[FreeAllCourse.com] Udemy - The Business Intelligence Analyst Course 2021

Creation Time	July 22, 2024, 3:14 p.m.
Last Access Time	Dec. 18, 2024, 4:13 a.m.
File Size	11.1 GB
Keywords	Business Intelligence - FreeAllCourse Udemy Course 2021 The com Analyst
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Total Files	1024
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11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.mp4 160.5 MB
17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.mp4 156.8 MB
5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.mp4 138.4 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 126.8 MB
5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.mp4 125.1 MB
45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.mp4 115.6 MB
5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.srt 111.7 MB
5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.mp4 111.6 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 109.0 MB
17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.mp4 107.7 MB
45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4 104.2 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 103.4 MB
17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.mp4 102.9 MB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 102.6 MB
5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 99.3 MB
18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.mp4 99.1 MB
30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.mp4 92.7 MB
15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.mp4 92.1 MB
17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.mp4 90.5 MB
23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.mp4 89.9 MB
5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 89.8 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 87.5 MB
30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.mp4 83.9 MB
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 82.5 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 81.4 MB
47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.mp4 81.1 MB
13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4 78.2 MB
48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.mp4 76.3 MB
5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.mp4 75.5 MB
36. Part 6 Introduction to Programming with Python/3. Why use Python.mp4 75.1 MB
47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.mp4 74.6 MB
8. Intro to Data and Data Science - Dispelling Common Misconceptions/1. Dispelling common Misconceptions.mp4 72.7 MB
10. Statistics - Descriptive Statistics/1. Types of Data.mp4 72.5 MB
24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.mp4 71.7 MB
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4 70.4 MB
17. Part 3 Relational Database Theory & Introduction to SQL/1. Why use SQL.mp4 70.1 MB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4 69.4 MB
45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4 69.1 MB
2. Intro to Data and Data Science - The Different Data Science Fields/7. An Overview of our Data Science Infographic.mp4 67.8 MB
23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.mp4 67.1 MB
25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.mp4 64.5 MB
2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.mp4 64.5 MB
45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.mp4 63.7 MB
12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4 62.9 MB
47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.mp4 61.8 MB
47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.mp4 61.7 MB
12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4 61.7 MB
45. Part 7 Integration - Software Integration/7. Communication through Text Files.mp4 60.3 MB
26. SQL - The CASE Statement/1. The SQL CASE Statement.mp4 59.4 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.mp4 59.3 MB
27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.mp4 59.0 MB
48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.mp4 58.9 MB
36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.mp4 58.5 MB
48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.mp4 58.2 MB
9. Part 2 Statistics - Population and Sample/1. Population vs sample.mp4 58.1 MB
47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.mp4 57.3 MB
13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence interval clarifications.mp4 57.0 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.mp4 56.5 MB
35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp4 56.2 MB
15. Statistics - Hypothesis Testing/10. p-value.mp4 55.9 MB
1. Part 1 Introduction/1. What Does the Course Cover.mp4 55.1 MB
23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.mp4 54.9 MB
25. SQL - Stored Routines/13. SQL Variables.mp4 54.6 MB
10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4 54.4 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 54.3 MB
48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.mp4 54.3 MB
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.mp4 54.3 MB
21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.mp4 53.6 MB
2. Intro to Data and Data Science - The Different Data Science Fields/2. Analysis vs Analytics.mp4 53.5 MB
40. Python - Conditional Statements/4. Else if, for Brief – ELIF.mp4 53.4 MB
48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.mp4 52.5 MB
46. Integration - What is contained in this Course/1. Solving a Business Exercise with Python, SQL, and Tableau.mp4 52.3 MB
27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.mp4 52.1 MB
36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.mp4 51.0 MB
