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11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.mp4 160.46 MB
17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.mp4 156.76 MB
5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.mp4 138.39 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 126.74 MB
5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.mp4 125.05 MB
45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.mp4 115.63 MB
5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.mp4 111.63 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 108.96 MB
17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.mp4 107.69 MB
45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4 104.16 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 103.38 MB
17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.mp4 102.85 MB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 102.63 MB
5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 99.27 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 92.71 MB
15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.mp4 92.07 MB
17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.mp4 90.49 MB
23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.mp4 89.86 MB
5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 89.84 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 87.44 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 82.52 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 81.39 MB
47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.mp4 81.13 MB
13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4 78.18 MB
48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.mp4 76.29 MB
5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.mp4 75.46 MB
36. Part 6 Introduction to Programming with Python/3. Why use Python.mp4 75.09 MB
47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.mp4 74.55 MB
8. Intro to Data and Data Science - Dispelling Common Misconceptions/1. Dispelling common Misconceptions.mp4 72.71 MB
10. Statistics - Descriptive Statistics/1. Types of Data.mp4 72.48 MB
24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.mp4 71.65 MB
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4 70.44 MB
17. Part 3 Relational Database Theory & Introduction to SQL/1. Why use SQL.mp4 70.06 MB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4 69.37 MB
45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4 69.08 MB
2. Intro to Data and Data Science - The Different Data Science Fields/7. An Overview of our Data Science Infographic.mp4 67.83 MB
23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.mp4 67.08 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 64.48 MB
45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.mp4 63.73 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 61.83 MB
47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.mp4 61.69 MB
12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4 61.65 MB
45. Part 7 Integration - Software Integration/7. Communication through Text Files.mp4 60.34 MB
26. SQL - The CASE Statement/1. The SQL CASE Statement.mp4 59.42 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.mp4 59.3 MB
13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4 59.22 MB
27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.mp4 58.96 MB
48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.mp4 58.92 MB
36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.mp4 58.52 MB
48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.mp4 58.22 MB
9. Part 2 Statistics - Population and Sample/1. Population vs sample.mp4 58.08 MB
47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.mp4 57.27 MB
13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence interval clarifications.mp4 57.03 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.mp4 56.49 MB
35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp4 56.21 MB
15. Statistics - Hypothesis Testing/10. p-value.mp4 55.93 MB
1. Part 1 Introduction/1. What Does the Course Cover.mp4 55.09 MB
