Values.html
156 Bytes
37. Python - Python Variables and Data Types/6. Strings.html
156 Bytes
38. Python - Python Syntax Fundamentals/11. How to Index Elements.html
156 Bytes
38. Python - Python Syntax Fundamentals/13. How to Structure Your Code with Indentation.html
156 Bytes
38. Python - Python Syntax Fundamentals/2. Using Arithmetic Operators in Python.html
156 Bytes
38. Python - Python Syntax Fundamentals/4. What is the Double Equality Sign.html
156 Bytes
38. Python - Python Syntax Fundamentals/6. How to Reassign Values.html
156 Bytes
38. Python - Python Syntax Fundamentals/8. How to Add Comments.html
156 Bytes
39. Python - Other Python Operators/2. Python's Comparison Operators.html
156 Bytes
39. Python - Other Python Operators/4. Python's Logical and Identity Operators.html
156 Bytes
4. Intro to Data and Data Science - What is the Purpose of each Data Science Field/2. Why do we Need each of these Disciplines.html
156 Bytes
40. Python - Conditional Statements/2. Getting to know the IF Statement.html
156 Bytes
40. Python - Conditional Statements/6. An Additional Explanation of Boolean Values.html
156 Bytes
41. Python - Functions/8. Python - Functions.html
156 Bytes
42. Python - Python Sequences/2. Introduction to Lists.html
156 Bytes
42. Python - Python Sequences/4. Using Methods in Python.html
156 Bytes
42. Python - Python Sequences/8. Python Dictionaries.html
156 Bytes
43. Python - Using Iterations/2. For Loops.html
156 Bytes
43. Python - Using Iterations/5. Use the range() Function to Create Lists.html
156 Bytes
44. Python - Advanced Python tools/2. Introduction to Object Oriented Programming (OOP).html
156 Bytes
44. Python - Advanced Python tools/4. Using Modules and Packages.html
156 Bytes
44. Python - Advanced Python tools/6. What is the Standard Library.html
156 Bytes
44. Python - Advanced Python tools/8. How to Import Modules in Python.html
156 Bytes
45. Part 7 Integration - Software Integration/10. What is Software Integration and How is it Applied.html
156 Bytes
45. Part 7 Integration - Software Integration/2. Getting Started with Data, Servers, Clients, Requests, and Responses.html
156 Bytes
45. Part 7 Integration - Software Integration/4. Getting Started with Data Connectivity, APIs, and Endpoints.html
156 Bytes
45. Part 7 Integration - Software Integration/6. Become Better Acquainted with APIs.html
156 Bytes
45. Part 7 Integration - Software Integration/8. Communication through Text Files.html
156 Bytes
46. Integration - What is contained in this Course/4. Presenting the Data Set.html
156 Bytes
47. Integration - Data Preprocessing Step by Step/32.2 Preprocessing.html
156 Bytes
5. Intro to Data and Data Science - Common Data Science Techniques/11. Traditional Methods Techniques.html
156 Bytes
5. Intro to Data and Data Science - Common Data Science Techniques/14. Machine Learning (ML) Techniques.html
156 Bytes
5. Intro to Data and Data Science - Common Data Science Techniques/16. Machine Learning (ML) Types of Machine Learning.html
156 Bytes
5. Intro to Data and Data Science - Common Data Science Techniques/18. Machine Learning (ML) Real-life Examples.html
156 Bytes
5. Intro to Data and Data Science - Common Data Science Techniques/2. Traditional Data Techniques.html
156 Bytes
5. Intro to Data and Data Science - Common Data Science Techniques/5. Big Data Techniques.html
156 Bytes
5. Intro to Data and Data Science - Common Data Science Techniques/8. Business Intelligence (BI) Techniques.html
156 Bytes
6. Intro to Data and Data Science - Common Data Science Tools/2. Programming Languages & Software Employed in Data Science - All the Tools Needed.html
156 Bytes