10. Statistics - Descriptive Statistics/22. Variance.mp4 51.0 MB
23. SQL - SQL JOINs/31. Top Tips for Joins.mp4 50.9 MB
23. SQL - SQL JOINs/10. The Functionality of LEFT JOIN - Part I.mp4 50.8 MB
37. Python - Python Variables and Data Types/5. Strings.mp4 50.6 MB
15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.mp4 50.4 MB
13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp4 50.0 MB
12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp4 49.9 MB
32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.mp4 49.4 MB
25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.mp4 48.8 MB
12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp4 47.9 MB
47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.mp4 47.8 MB
18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.mp4 47.7 MB
23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.mp4 47.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/56. Using LIMIT.mp4 47.2 MB
13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4 47.2 MB
23. SQL - SQL JOINs/9. Duplicate Rows.mp4 46.5 MB
31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.mp4 45.6 MB
29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.mp4 45.6 MB
10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp4 45.2 MB
28. Tableau - Tableau functionalities/8. Working with Joins in Tableau.mp4 45.1 MB
36. Part 6 Introduction to Programming with Python/5. Why use Jupyter.mp4 44.3 MB
15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.mp4 44.0 MB
17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.mp4 44.0 MB
23. SQL - SQL JOINs/8. Extra Info on Using Joins.mp4 43.9 MB
21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.mp4 43.6 MB
31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.mp4 43.2 MB
17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.mp4 42.9 MB
5. Intro to Data and Data Science - Common Data Science Techniques/12. Traditional Methods Real-life Examples.mp4 42.9 MB
23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.mp4 42.3 MB
23. SQL - SQL JOINs/1. What are JOINs.mp4 42.2 MB
25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.mp4 42.1 MB
42. Python - Python Sequences/7. Python Dictionaries.mp4 41.7 MB
17. Part 3 Relational Database Theory & Introduction to SQL/19. The Concept of Relational Schemas Relationships Between Tables.mp4 41.7 MB
23. SQL - SQL JOINs/28. JOIN More than Two Tables.mp4 41.4 MB
21. SQL - Practical Application of the SQL SELECT Statement/42. Using ORDER BY.mp4 41.3 MB
21. SQL - Practical Application of the SQL SELECT Statement/33. Using Other Comparison Operators.mp4 41.2 MB
31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.mp4 41.1 MB
46. Integration - What is contained in this Course/3. Presenting the Data Set.mp4 40.9 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.mp4 40.6 MB
47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.mp4 40.6 MB
33. Combining SQL and Tableau - Problem 3/5. Chart 3 Visualizing the Solution in Tableau.mp4 40.5 MB
18. SQL - Install and get to know MySQL/8. Familiarize Yourself with the MySQL Interface.mp4 40.3 MB
15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.mp4 40.2 MB
10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.mp4 39.8 MB
32. Combining SQL and Tableau - Problem 2/3. Problem 2 Solution in SQL.mp4 39.7 MB
47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp4 39.6 MB
27. Part 4 Introduction to Tableau/1. Why Use Tableau Make Your Data Make an Impact.mp4 39.2 MB
46. Integration - What is contained in this Course/2. Presenting the Task Absenteeism at Work.mp4 39.1 MB
47. Integration - Data Preprocessing Step by Step/17. Concatenation in Python.mp4 38.8 MB
41. Python - Functions/2. How to Create a Function with a Parameter.mp4 38.1 MB
19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.mp4 37.8 MB
42. Python - Python Sequences/1. Introduction to Lists.mp4 37.8 MB
42. Python - Python Sequences/3. Using Methods in Python.mp4 37.6 MB
24. SQL - SQL Subqueries/1. SQL Subqueries with IN Embedded Inside WHERE.mp4 37.5 MB
10. Statistics - Descriptive Statistics/17. Mean, median and mode.mp4 37.1 MB
5. Intro to Data and Data Science - Common Data Science Techniques/17. Machine Learning (ML) Real-life Examples.mp4 36.9 MB
10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4 36.6 MB
28. Tableau - Tableau functionalities/6. Adding a Custom Calculation.mp4 36.5 MB
15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).mp4 36.4 MB
21. SQL - Practical Application of the SQL SELECT Statement/21. Using LIKE - NOT LIKE.mp4 36.1 MB
21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.mp4 35.9 MB
13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.mp4 35.4 MB
21. SQL - Practical Application of the SQL SELECT Statement/52. Using WHERE vs HAVING - Part I.mp4 34.9 MB
25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.mp4 34.3 MB
31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.mp4 33.8 MB
44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).mp4 33.6 MB
33. Combining SQL and Tableau - Problem 3/3. Problem 3 Solution in SQL.mp4 33.3 MB
21. SQL - Practical Application of the SQL SELECT Statement/10. Using OR.mp4 33.2 MB
21. SQL - Practical Application of the SQL SELECT Statement/49. Using HAVING.mp4 33.0 MB
48. Integration - Integrating Python and SQL/11. Sending Data from Jupyter to Workbench - Part III.mp4 32.8 MB
25. SQL - Stored Routines/10. Create Stored Procedures with an Output Parameter.mp4 32.5 MB
25. SQL - Stored Routines/8. Creating a Procedure in MySQL Another Way.mp4 32.4 MB