23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.mp4 54.87 MB
25. SQL - Stored Routines/13. SQL Variables.mp4 54.56 MB
10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4 54.35 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 54.34 MB
48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.mp4 54.33 MB
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.mp4 54.27 MB
21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.mp4 53.55 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 53.36 MB
48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.mp4 52.46 MB
46. Integration - What is contained in this Course/1. Solving a Business Exercise with Python, SQL, and Tableau.mp4 52.31 MB
27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.mp4 52.12 MB
36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.mp4 51.02 MB
10. Statistics - Descriptive Statistics/22. Variance.mp4 50.95 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 50.65 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 49.95 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 49.36 MB
25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.mp4 48.76 MB
12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp4 47.85 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 47.71 MB
23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.mp4 47.68 MB
21. SQL - Practical Application of the SQL SELECT Statement/56. Using LIMIT.mp4 47.26 MB
23. SQL - SQL JOINs/9. Duplicate Rows.mp4 46.52 MB
31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.mp4 45.58 MB
10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp4 45.15 MB
28. Tableau - Tableau functionalities/8. Working with Joins in Tableau.mp4 45.12 MB
36. Part 6 Introduction to Programming with Python/5. Why use Jupyter.mp4 44.3 MB
17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.mp4 43.97 MB
15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.mp4 43.96 MB
23. SQL - SQL JOINs/8. Extra Info on Using Joins.mp4 43.88 MB
21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.mp4 43.61 MB
31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.mp4 43.18 MB
17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.mp4 42.91 MB
5. Intro to Data and Data Science - Common Data Science Techniques/12. Traditional Methods Real-life Examples.mp4 42.84 MB
23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.srt 42.3 MB
23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.mp4 42.29 MB
23. SQL - SQL JOINs/1. What are JOINs.mp4 42.2 MB
29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.mp4 42.18 MB
25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.mp4 42.14 MB
42. Python - Python Sequences/7. Python Dictionaries.srt 41.7 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 41.67 MB
23. SQL - SQL JOINs/28. JOIN More than Two Tables.mp4 41.44 MB
21. SQL - Practical Application of the SQL SELECT Statement/42. Using ORDER BY.mp4 41.28 MB
21. SQL - Practical Application of the SQL SELECT Statement/33. Using Other Comparison Operators.mp4 41.22 MB
31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.mp4 41.15 MB
46. Integration - What is contained in this Course/3. Presenting the Data Set.mp4 40.87 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.mp4 40.63 MB
47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.mp4 40.57 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 40.25 MB
15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.mp4 40.18 MB
10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.mp4 39.79 MB
32. Combining SQL and Tableau - Problem 2/3. Problem 2 Solution in SQL.mp4 39.65 MB
47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp4 39.61 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 39.06 MB
47. Integration - Data Preprocessing Step by Step/17. Concatenation in Python.mp4 38.75 MB
10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4 38.43 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 37.82 MB
42. Python - Python Sequences/1. Introduction to Lists.mp4 37.79 MB