7. Intro to Data and Data Science - Data Science Career Paths/2. Data Science Job Positions What do they Involve and What to Look out for.html
156 Bytes
8. Intro to Data and Data Science - Dispelling Common Misconceptions/2. Dispelling common Misconceptions.html
156 Bytes
9. Part 2 Statistics - Population and Sample/2. Population and Sample.html
156 Bytes
28. Tableau - Tableau functionalities/7.1 Inserting a filter - Tableau Public Link.html
155 Bytes
29. Tableau - The Tableau Exercise/11.2 Adding a filter - Tableau Public Link.html
155 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/38. Using SELECT DISTINCT - Solution.html
154 Bytes
28. Tableau - Tableau functionalities/6.1 Adding a custom calculation - Tableau Public Link.html
154 Bytes
48. Integration - Integrating Python and SQL/11.1 Integration.html
154 Bytes
25. SQL - Stored Routines/11. Create Stored Procedures with an Output Parameter - Exercise.html
152 Bytes
28. Tableau - Tableau functionalities/2.2 Creating a table - Tableau Public Link.html
151 Bytes
29. Tableau - The Tableau Exercise/10.1 Creating a dashboard - Tableau Public Link.html
151 Bytes
23. SQL - SQL JOINs/23. The Functionality of CROSS JOIN - Exercise 1.html
150 Bytes
28. Tableau - Tableau functionalities/5.2 Addint totals and subtotals - Tableau Public Link.html
150 Bytes
29. Tableau - The Tableau Exercise/4.2 Check the data - Tableau Public Link.html
150 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/2. Using SELECT - FROM - Exercise.html
149 Bytes
29. Tableau - The Tableau Exercise/8.1 Second chart - Tableau Public Link.html
149 Bytes
31. Combining SQL and Tableau - Problem 1/2. Problem 1 Task - Text.html
149 Bytes
29. Tableau - The Tableau Exercise/7.1 First chart - Tableau Public Link.html
148 Bytes
29. Tableau - The Tableau Exercise/9.2 Third chart - Tableau Public Link.html
148 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/14. Rounding Numbers with ROUND() - Exercise.html
145 Bytes
27. Part 4 Introduction to Tableau/5.1 GDP Data - Tableau Public Link.html
144 Bytes
29. Tableau - The Tableau Exercise/5.3 Check the data - Tableau Public Link.html
143 Bytes
29. Tableau - The Tableau Exercise/6.1 Check the data - Tableau Public Link.html
143 Bytes
47. Integration - Data Preprocessing Step by Step/19. SOLUTION - Concatenation in Python.html
142 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/17. Using IN - NOT IN - Exercise 1.html
140 Bytes
23. SQL - SQL JOINs/6. The Functionality of INNER JOIN - PART II - Exercise.html
140 Bytes
24. SQL - SQL Subqueries/2. SQL Subqueries with IN Embedded Inside WHERE - Exercise.html
138 Bytes
47. Integration - Data Preprocessing Step by Step/24. EXERCISE - Using Checkpoints to Ease Your Work in Jupyter.html
137 Bytes
37. Python - Python Variables and Data Types/1.2 Python Variables - Resources.html
134 Bytes
37. Python - Python Variables and Data Types/3.1 Understanding Numbers and Boolean Values - Resources.html
134 Bytes
37. Python - Python Variables and Data Types/5.1 Strings - Resources.html
134 Bytes
38. Python - Python Syntax Fundamentals/1.1 Arithmetic Operators - Resources.html
134 Bytes
38. Python - Python Syntax Fundamentals/10.1 Indexing Elements - Resources.html
134 Bytes
38. Python - Python Syntax Fundamentals/12.1 Structure Your Code with Indentation - Resources.html
134 Bytes
38. Python - Python Syntax Fundamentals/3.1 The Double Equality Sign - Resources.html
134 Bytes
38. Python - Python Syntax Fundamentals/5.1 Reassign Values - Resources.html
134 Bytes
38. Python - Python Syntax Fundamentals/7.1 How to Add Comments - Resources.html
134 Bytes
38. Python - Python Syntax Fundamentals/9.1 Line Continuation - Resources.html