29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.mp4 32.3 MB
23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.srt 32.2 MB
23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.mp4 32.2 MB
13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.mp4 32.2 MB
21. SQL - Practical Application of the SQL SELECT Statement/16. Using IN - NOT IN.mp4 32.1 MB
21. SQL - Practical Application of the SQL SELECT Statement/13. Operator Precedence and Logical Order.mp4 32.1 MB
23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.srt 32.0 MB
23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.mp4 32.0 MB
29. Tableau - The Tableau Exercise/10. Creating and Formatting a Dashboard.mp4 31.8 MB
29. Tableau - The Tableau Exercise/11. Adding Interactive Filters for Improved Analysis.mp4 31.7 MB
31. Combining SQL and Tableau - Problem 1/6. Exporting Your Output from SQL and Loading it in Tableau.mp4 31.6 MB
42. Python - Python Sequences/5. What is List Slicing.mp4 30.8 MB
36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.mp4 30.6 MB
34. Combining SQL and Tableau - Problem 4/3. Problem 4 Solution in SQL.mp4 30.3 MB
39. Python - Other Python Operators/3. Python's Logical and Identity Operators.mp4 30.1 MB
15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).mp4 30.0 MB
5. Intro to Data and Data Science - Common Data Science Techniques/3. Traditional Data Real-life Examples.mp4 30.0 MB
25. SQL - Stored Routines/1. Defining Stored Routines.mp4 29.9 MB
24. SQL - SQL Subqueries/4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp4 29.8 MB
28. Tableau - Tableau functionalities/4. Creating a Custom Field and Adding Calculations to a Table.mp4 29.7 MB
19. SQL - Best SQL Practices/3. Coding Tips and Best Practices - II.mp4 29.7 MB
43. Python - Using Iterations/8. How to Iterate over Dictionaries.mp4 29.6 MB
47. Integration - Data Preprocessing Step by Step/30. Analysis of the Next 5 Columns in DF.mp4 29.6 MB
5. Intro to Data and Data Science - Common Data Science Techniques/9. Business Intelligence (BI) Real-life Examples.mp4 29.5 MB
42. Python - Python Sequences/6. Working with Tuples.mp4 29.5 MB
10. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp4 29.4 MB
17. Part 3 Relational Database Theory & Introduction to SQL/3. Why use MySQL.mp4 29.3 MB
32. Combining SQL and Tableau - Problem 2/1. Problem 2 Task.mp4 29.0 MB
30. Part 5 Combining SQL and Tableau - Introduction/3. Loading the Database.mp4 28.9 MB
13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).mp4 28.8 MB
29. Tableau - The Tableau Exercise/6. Performing a Numbers Check - Attempt #2.mp4 28.6 MB
29. Tableau - The Tableau Exercise/1. Introduction to the Exercise.mp4 28.5 MB
43. Python - Using Iterations/3. Using While Loops and Incrementing.mp4 28.4 MB
27. Part 4 Introduction to Tableau/2. Let's Download Tableau Public.mp4 28.4 MB
47. Integration - Data Preprocessing Step by Step/28. Adding the Day of the Week Column.mp4 28.0 MB
47. Integration - Data Preprocessing Step by Step/4. Programming vs the Rest of the World.mp4 27.8 MB
43. Python - Using Iterations/6. Combine Conditional Statements and Loops.mp4 27.8 MB
28. Tableau - Tableau functionalities/7. Inserting a Filter.mp4 27.6 MB
10. Statistics - Descriptive Statistics/27. Covariance.mp4 27.5 MB
22. SQL - Expanding on MySQL Aggregate Functions/1. Applying COUNT().mp4 27.4 MB
29. Tableau - The Tableau Exercise/7. First Chart.mp4 27.2 MB
25. SQL - Stored Routines/20. Concluding Stored Routines.mp4 27.1 MB
13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).mp4 26.8 MB
28. Tableau - Tableau functionalities/2. Creating a Table.mp4 25.9 MB
10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4 25.8 MB
43. Python - Using Iterations/4. Use the range() Function to Create Lists.mp4 25.8 MB
47. Integration - Data Preprocessing Step by Step/23. Using Checkpoints to Ease Your Work in Jupyter.mp4 25.7 MB
48. Integration - Integrating Python and SQL/1. How to Use the 'absenteeism_module' in Python - Part I.mp4 25.4 MB
48. Integration - Integrating Python and SQL/8. Executing and SQL SELECT Statement from Python.mp4 25.3 MB
28. Tableau - Tableau functionalities/1. Duplicating a Sheet.mp4 25.3 MB
37. Python - Python Variables and Data Types/1. Python Variables.mp4 25.3 MB
41. Python - Functions/3. Define a Function in Another Way.mp4 25.2 MB
23. SQL - SQL JOINs/18. Using JOIN and WHERE Together.mp4 25.2 MB
29. Tableau - The Tableau Exercise/4. Performing a Numbers Check - Attempt #1.mp4 25.0 MB
21. SQL - Practical Application of the SQL SELECT Statement/53. Using WHERE vs HAVING - Part II.mp4 24.8 MB
17. Part 3 Relational Database Theory & Introduction to SQL/17. The Concept of Relational Schemas Unique Key and Null Values.mp4 24.5 MB
25. SQL - Stored Routines/4. An Example of Stored Procedures Part I.mp4 24.0 MB
34. Combining SQL and Tableau - Problem 4/1. Problem 4 Task.mp4 23.8 MB
43. Python - Using Iterations/1. Using For Loops.mp4 23.6 MB
29. Tableau - The Tableau Exercise/2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.mp4 23.5 MB
40. Python - Conditional Statements/3. Adding an ELSE statement.mp4 23.3 MB
40. Python - Conditional Statements/1. Getting to know the IF Statement.mp4 23.2 MB
47. Integration - Data Preprocessing Step by Step/2. How to Import the Data Set in Python.mp4 23.1 MB
12. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp4 22.8 MB
34. Combining SQL and Tableau - Problem 4/5. Chart 4 Visualizing the Solution in Tableau.mp4 22.7 MB
12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp4 22.5 MB
23. SQL - SQL JOINs/27. Combining Aggregate Functions with Joins.mp4 22.1 MB