42. Python - Python Sequences/3. Using Methods in Python.mp4 37.62 MB
24. SQL - SQL Subqueries/1. SQL Subqueries with IN Embedded Inside WHERE.mp4 37.45 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 36.85 MB
28. Tableau - Tableau functionalities/6. Adding a Custom Calculation.mp4 36.48 MB
15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).mp4 36.36 MB
21. SQL - Practical Application of the SQL SELECT Statement/21. Using LIKE - NOT LIKE.mp4 36.08 MB
21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.mp4 35.94 MB
13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.mp4 35.39 MB
21. SQL - Practical Application of the SQL SELECT Statement/52. Using WHERE vs HAVING - Part I.srt 34.89 MB
21. SQL - Practical Application of the SQL SELECT Statement/52. Using WHERE vs HAVING - Part I.mp4 34.89 MB
25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.mp4 34.24 MB
31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.mp4 33.81 MB
44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).mp4 33.59 MB
33. Combining SQL and Tableau - Problem 3/3. Problem 3 Solution in SQL.mp4 33.26 MB
21. SQL - Practical Application of the SQL SELECT Statement/10. Using OR.mp4 33.22 MB
21. SQL - Practical Application of the SQL SELECT Statement/49. Using HAVING.mp4 33.03 MB
48. Integration - Integrating Python and SQL/11. Sending Data from Jupyter to Workbench - Part III.mp4 32.83 MB
25. SQL - Stored Routines/10. Create Stored Procedures with an Output Parameter.mp4 32.51 MB
25. SQL - Stored Routines/8. Creating a Procedure in MySQL Another Way.mp4 32.43 MB
29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.mp4 32.31 MB
23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.mp4 32.22 MB
13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.mp4 32.18 MB
21. SQL - Practical Application of the SQL SELECT Statement/16. Using IN - NOT IN.mp4 32.13 MB
21. SQL - Practical Application of the SQL SELECT Statement/13. Operator Precedence and Logical Order.mp4 32.06 MB
23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.mp4 32 MB
29. Tableau - The Tableau Exercise/10. Creating and Formatting a Dashboard.mp4 31.83 MB
29. Tableau - The Tableau Exercise/11. Adding Interactive Filters for Improved Analysis.mp4 31.64 MB
31. Combining SQL and Tableau - Problem 1/6. Exporting Your Output from SQL and Loading it in Tableau.mp4 31.55 MB
42. Python - Python Sequences/5. What is List Slicing.mp4 30.78 MB
36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.mp4 30.59 MB
34. Combining SQL and Tableau - Problem 4/3. Problem 4 Solution in SQL.mp4 30.34 MB
39. Python - Other Python Operators/3. Python's Logical and Identity Operators.mp4 30.07 MB
15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).mp4 29.96 MB
5. Intro to Data and Data Science - Common Data Science Techniques/3. Traditional Data Real-life Examples.mp4 29.95 MB
25. SQL - Stored Routines/1. Defining Stored Routines.mp4 29.92 MB
24. SQL - SQL Subqueries/4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp4 29.77 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 29.69 MB
43. Python - Using Iterations/8. How to Iterate over Dictionaries.mp4 29.65 MB
47. Integration - Data Preprocessing Step by Step/30. Analysis of the Next 5 Columns in DF.mp4 29.56 MB
5. Intro to Data and Data Science - Common Data Science Techniques/9. Business Intelligence (BI) Real-life Examples.srt 29.52 MB
5. Intro to Data and Data Science - Common Data Science Techniques/9. Business Intelligence (BI) Real-life Examples.mp4 29.52 MB
42. Python - Python Sequences/6. Working with Tuples.mp4 29.49 MB
10. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp4 29.38 MB
17. Part 3 Relational Database Theory & Introduction to SQL/3. Why use MySQL.mp4 29.29 MB
32. Combining SQL and Tableau - Problem 2/1. Problem 2 Task.mp4 29.01 MB
30. Part 5 Combining SQL and Tableau - Introduction/3. Loading the Database.mp4 28.86 MB
13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).mp4 28.76 MB
29. Tableau - The Tableau Exercise/1. Introduction to the Exercise.mp4 28.47 MB