134 Bytes
39. Python - Other Python Operators/1.1 Comparison Operators - Resources.html
134 Bytes
39. Python - Other Python Operators/3.1 Logical and Identity Operators - Resources.html
134 Bytes
40. Python - Conditional Statements/1.1 Introduction to the If Statement - Resources.html
134 Bytes
40. Python - Conditional Statements/3.1 Add an Else Statement - Resources.html
134 Bytes
40. Python - Conditional Statements/4.1 Else if, for Brief - Elif - Resources.html
134 Bytes
40. Python - Conditional Statements/5.1 A Note on Boolean Values - Resources.html
134 Bytes
41. Python - Functions/1.1 Defining a Function in Python - Resources.html
134 Bytes
41. Python - Functions/2.1 Creating a Function with a Parameter - Resources.html
134 Bytes
41. Python - Functions/3.1 Another Way to Define a Function - Resources.html
134 Bytes
41. Python - Functions/4.1 Using a Function in Another Function - Resources.html
134 Bytes
41. Python - Functions/5.1 Combining Conditional Statements and Functions - Resources.html
134 Bytes
41. Python - Functions/6.1 Creating Functions Containing a Few Arguments - Resources.html
134 Bytes
41. Python - Functions/7.1 Notable Built-In Functions in Python - Resources.html
134 Bytes
42. Python - Python Sequences/1.1 Lists - Resources.html
134 Bytes
42. Python - Python Sequences/3.1 Help Yourself with Methods - Resources.html
134 Bytes
42. Python - Python Sequences/5.1 List Slicing - Resources.html
134 Bytes
42. Python - Python Sequences/6.1 Tuples - Resources.html
134 Bytes
42. Python - Python Sequences/7.1 Dictionaries - Resources.html
134 Bytes
43. Python - Using Iterations/1.1 For Loops - Resources.html
134 Bytes
43. Python - Using Iterations/3.1 While Loops and Incrementing - Resources.html
134 Bytes
43. Python - Using Iterations/4.1 Create Lists with the range() Function - Resources.html
134 Bytes
43. Python - Using Iterations/6.1 Use Conditional Statements and Loops Together - Resources.html
134 Bytes
43. Python - Using Iterations/7.1 All In - Conditional Statements, Functions, and Loops - Resources.html
134 Bytes
43. Python - Using Iterations/8.1 Iterating over Dictionaries - Resources.html
134 Bytes
48. Integration - Integrating Python and SQL/1.1 The 5 files rar.html
134 Bytes
47. Integration - Data Preprocessing Step by Step/12. EXERCISE - Splitting a Variable into Multiple Dummy Variables.html
129 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/8. MIN() and MAX() - Exercise.html
128 Bytes
0. Websites you may like/[FreeCourseSite.com].url
127 Bytes
30. Part 5 Combining SQL and Tableau - Introduction/4.2 The 'employees_mod' database.html
125 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/2. Applying COUNT() - Exercise.html
123 Bytes
0. Websites you may like/[CourseClub.Me].url
122 Bytes
20. SQL - Loading the 'employees' Database/2.1 The 'employees' database.html
121 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/19. Using IN - NOT IN - Exercise 2.html
118 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/5. Applying SUM() - Exercise.html
117 Bytes
47. Integration - Data Preprocessing Step by Step/25. SOLUTION - Using Checkpoints to Ease Your Work in Jupyter.html
117 Bytes
47. Integration - Data Preprocessing Step by Step/13. SOLUTION - Splitting a Variable into Multiple Dummy Variables.html
116 Bytes
25. SQL - Stored Routines/6. An Example of Stored Procedures Part II - Exercise.html
114 Bytes
47. Integration - Data Preprocessing Step by Step/9. SOLUTION - Dropping Variables We Don't Need.html
113 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/43. Using ORDER BY - Exercise.html
106 Bytes