5. Intro to Data and Data Science - Common Data Science Techniques/6. Big Data Real-life Examples.mp4 22.1 MB
41. Python - Functions/7. Built-In Functions in Python Worth Knowing.mp4 22.0 MB
21. SQL - Practical Application of the SQL SELECT Statement/4. Using WHERE.mp4 22.0 MB
47. Integration - Data Preprocessing Step by Step/32. A Final Note on this Section.mp4 21.6 MB
21. SQL - Practical Application of the SQL SELECT Statement/46. Using Aliases (AS).mp4 21.3 MB
48. Integration - Integrating Python and SQL/5. Creating a Connection and Cursor.mp4 21.0 MB
28. Tableau - Tableau functionalities/5. Adding Totals and Subtotals.mp4 20.9 MB
47. Integration - Data Preprocessing Step by Step/6. The Approach we will Take to Solve this Exercise.mp4 20.2 MB
40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.mp4 20.0 MB
44. Python - Advanced Python tools/7. How to Import Modules in Python.mp4 19.9 MB
13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).mp4 19.9 MB
10. Statistics - Descriptive Statistics/19. Skewness.mp4 19.4 MB
18. SQL - Install and get to know MySQL/5. Linking GUI with the MySQL Server.mp4 19.2 MB
48. Integration - Integrating Python and SQL/4. Importing 'pymysql' in Python.mp4 19.0 MB
20. SQL - Loading the 'employees' Database/1. Loading the 'employees' Database.mp4 19.0 MB
38. Python - Python Syntax Fundamentals/1. The Arithmetic Operators of Python.mp4 18.9 MB
44. Python - Advanced Python tools/5. What is the Standard Library.mp4 18.0 MB
28. Tableau - Tableau functionalities/3. Creating Custom Fields.mp4 17.2 MB
29. Tableau - The Tableau Exercise/8. Second Chart.mp4 17.1 MB
37. Python - Python Variables and Data Types/3. Understanding Numbers and Boolean Values.mp4 17.1 MB
22. SQL - Expanding on MySQL Aggregate Functions/13. Rounding Numbers with ROUND().mp4 16.8 MB
21. SQL - Practical Application of the SQL SELECT Statement/7. Using AND.mp4 16.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/27. Using BETWEEN - AND.mp4 16.5 MB
41. Python - Functions/5. Use Conditional Statements and Functions Together.mp4 15.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/36. Using SELECT DISTINCT.mp4 15.6 MB
12. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4 15.5 MB
29. Tableau - The Tableau Exercise/9. Third Chart.mp4 15.2 MB
41. Python - Functions/1. How to Define a Function in Python.mp4 14.7 MB
41. Python - Functions/6. How to Create Functions Which Contain a Few Arguments.mp4 14.7 MB
27. Part 4 Introduction to Tableau/3. Connecting Data in Tableau.mp4 14.3 MB
47. Integration - Data Preprocessing Step by Step/20. How to Reorder Columns in a DataFrame in Python.mp4 14.0 MB
21. SQL - Practical Application of the SQL SELECT Statement/30. Using IS NOT NULL - IS NULL.mp4 13.9 MB
10. Statistics - Descriptive Statistics/11. The Histogram.mp4 13.8 MB
36. Part 6 Introduction to Programming with Python/8. Understanding Jupyter’s Interface – Dashboard.mp4 13.8 MB
47. Integration - Data Preprocessing Step by Step/15. A Statistical Perspective on Dummy Variables.mp4 13.8 MB
22. SQL - Expanding on MySQL Aggregate Functions/10. Applying AVG().mp4 13.5 MB
33. Combining SQL and Tableau - Problem 3/1. Problem 3 Task.mp4 13.3 MB
38. Python - Python Syntax Fundamentals/12. How to Structure Your Code with Indentation.mp4 13.2 MB
29. Tableau - The Tableau Exercise/12. Interactive Filters - fix.mp4 12.5 MB
36. Part 6 Introduction to Programming with Python/11. Python 2 vs Python 3.mp4 11.3 MB
38. Python - Python Syntax Fundamentals/7. How to Add Comments.mp4 11.3 MB
22. SQL - Expanding on MySQL Aggregate Functions/4. Applying SUM().mp4 10.5 MB
22. SQL - Expanding on MySQL Aggregate Functions/7. MIN() and MAX().mp4 10.3 MB
39. Python - Other Python Operators/1. Python's Comparison Operators.mp4 10.2 MB
21. SQL - Practical Application of the SQL SELECT Statement/24. Using Wildcard Characters.mp4 9.9 MB
43. Python - Using Iterations/7. All In – Conditional Statements, Functions, and Loops.mp4 9.5 MB
44. Python - Advanced Python tools/3. Using Modules and Packages.mp4 8.5 MB
41. Python - Functions/4. How to use a Function within a Function.mp4 8.1 MB
47. Integration - Data Preprocessing Step by Step/32.2 Absenteeism Exercise - Preprocessing LECTURES.ipynb 7.6 MB
2. Intro to Data and Data Science - The Different Data Science Fields/5.2 365_DataScience.png 7.2 MB
2. Intro to Data and Data Science - The Different Data Science Fields/7.1 365_DataScience.png 7.2 MB
3. Intro to Data and Data Science - The Relationship between Different Fields/1.1 365_DataScience.png 7.2 MB
43. Python - Using Iterations/7. All In – Conditional Statements, Functions, and Loops.srt 7.0 MB
38. Python - Python Syntax Fundamentals/3. What is the Double Equality Sign.mp4 6.0 MB
38. Python - Python Syntax Fundamentals/10. How to Index Elements.mp4 5.9 MB
38. Python - Python Syntax Fundamentals/5. How to Reassign Values.mp4 4.0 MB
28. Tableau - Tableau functionalities/2.2 Tesla sales data.xlsx 2.8 MB
28. Tableau - Tableau functionalities/3.2 Tesla sales data.xlsx 2.8 MB
28. Tableau - Tableau functionalities/4.2 Tesla sales data.xlsx 2.8 MB
28. Tableau - Tableau functionalities/5.2 Tesla sales data.xlsx 2.8 MB
38. Python - Python Syntax Fundamentals/9. Understanding Line Continuation.mp4 2.4 MB
36. Part 6 Introduction to Programming with Python/11.1 Python Introduction - Course Notes.pdf 2.0 MB
37. Python - Python Variables and Data Types/1.3 Python Introduction - Course Notes.pdf 2.0 MB
29. Tableau - The Tableau Exercise/1.2 Audiobook sales.xlsx 1.9 MB