43. Python - Using Iterations/3. Using While Loops and Incrementing.mp4 28.44 MB
27. Part 4 Introduction to Tableau/2. Let's Download Tableau Public.mp4 28.39 MB
47. Integration - Data Preprocessing Step by Step/28. Adding the Day of the Week Column.mp4 27.99 MB
47. Integration - Data Preprocessing Step by Step/4. Programming vs the Rest of the World.mp4 27.83 MB
43. Python - Using Iterations/6. Combine Conditional Statements and Loops.mp4 27.78 MB
28. Tableau - Tableau functionalities/7. Inserting a Filter.mp4 27.62 MB
10. Statistics - Descriptive Statistics/27. Covariance.mp4 27.52 MB
22. SQL - Expanding on MySQL Aggregate Functions/1. Applying COUNT().mp4 27.38 MB
29. Tableau - The Tableau Exercise/7. First Chart.mp4 27.23 MB
25. SQL - Stored Routines/20. Concluding Stored Routines.mp4 27.13 MB
13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).mp4 26.83 MB
28. Tableau - Tableau functionalities/2. Creating a Table.mp4 26.2 MB
10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4 25.83 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 25.72 MB
48. Integration - Integrating Python and SQL/1. How to Use the 'absenteeism_module' in Python - Part I.mp4 25.45 MB
48. Integration - Integrating Python and SQL/8. Executing and SQL SELECT Statement from Python.mp4 25.36 MB
28. Tableau - Tableau functionalities/1. Duplicating a Sheet.mp4 25.33 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 25.25 MB
23. SQL - SQL JOINs/18. Using JOIN and WHERE Together.mp4 25.19 MB
29. Tableau - The Tableau Exercise/4. Performing a Numbers Check - Attempt #1.mp4 25.05 MB
21. SQL - Practical Application of the SQL SELECT Statement/53. Using WHERE vs HAVING - Part II.mp4 24.83 MB
17. Part 3 Relational Database Theory & Introduction to SQL/17. The Concept of Relational Schemas Unique Key and Null Values.mp4 24.51 MB
25. SQL - Stored Routines/4. An Example of Stored Procedures Part I.mp4 23.96 MB
34. Combining SQL and Tableau - Problem 4/1. Problem 4 Task.mp4 23.74 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 23.45 MB
40. Python - Conditional Statements/3. Adding an ELSE statement.mp4 23.28 MB
40. Python - Conditional Statements/1. Getting to know the IF Statement.mp4 23.24 MB
47. Integration - Data Preprocessing Step by Step/2. How to Import the Data Set in Python.mp4 23.09 MB
12. Statistics - Inferential Statistics Fundamentals/11. Standard error.srt 22.76 MB
12. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp4 22.75 MB
34. Combining SQL and Tableau - Problem 4/5. Chart 4 Visualizing the Solution in Tableau.mp4 22.71 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 22.15 MB
5. Intro to Data and Data Science - Common Data Science Techniques/6. Big Data Real-life Examples.mp4 22.06 MB
41. Python - Functions/7. Built-In Functions in Python Worth Knowing.mp4 22.02 MB
21. SQL - Practical Application of the SQL SELECT Statement/4. Using WHERE.mp4 21.97 MB
47. Integration - Data Preprocessing Step by Step/32. A Final Note on this Section.mp4 21.61 MB
21. SQL - Practical Application of the SQL SELECT Statement/46. Using Aliases (AS).mp4 21.28 MB
48. Integration - Integrating Python and SQL/5. Creating a Connection and Cursor.mp4 20.98 MB
28. Tableau - Tableau functionalities/5. Adding Totals and Subtotals.mp4 20.9 MB
29. Tableau - The Tableau Exercise/6. Performing a Numbers Check - Attempt #2.mp4 20.47 MB
47. Integration - Data Preprocessing Step by Step/6. The Approach we will Take to Solve this Exercise.mp4 20.16 MB
40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.mp4 20 MB
44. Python - Advanced Python tools/7. How to Import Modules in Python.mp4 19.93 MB
13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).mp4 19.92 MB
10. Statistics - Descriptive Statistics/19. Skewness.mp4 19.44 MB
18. SQL - Install and get to know MySQL/5. Linking GUI with the MySQL Server.mp4 19.22 MB
48. Integration - Integrating Python and SQL/4. Importing 'pymysql' in Python.mp4 19.05 MB
20. SQL - Loading the 'employees' Database/1. Loading the 'employees' Database.mp4 19 MB