23. SQL - SQL JOINs/29. JOIN More than Two Tables - Exercise.html
105 Bytes
22. SQL - Expanding on MySQL Aggregate Functions/11. Applying AVG() - Exercise.html
102 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/5. Using WHERE - Exercise.html
93 Bytes
23. SQL - SQL JOINs/32. Top Tips for Joins - Exercise.html
93 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/14. Operator Precedence and Logical Order - Exercise.html
92 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/11. Using OR - Exercise.html
85 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/31. Using IS NOT NULL - IS NULL - Exercise.html
85 Bytes
13. Statistics - Inferential Statistics Confidence Intervals/13. Confidence intervals. Two means. Dependent samples Exercise.html
82 Bytes
13. Statistics - Inferential Statistics Confidence Intervals/15. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html
82 Bytes
13. Statistics - Inferential Statistics Confidence Intervals/17. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html
82 Bytes
13. Statistics - Inferential Statistics Confidence Intervals/9. Confidence Intervals; Population Variance Unknown; t-score Exercise.html
82 Bytes
14. Statistics - Practical Example Inferential Statistics/2. Practical Example Inferential Statistics Exercise.html
82 Bytes
15. Statistics - Hypothesis Testing/13. Test for the Mean. Population Variance Unknown Exercise.html
82 Bytes
15. Statistics - Hypothesis Testing/15. Test for the Mean. Dependent Samples Exercise.html
82 Bytes
15. Statistics - Hypothesis Testing/17. Test for the mean. Independent samples (Part 1). Exercise.html
82 Bytes
15. Statistics - Hypothesis Testing/20. Test for the mean. Independent samples (Part 2).html
82 Bytes
15. Statistics - Hypothesis Testing/9. Test for the Mean. Population Variance Known Exercise.html
82 Bytes
16. Statistics - Practical Example Hypothesis Testing/2. Practical Example Hypothesis Testing Exercise.html
82 Bytes
10. Statistics - Descriptive Statistics/10. Numerical Variables Exercise.html
81 Bytes
10. Statistics - Descriptive Statistics/13. Histogram Exercise.html
81 Bytes
10. Statistics - Descriptive Statistics/16. Cross Tables and Scatter Plots Exercise.html
81 Bytes
10. Statistics - Descriptive Statistics/18. Mean, Median and Mode Exercise.html
81 Bytes
10. Statistics - Descriptive Statistics/21. Skewness Exercise.html
81 Bytes
10. Statistics - Descriptive Statistics/23. Variance Exercise.html
81 Bytes
10. Statistics - Descriptive Statistics/26. Standard Deviation and Coefficient of Variation Exercise.html
81 Bytes
10. Statistics - Descriptive Statistics/29. Covariance Exercise.html
81 Bytes
10. Statistics - Descriptive Statistics/32. Correlation Coefficient Exercise.html
81 Bytes
10. Statistics - Descriptive Statistics/7. Categorical Variables Exercise.html
81 Bytes
11. Statistics - Practical Example Descriptive Statistics/2. Practical Example Exercise.html
81 Bytes
12. Statistics - Inferential Statistics Fundamentals/8. The Standard Normal Distribution Exercise.html
81 Bytes
13. Statistics - Inferential Statistics Confidence Intervals/4. Confidence Intervals; Population Variance Known; z-score Exercise.html
81 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/8. Using AND - Exercise.html
78 Bytes
21. SQL - Practical Application of the SQL SELECT Statement/57. Using LIMIT - Exercise.html
65 Bytes
0. Websites you may like/[GigaCourse.Com].url
49 Bytes
18. SQL - Install and get to know MySQL/4. The Client-Server Model.html
30 Bytes
24. SQL - SQL Subqueries/10. SQL Subqueries Nested in SELECT and FROM - Solution 2.html
15 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！
>