29. Tableau - The Tableau Exercise/10.1 Audiobook sales.xlsx 1.9 MB
29. Tableau - The Tableau Exercise/11.3 Audiobook sales.xlsx 1.9 MB
29. Tableau - The Tableau Exercise/3.1 Audiobook sales.xlsx 1.9 MB
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29. Tableau - The Tableau Exercise/7.1 Audiobook sales.xlsx 1.9 MB
29. Tableau - The Tableau Exercise/8.1 Audiobook sales.xlsx 1.9 MB
29. Tableau - The Tableau Exercise/9.1 Audiobook sales.xlsx 1.9 MB
14. Statistics - Practical Example Inferential Statistics/2.2 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx 1.8 MB
14. Statistics - Practical Example Inferential Statistics/1.1 3.17. Practical example. Confidence intervals_lesson.xlsx 1.7 MB
14. Statistics - Practical Example Inferential Statistics/2.1 3.17.Practical-example.Confidence-intervals-exercise.xlsx 1.7 MB
15. Statistics - Hypothesis Testing/10.1 Online p-value calculator.pdf 1.2 MB
1. Part 1 Introduction/1.1 BI - FAQ.pdf 1.1 MB
15. Statistics - Hypothesis Testing/1.1 Course notes_hypothesis_testing.pdf 656.4 KB
15. Statistics - Hypothesis Testing/4.1 Course notes_hypothesis_testing.pdf 656.4 KB
36. Part 6 Introduction to Programming with Python/9.1 Jupyter_Shortcuts.pdf 589.6 KB
18. SQL - Install and get to know MySQL/4.1 The Client-Server Model.pdf 556.9 KB
19. SQL - Best SQL Practices/1.1 MySQL_Workbench_Shortcuts.pdf 515.2 KB
10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf 482.2 KB
9. Part 2 Statistics - Population and Sample/1.2 Course notes_descriptive_statistics.pdf 482.2 KB
12. Statistics - Inferential Statistics Fundamentals/1.1 Course notes_inferential statistics.pdf 382.3 KB
12. Statistics - Inferential Statistics Fundamentals/2.2 Course notes_inferential statistics.pdf 382.3 KB
2. Intro to Data and Data Science - The Different Data Science Fields/3.1 365_DataScience_Diagram.pdf 323.1 KB
2. Intro to Data and Data Science - The Different Data Science Fields/5.1 365_DataScience_Diagram.pdf 323.1 KB
10. Statistics - Descriptive Statistics/13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf 289.1 KB
10. Statistics - Descriptive Statistics/7.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf 289.1 KB
29. Tableau - The Tableau Exercise/1.1 Audiobook reviews.xlsx 266.9 KB
29. Tableau - The Tableau Exercise/10.2 Audiobook reviews.xlsx 266.9 KB
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29. Tableau - The Tableau Exercise/9.2 Audiobook reviews.xlsx 266.9 KB
20. SQL - Loading the 'employees' Database/1.1 employees_db.pdf 178.8 KB
20. SQL - Loading the 'employees' Database/2.2 employees_db.pdf 178.8 KB
11. Statistics - Practical Example Descriptive Statistics/2.2 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx 156.2 KB
27. Part 4 Introduction to Tableau/3.1 GDP Data.xls 155.5 KB
27. Part 4 Introduction to Tableau/4.1 GDP Data.xls 155.5 KB
27. Part 4 Introduction to Tableau/5.2 GDP Data.xls 155.5 KB
28. Tableau - Tableau functionalities/1.1 GDP Data.xls 155.5 KB
11. Statistics - Practical Example Descriptive Statistics/1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx 146.5 KB
47. Integration - Data Preprocessing Step by Step/1.1 data_preprocessing_homework.pdf 134.5 KB
30. Part 5 Combining SQL and Tableau - Introduction/4.1 employees_mod_db.pdf 129.7 KB
31. Combining SQL and Tableau - Problem 1/1.1 employees_mod_db.pdf 129.7 KB
28. Tableau - Tableau functionalities/3.1 Tableau operators.pdf 121.8 KB
11. Statistics - Practical Example Descriptive Statistics/2.1 2.13.Practical-example.Descriptive-statistics-exercise.xlsx 120.3 KB
48. Integration - Integrating Python and SQL/11.5 Absenteeism Exercise - Integration.ipynb 66.3 KB
48. Integration - Integrating Python and SQL/1.1 Absenteeism Exercise - Integration.ipynb 62.4 KB
28. Tableau - Tableau functionalities/8.1 13. Types of Joins.xlsx 56.4 KB
16. Statistics - Practical Example Hypothesis Testing/1.1 4.10.Hypothesis-testing-section-practical-example.xlsx 51.7 KB
10. Statistics - Descriptive Statistics/7.1 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx 51.1 KB
16. Statistics - Practical Example Hypothesis Testing/2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx 44.0 KB
16. Statistics - Practical Example Hypothesis Testing/2.1 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx 43.4 KB
10. Statistics - Descriptive Statistics/16.1 2.6. Cross table and scatter plot_exercise_solution.xlsx 40.4 KB
10. Statistics - Descriptive Statistics/19.1 2.8. Skewness_lesson.xlsx 34.6 KB
47. Integration - Data Preprocessing Step by Step/1.3 Absenteeism_data.csv 32.0 KB
10. Statistics - Descriptive Statistics/5.1 2.3. Categorical variables. Visualization techniques_lesson.xlsx 30.6 KB
10. Statistics - Descriptive Statistics/29.1 2.11. Covariance_exercise_solution.xlsx 29.5 KB
10. Statistics - Descriptive Statistics/32.2 2.12. Correlation_exercise_solution.xlsx 29.5 KB
10. Statistics - Descriptive Statistics/32.1 2.12. Correlation_exercise.xlsx 29.3 KB
47. Integration - Data Preprocessing Step by Step/1.2 df_preprocessed.csv 29.1 KB
10. Statistics - Descriptive Statistics/14.1 2.6. Cross table and scatter plot.xlsx 26.1 KB
13. Statistics - Inferential Statistics Confidence Intervals/3.2 3.9.The-z-table.xlsx 25.6 KB
13. Statistics - Inferential Statistics Confidence Intervals/4.2 3.9.The-z-table.xlsx 25.6 KB
10. Statistics - Descriptive Statistics/30.1 2.12. Correlation_lesson.xlsx 25.0 KB
10. Statistics - Descriptive Statistics/27.1 2.11. Covariance_lesson.xlsx 24.9 KB
12. Statistics - Inferential Statistics Fundamentals/8.2 3.4.Standard-normal-distribution-exercise-solution.xlsx 24.0 KB