38. Python - Python Syntax Fundamentals/1. The Arithmetic Operators of Python.mp4 18.92 MB
38. Python - Python Syntax Fundamentals/1. The Arithmetic Operators of Python.srt 18.57 MB
44. Python - Advanced Python tools/5. What is the Standard Library.mp4 18.04 MB
28. Tableau - Tableau functionalities/3. Creating Custom Fields.mp4 17.21 MB
29. Tableau - The Tableau Exercise/8. Second Chart.mp4 17.08 MB
37. Python - Python Variables and Data Types/3. Understanding Numbers and Boolean Values.mp4 17.06 MB
22. SQL - Expanding on MySQL Aggregate Functions/13. Rounding Numbers with ROUND().mp4 16.81 MB
21. SQL - Practical Application of the SQL SELECT Statement/7. Using AND.mp4 16.73 MB
21. SQL - Practical Application of the SQL SELECT Statement/27. Using BETWEEN - AND.mp4 16.47 MB
41. Python - Functions/5. Use Conditional Statements and Functions Together.mp4 15.69 MB
21. SQL - Practical Application of the SQL SELECT Statement/36. Using SELECT DISTINCT.mp4 15.62 MB
12. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4 15.5 MB
29. Tableau - The Tableau Exercise/9. Third Chart.mp4 15.24 MB
41. Python - Functions/1. How to Define a Function in Python.mp4 14.76 MB
41. Python - Functions/6. How to Create Functions Which Contain a Few Arguments.mp4 14.72 MB
27. Part 4 Introduction to Tableau/3. Connecting Data in Tableau.mp4 14.28 MB
47. Integration - Data Preprocessing Step by Step/20. How to Reorder Columns in a DataFrame in Python.mp4 14.05 MB
21. SQL - Practical Application of the SQL SELECT Statement/30. Using IS NOT NULL - IS NULL.mp4 13.96 MB
36. Part 6 Introduction to Programming with Python/8. Understanding Jupyter’s Interface – Dashboard.mp4 13.8 MB
10. Statistics - Descriptive Statistics/11. The Histogram.mp4 13.8 MB
47. Integration - Data Preprocessing Step by Step/15. A Statistical Perspective on Dummy Variables.mp4 13.77 MB
22. SQL - Expanding on MySQL Aggregate Functions/10. Applying AVG().mp4 13.53 MB
33. Combining SQL and Tableau - Problem 3/1. Problem 3 Task.mp4 13.31 MB
38. Python - Python Syntax Fundamentals/12. How to Structure Your Code with Indentation.mp4 13.15 MB
29. Tableau - The Tableau Exercise/12. Interactive Filters - fix.mp4 12.48 MB
36. Part 6 Introduction to Programming with Python/11. Python 2 vs Python 3.mp4 11.28 MB
38. Python - Python Syntax Fundamentals/7. How to Add Comments.mp4 11.27 MB
22. SQL - Expanding on MySQL Aggregate Functions/4. Applying SUM().mp4 10.52 MB
22. SQL - Expanding on MySQL Aggregate Functions/7. MIN() and MAX().mp4 10.28 MB
39. Python - Other Python Operators/1. Python's Comparison Operators.mp4 10.18 MB
21. SQL - Practical Application of the SQL SELECT Statement/24. Using Wildcard Characters.mp4 9.87 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 8.51 MB
41. Python - Functions/4. How to use a Function within a Function.mp4 8.13 MB
2. Intro to Data and Data Science - The Different Data Science Fields/5.2 365_DataScience.png.png 7.24 MB
2. Intro to Data and Data Science - The Different Data Science Fields/7.1 365_DataScience.png.png 7.24 MB
3. Intro to Data and Data Science - The Relationship between Different Fields/1.1 365_DataScience.png.png 7.24 MB
38. Python - Python Syntax Fundamentals/3. What is the Double Equality Sign.mp4 6 MB
38. Python - Python Syntax Fundamentals/10. How to Index Elements.mp4 5.94 MB
38. Python - Python Syntax Fundamentals/5. How to Reassign Values.mp4 4 MB
28. Tableau - Tableau functionalities/4.1 Tesla sales data.xlsx.xlsx 2.76 MB
28. Tableau - Tableau functionalities/2.2 Tesla sales data.xlsx.xlsx 2.75 MB
28. Tableau - Tableau functionalities/3.1 Tesla sales data.xlsx.xlsx 2.75 MB
28. Tableau - Tableau functionalities/5.2 Tesla sales data.xlsx.xlsx 2.75 MB
38. Python - Python Syntax Fundamentals/9. Understanding Line Continuation.mp4 2.36 MB
36. Part 6 Introduction to Programming with Python/11.1 Python Introduction - Course Notes.pdf.pdf 2.03 MB
37. Python - Python Variables and Data Types/1.1 Python Introduction - Course Notes.pdf.pdf 2.03 MB