11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.srt 20.8 KB
9. Part 2 Statistics - Population and Sample/1.1 Statistics Glossary.xlsx 20.3 KB
10. Statistics - Descriptive Statistics/29.2 2.11. Covariance_exercise.xlsx 20.2 KB
10. Statistics - Descriptive Statistics/21.1 2.8. Skewness_exercise_solution.xlsx 19.8 KB
12. Statistics - Inferential Statistics Fundamentals/2.1 3.2. What is a distribution_lesson.xlsx 19.5 KB
10. Statistics - Descriptive Statistics/11.1 2.5. The Histogram_lesson.xlsx 18.6 KB
10. Statistics - Descriptive Statistics/13.2 2.5. The Histogram_exercise_solution.xlsx 16.8 KB
10. Statistics - Descriptive Statistics/16.2 2.6. Cross table and scatter plot_exercise.xlsx 16.3 KB
13. Statistics - Inferential Statistics Confidence Intervals/8.2 3.11. The t-table.xlsx 15.8 KB
13. Statistics - Inferential Statistics Confidence Intervals/9.1 3.11. The t-table.xlsx 15.8 KB
10. Statistics - Descriptive Statistics/13.3 2.5. The Histogram_exercise.xlsx 15.5 KB
10. Statistics - Descriptive Statistics/7.3 2.3. Categorical variables. Visualization techniques_exercise.xlsx 15.2 KB
37. Python - Python Variables and Data Types/5. Strings.srt 14.6 KB
15. Statistics - Hypothesis Testing/12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx 14.5 KB
15. Statistics - Hypothesis Testing/15.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx 14.4 KB
13. Statistics - Inferential Statistics Confidence Intervals/13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx 14.2 KB
13. Statistics - Inferential Statistics Confidence Intervals/13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx 13.7 KB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.srt 13.6 KB
10. Statistics - Descriptive Statistics/10.2 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx 13.2 KB
40. Python - Conditional Statements/4. Else if, for Brief – ELIF.srt 13.2 KB
42. Python - Python Sequences/3.3 Help Yourself with Methods - Solution_Py3.ipynb 12.8 KB
15. Statistics - Hypothesis Testing/15.2 4.7. Test for the mean. Dependent samples_exercise.xlsx 12.8 KB
18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.srt 12.6 KB
15. Statistics - Hypothesis Testing/13.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx 12.6 KB
10. Statistics - Descriptive Statistics/26.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx 12.6 KB
10. Statistics - Descriptive Statistics/10.1 2.4.Numerical-variables.Frequency-distribution-table-exercise.xlsx 12.0 KB
12. Statistics - Inferential Statistics Fundamentals/8.1 3.4.Standard-normal-distribution-exercise.xlsx 12.0 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 11.9 KB
10. Statistics - Descriptive Statistics/26.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx 11.6 KB
10. Statistics - Descriptive Statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx 11.4 KB
15. Statistics - Hypothesis Testing/20.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx 11.4 KB
10. Statistics - Descriptive Statistics/18.1 2.7. Mean, median and mode_exercise_solution.xlsx 11.4 KB
15. Statistics - Hypothesis Testing/13.2 4.6. Test-for-the-mean.Population-variance-unknown-exercise.xlsx 11.3 KB
15. Statistics - Hypothesis Testing/17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx 11.3 KB
15. Statistics - Hypothesis Testing/9.1 4.4. Test for the mean. Population variance known_exercise_solution.xlsx 11.2 KB
13. Statistics - Inferential Statistics Confidence Intervals/3.1 3.9. Population variance known, z-score_lesson.xlsx 11.2 KB
13. Statistics - Inferential Statistics Confidence Intervals/4.3 3.9. Population variance known, z-score_exercise_solution.xlsx 11.2 KB
13. Statistics - Inferential Statistics Confidence Intervals/9.3 3.11. Population variance unknown, t-score_exercise_solution.xlsx 11.1 KB
10. Statistics - Descriptive Statistics/23.1 2.9. Variance_exercise_solution.xlsx 11.1 KB
15. Statistics - Hypothesis Testing/9.2 4.4. Test for the mean. Population variance known_exercise.xlsx 11.0 KB
10. Statistics - Descriptive Statistics/24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx 11.0 KB
15. Statistics - Hypothesis Testing/8.1 4.4. Test for the mean. Population variance known_lesson.xlsx 11.0 KB
10. Statistics - Descriptive Statistics/18.2 2.7. Mean, median and mode_exercise.xlsx 10.9 KB
13. Statistics - Inferential Statistics Confidence Intervals/4.1 3.9. Population variance known, z-score_exercise.xlsx 10.8 KB
10. Statistics - Descriptive Statistics/23.2 2.9. Variance_exercise.xlsx 10.8 KB
27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.srt 10.8 KB
13. Statistics - Inferential Statistics Confidence Intervals/8.1 3.11. Population variance unknown, t-score_lesson.xlsx 10.8 KB
15. Statistics - Hypothesis Testing/17.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx 10.8 KB
2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.srt 10.6 KB
5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.srt 10.6 KB
13. Statistics - Inferential Statistics Confidence Intervals/9.2 3.11. Population variance unknown, t-score_exercise.xlsx 10.6 KB
15. Statistics - Hypothesis Testing/20.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx 10.5 KB
5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.srt 10.5 KB
10. Statistics - Descriptive Statistics/17.1 2.7. Mean, median and mode_lesson.xlsx 10.5 KB
13. Statistics - Inferential Statistics Confidence Intervals/12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx 10.5 KB
17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.srt 10.4 KB
45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.srt 10.4 KB