29. Tableau - The Tableau Exercise/1.2 Audiobook sales.xlsx.xlsx 1.87 MB
29. Tableau - The Tableau Exercise/10.2 Audiobook sales.xlsx.xlsx 1.87 MB
29. Tableau - The Tableau Exercise/11.3 Audiobook sales.xlsx.xlsx 1.87 MB
29. Tableau - The Tableau Exercise/3.1 Audiobook sales.xlsx.xlsx 1.87 MB
29. Tableau - The Tableau Exercise/4.1 Audiobook sales.xlsx.xlsx 1.87 MB
29. Tableau - The Tableau Exercise/5.2 Audiobook sales.xlsx.xlsx 1.87 MB
29. Tableau - The Tableau Exercise/6.2 Audiobook sales.xlsx.xlsx 1.87 MB
29. Tableau - The Tableau Exercise/7.2 Audiobook sales.xlsx.xlsx 1.87 MB
29. Tableau - The Tableau Exercise/8.1 Audiobook sales.xlsx.xlsx 1.87 MB
29. Tableau - The Tableau Exercise/9.1 Audiobook sales.xlsx.xlsx 1.87 MB
14. Statistics - Practical Example Inferential Statistics/2.2 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx 1.82 MB
14. Statistics - Practical Example Inferential Statistics/1.1 3.17. Practical example. Confidence intervals_lesson.xlsx.xlsx 1.74 MB
14. Statistics - Practical Example Inferential Statistics/2.1 3.17.Practical-example.Confidence-intervals-exercise.xlsx.xlsx 1.73 MB
15. Statistics - Hypothesis Testing/10.1 Online p-value calculator.pdf.pdf 1.15 MB
1. Part 1 Introduction/1.1 BI - FAQ.pdf.pdf 1.11 MB
15. Statistics - Hypothesis Testing/1.1 Course notes_hypothesis_testing.pdf.pdf 648.2 KB
15. Statistics - Hypothesis Testing/4.1 Course notes_hypothesis_testing.pdf.pdf 648.2 KB
36. Part 6 Introduction to Programming with Python/9.1 Jupyter_Shortcuts.pdf.pdf 589.59 KB
18. SQL - Install and get to know MySQL/4.1 The Client-Server Model.pdf.pdf 556.9 KB
19. SQL - Best SQL Practices/1.1 MySQL_Workbench_Shortcuts.pdf.pdf 515.23 KB
10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf.pdf 482.21 KB
9. Part 2 Statistics - Population and Sample/1.2 Course notes_descriptive_statistics.pdf.pdf 482.21 KB
12. Statistics - Inferential Statistics Fundamentals/1.1 Course notes_inferential statistics.pdf.pdf 382.32 KB
12. Statistics - Inferential Statistics Fundamentals/2.2 Course notes_inferential statistics.pdf.pdf 382.32 KB
2. Intro to Data and Data Science - The Different Data Science Fields/3.1 365_DataScience_Diagram.pdf.pdf 323.08 KB
2. Intro to Data and Data Science - The Different Data Science Fields/5.1 365_DataScience_Diagram.pdf.pdf 323.08 KB
10. Statistics - Descriptive Statistics/13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf 289.12 KB
10. Statistics - Descriptive Statistics/7.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf 289.12 KB
29. Tableau - The Tableau Exercise/1.1 Audiobook reviews.xlsx.xlsx 266.85 KB
29. Tableau - The Tableau Exercise/10.3 Audiobook reviews.xlsx.xlsx 266.85 KB
29. Tableau - The Tableau Exercise/11.1 Audiobook reviews.xlsx.xlsx 266.85 KB
29. Tableau - The Tableau Exercise/3.2 Audiobook reviews.xlsx.xlsx 266.85 KB
29. Tableau - The Tableau Exercise/4.3 Audiobook reviews.xlsx.xlsx 266.85 KB
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29. Tableau - The Tableau Exercise/6.3 Audiobook reviews.xlsx.xlsx 266.85 KB
29. Tableau - The Tableau Exercise/7.1 Audiobook reviews.xlsx.xlsx 266.85 KB
29. Tableau - The Tableau Exercise/8.2 Audiobook reviews.xlsx.xlsx 266.85 KB
29. Tableau - The Tableau Exercise/9.2 Audiobook reviews.xlsx.xlsx 266.85 KB
20. SQL - Loading the 'employees' Database/1.1 employees_db.pdf.pdf 178.82 KB
20. SQL - Loading the 'employees' Database/2.2 employees_db.pdf.pdf 178.82 KB
27. Part 4 Introduction to Tableau/3.1 GDP Data.xls.xls 155.5 KB
27. Part 4 Introduction to Tableau/4.1 GDP Data.xls.xls 155.5 KB
27. Part 4 Introduction to Tableau/5.1 GDP Data.xls.xls 155.5 KB
28. Tableau - Tableau functionalities/1.1 GDP Data.xls.xls 155.5 KB
11. Statistics - Practical Example Descriptive Statistics/1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx.xlsx 146.51 KB
11. Statistics - Practical Example Descriptive Statistics/2.2 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx 146.22 KB
47. Integration - Data Preprocessing Step by Step/1.3 data_preprocessing_homework.pdf.pdf 134.47 KB
30. Part 5 Combining SQL and Tableau - Introduction/4.2 employees_mod_db.pdf.pdf 129.65 KB
31. Combining SQL and Tableau - Problem 1/1.1 employees_mod_db.pdf.pdf 129.65 KB
28. Tableau - Tableau functionalities/3.2 Tableau operators.pdf.pdf 121.83 KB
11. Statistics - Practical Example Descriptive Statistics/2.1 2.13.Practical-example.Descriptive-statistics-exercise.xlsx.xlsx 120.28 KB
28. Tableau - Tableau functionalities/8.1 13. Types of Joins.xlsx.xlsx 56.39 KB
16. Statistics - Practical Example Hypothesis Testing/1.1 4.10.Hypothesis-testing-section-practical-example.xlsx.xlsx 51.71 KB
16. Statistics - Practical Example Hypothesis Testing/2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx 44.04 KB
16. Statistics - Practical Example Hypothesis Testing/2.1 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx.xlsx 43.38 KB
10. Statistics - Descriptive Statistics/7.3 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx.xlsx 41.11 KB
10. Statistics - Descriptive Statistics/16.1 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx 40.44 KB
10. Statistics - Descriptive Statistics/19.1 2.8. Skewness_lesson.xlsx.xlsx 34.63 KB
47. Integration - Data Preprocessing Step by Step/1.1 Absenteeism_data.csv.csv 32.05 KB
10. Statistics - Descriptive Statistics/5.1 2.3. Categorical variables. Visualization techniques_lesson.xlsx.xlsx 30.58 KB
10. Statistics - Descriptive Statistics/29.2 2.11. Covariance_exercise_solution.xlsx.xlsx 29.51 KB
10. Statistics - Descriptive Statistics/32.1 2.12. Correlation_exercise_solution.xlsx.xlsx 29.48 KB
10. Statistics - Descriptive Statistics/32.2 2.12. Correlation_exercise.xlsx.xlsx 29.3 KB
47. Integration - Data Preprocessing Step by Step/1.2 df_preprocessed.csv.csv 29.11 KB
10. Statistics - Descriptive Statistics/14.1 2.6. Cross table and scatter plot.xlsx.xlsx 26.12 KB
13. Statistics - Inferential Statistics Confidence Intervals/3.2 3.9.The-z-table.xlsx.xlsx 25.58 KB
13. Statistics - Inferential Statistics Confidence Intervals/4.3 3.9.The-z-table.xlsx.xlsx 25.58 KB
10. Statistics - Descriptive Statistics/30.1 2.12. Correlation_lesson.xlsx.xlsx 24.99 KB
10. Statistics - Descriptive Statistics/27.1 2.11. Covariance_lesson.xlsx.xlsx 24.92 KB
12. Statistics - Inferential Statistics Fundamentals/8.2 3.4.Standard-normal-distribution-exercise-solution.xlsx.xlsx 24.04 KB
11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.srt 20.78 KB
9. Part 2 Statistics - Population and Sample/1.1 Statistics Glossary.xlsx.xlsx 20.26 KB
10. Statistics - Descriptive Statistics/29.1 2.11. Covariance_exercise.xlsx.xlsx 20.23 KB
10. Statistics - Descriptive Statistics/21.1 2.8. Skewness_exercise_solution.xlsx.xlsx 19.78 KB
12. Statistics - Inferential Statistics Fundamentals/2.1 3.2. What is a distribution_lesson.xlsx.xlsx 19.46 KB
10. Statistics - Descriptive Statistics/11.1 2.5. The Histogram_lesson.xlsx.xlsx 18.63 KB
10. Statistics - Descriptive Statistics/13.2 2.5. The Histogram_exercise_solution.xlsx.xlsx 16.83 KB
10. Statistics - Descriptive Statistics/16.2 2.6. Cross table and scatter plot_exercise.xlsx.xlsx 16.28 KB
13. Statistics - Inferential Statistics Confidence Intervals/8.1 3.11. The t-table.xlsx.xlsx 15.85 KB
13. Statistics - Inferential Statistics Confidence Intervals/9.3 3.11. The t-table.xlsx.xlsx 15.85 KB
10. Statistics - Descriptive Statistics/13.3 2.5. The Histogram_exercise.xlsx.xlsx 15.5 KB
10. Statistics - Descriptive Statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx 15.24 KB
37. Python - Python Variables and Data Types/5. Strings.srt 14.55 KB
15. Statistics - Hypothesis Testing/12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx 14.54 KB
15. Statistics - Hypothesis Testing/15.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx 14.4 KB
13. Statistics - Inferential Statistics Confidence Intervals/13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx.xlsx 14.24 KB
13. Statistics - Inferential Statistics Confidence Intervals/13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx 13.74 KB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.srt 13.64 KB