12. Statistics - Inferential Statistics Fundamentals/6.1 3.4. Standard normal distribution_lesson.xlsx 10.4 KB
47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.srt 10.2 KB
13. Statistics - Inferential Statistics Confidence Intervals/15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx 10.1 KB
10. Statistics - Descriptive Statistics/22.1 2.9. Variance_lesson.xlsx 10.1 KB
47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.srt 10.0 KB
49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.srt 10.0 KB
23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.srt 9.9 KB
13. Statistics - Inferential Statistics Confidence Intervals/14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx 9.8 KB
42. Python - Python Sequences/1. Introduction to Lists.srt 9.8 KB
13. Statistics - Inferential Statistics Confidence Intervals/15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx 9.8 KB
13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.srt 9.8 KB
13. Statistics - Inferential Statistics Confidence Intervals/17.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx 9.8 KB
15. Statistics - Hypothesis Testing/14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx 9.8 KB
15. Statistics - Hypothesis Testing/16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx 9.6 KB
49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.srt 9.5 KB
13. Statistics - Inferential Statistics Confidence Intervals/16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx 9.5 KB
10. Statistics - Descriptive Statistics/21.2 2.8. Skewness_exercise.xlsx 9.5 KB
15. Statistics - Hypothesis Testing/18.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx 9.3 KB
13. Statistics - Inferential Statistics Confidence Intervals/17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx 9.2 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 9.0 KB
41. Python - Functions/2. How to Create a Function with a Parameter.srt 9.0 KB
36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.srt 8.8 KB
5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.srt 8.7 KB
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.srt 8.7 KB
5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.srt 8.6 KB
24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.srt 8.6 KB
45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.srt 8.5 KB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.srt 8.5 KB
42. Python - Python Sequences/7. Python Dictionaries.srt 8.4 KB
47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.srt 8.4 KB
42. Python - Python Sequences/3. Using Methods in Python.srt 8.4 KB
47. Integration - Data Preprocessing Step by Step/29.2 Absenteeism Exercise - Removing the Date Column - SOLUTION.ipynb 8.3 KB
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.srt 8.1 KB
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.srt 8.0 KB
47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.srt 8.0 KB
43. Python - Using Iterations/8. How to Iterate over Dictionaries.srt 7.9 KB
48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.srt 7.9 KB
27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.srt 7.8 KB
48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.srt 7.8 KB
47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.srt 7.8 KB
36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.srt 7.8 KB
43. Python - Using Iterations/4. Use the range() Function to Create Lists.srt 7.7 KB
48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.srt 7.7 KB
40. Python - Conditional Statements/1. Getting to know the IF Statement.srt 7.6 KB
37. Python - Python Variables and Data Types/5.2 Strings - Lecture_Py3.ipynb 7.6 KB
25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.srt 7.5 KB
10. Statistics - Descriptive Statistics/22. Variance.srt 7.5 KB
48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.srt 7.5 KB
31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.srt 7.5 KB
43. Python - Using Iterations/6. Combine Conditional Statements and Loops.srt 7.5 KB
25. SQL - Stored Routines/13. SQL Variables.srt 7.4 KB
32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.srt 7.3 KB
47. Integration - Data Preprocessing Step by Step/29.1 Absenteeism Exercise - Preprocessing - ChP - df_date_reason_mod.ipynb 7.3 KB
25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.srt 7.3 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 7.3 KB
49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.srt 7.2 KB
31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.srt 7.1 KB
30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.srt 7.1 KB
47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.srt 7.0 KB
29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.srt 7.0 KB
15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.srt 7.0 KB
17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.srt 7.0 KB
36. Part 6 Introduction to Programming with Python/3. Why use Python.srt 7.0 KB
42. Python - Python Sequences/6. Working with Tuples.srt 6.9 KB
36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.srt 6.9 KB
21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.srt 6.9 KB
23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.srt 6.9 KB
26. SQL - The CASE Statement/1. The SQL CASE Statement.srt 6.9 KB
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31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.srt 6.8 KB
23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.srt 6.8 KB
17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.srt 6.7 KB
18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.srt 6.7 KB
19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.srt 6.7 KB
45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.srt 6.7 KB
17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.srt 6.7 KB
35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.srt 6.7 KB
10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.srt 6.7 KB
17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.srt 6.7 KB
21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.srt 6.7 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 6.6 KB
48. Integration - Integrating Python and SQL/1.3 absenteeism_module.py 6.6 KB
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10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.srt 6.6 KB
43. Python - Using Iterations/1. Using For Loops.srt 6.6 KB
29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.srt 6.5 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 6.5 KB
23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.srt 6.4 KB
41. Python - Functions/3. Define a Function in Another Way.srt 6.4 KB
18. SQL - Install and get to know MySQL/8. Familiarize Yourself with the MySQL Interface.srt 6.3 KB
10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.srt 6.3 KB
40. Python - Conditional Statements/3. Adding an ELSE statement.srt 6.3 KB
15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.srt 6.3 KB
30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.srt 6.2 KB
40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.srt 6.2 KB
17. Part 3 Relational Database Theory & Introduction to SQL/19. The Concept of Relational Schemas Relationships Between Tables.srt 6.2 KB
42. Python - Python Sequences/7.2 Dictionaries - Solution_Py3.ipynb 6.2 KB
13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.srt 6.1 KB
25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.srt 6.1 KB
28. Tableau - Tableau functionalities/2. Creating a Table.srt 6.1 KB
44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).srt 6.1 KB
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37. Python - Python Variables and Data Types/1. Python Variables.srt 6.1 KB
17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.srt 6.0 KB
48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.srt 6.0 KB
10. Statistics - Descriptive Statistics/1. Types of Data.srt 6.0 KB
45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.srt 5.9 KB
43. Python - Using Iterations/3. Using While Loops and Incrementing.srt 5.9 KB
21. SQL - Practical Application of the SQL SELECT Statement/56. Using LIMIT.srt 5.9 KB
39. Python - Other Python Operators/3.3 Logical and Identity Operators - Lecture_Py3.ipynb 5.9 KB
12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.srt 5.9 KB
47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.srt 5.8 KB
33. Combining SQL and Tableau - Problem 3/5. Chart 3 Visualizing the Solution in Tableau.srt 5.8 KB
21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.srt 5.8 KB
39. Python - Other Python Operators/3. Python's Logical and Identity Operators.srt 5.8 KB
25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.srt 5.7 KB
15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.srt 5.7 KB
10. Statistics - Descriptive Statistics/17. Mean, median and mode.srt 5.7 KB
23. SQL - SQL JOINs/10. The Functionality of LEFT JOIN - Part I.srt 5.7 KB
13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.srt 5.7 KB
47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.srt 5.7 KB
5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.srt 5.7 KB
15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.srt 5.7 KB
12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.srt 5.6 KB
31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.srt 5.6 KB
42. Python - Python Sequences/5. What is List Slicing.srt 5.5 KB
41. Python - Functions/7.2 Notable Built-In Functions in Python - Solution_Py3.ipynb 5.5 KB
15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).srt 5.5 KB
45. Part 7 Integration - Software Integration/7. Communication through Text Files.srt 5.5 KB
9. Part 2 Statistics - Population and Sample/1. Population vs sample.srt 5.5 KB
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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/18. EXERCISE - Concatenation in Python.html 189 bytes
21. SQL - Practical Application of the SQL SELECT Statement/44. Using ORDER BY - Solution.html 186 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
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
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/11.1 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
25. SQL - Stored Routines/11. Create Stored Procedures with an Output Parameter - Exercise.html 152 bytes
28. Tableau - Tableau functionalities/2.1 Creating a table - Tableau Public Link.html 151 bytes
29. Tableau - The Tableau Exercise/10.3 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/5.1 Addint totals and subtotals - Tableau Public Link.html 150 bytes
29. Tableau - The Tableau Exercise/4.3 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/8.3 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/7.2 First chart - Tableau Public Link.html 148 bytes
29. Tableau - The Tableau Exercise/9.3 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/5.2 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
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
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
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
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

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