40. Python - Conditional Statements/4. Else if, for Brief – ELIF.srt 13.19 KB
10. Statistics - Descriptive Statistics/10.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx.xlsx 13.15 KB
15. Statistics - Hypothesis Testing/15.2 4.7. Test for the mean. Dependent samples_exercise.xlsx.xlsx 12.8 KB
18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.srt 12.65 KB
15. Statistics - Hypothesis Testing/13.2 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx.xlsx 12.63 KB
10. Statistics - Descriptive Statistics/26.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx.xlsx 12.6 KB
12. Statistics - Inferential Statistics Fundamentals/8.1 3.4.Standard-normal-distribution-exercise.xlsx.xlsx 11.99 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 11.87 KB
10. Statistics - Descriptive Statistics/10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx 11.75 KB
10. Statistics - Descriptive Statistics/26.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx.xlsx 11.61 KB
10. Statistics - Descriptive Statistics/8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx 11.44 KB
15. Statistics - Hypothesis Testing/20.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx 11.39 KB
10. Statistics - Descriptive Statistics/18.2 2.7. Mean, median and mode_exercise_solution.xlsx.xlsx 11.35 KB
15. Statistics - Hypothesis Testing/13.1 4.6. Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx 11.34 KB
15. Statistics - Hypothesis Testing/17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx 11.25 KB
15. Statistics - Hypothesis Testing/9.2 4.4. Test for the mean. Population variance known_exercise_solution.xlsx.xlsx 11.22 KB
13. Statistics - Inferential Statistics Confidence Intervals/3.1 3.9. Population variance known, z-score_lesson.xlsx.xlsx 11.21 KB
13. Statistics - Inferential Statistics Confidence Intervals/4.1 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx 11.16 KB
13. Statistics - Inferential Statistics Confidence Intervals/9.2 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx 11.1 KB
10. Statistics - Descriptive Statistics/23.1 2.9. Variance_exercise_solution.xlsx.xlsx 11.05 KB
15. Statistics - Hypothesis Testing/9.1 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx 11.03 KB
5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.srt 10.98 KB
10. Statistics - Descriptive Statistics/24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx 10.97 KB
15. Statistics - Hypothesis Testing/8.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx 10.96 KB
10. Statistics - Descriptive Statistics/18.1 2.7. Mean, median and mode_exercise.xlsx.xlsx 10.87 KB
13. Statistics - Inferential Statistics Confidence Intervals/4.2 3.9. Population variance known, z-score_exercise.xlsx.xlsx 10.83 KB
10. Statistics - Descriptive Statistics/23.2 2.9. Variance_exercise.xlsx.xlsx 10.83 KB
27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.srt 10.78 KB
13. Statistics - Inferential Statistics Confidence Intervals/8.2 3.11. Population variance unknown, t-score_lesson.xlsx.xlsx 10.78 KB
15. Statistics - Hypothesis Testing/17.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx.xlsx 10.77 KB
2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.srt 10.63 KB
5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.srt 10.62 KB
13. Statistics - Inferential Statistics Confidence Intervals/9.1 3.11. Population variance unknown, t-score_exercise.xlsx.xlsx 10.62 KB
15. Statistics - Hypothesis Testing/20.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx.xlsx 10.54 KB
5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.srt 10.51 KB
10. Statistics - Descriptive Statistics/17.1 2.7. Mean, median and mode_lesson.xlsx.xlsx 10.49 KB
13. Statistics - Inferential Statistics Confidence Intervals/12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx 10.47 KB
17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.srt 10.39 KB
45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.srt 10.39 KB
12. Statistics - Inferential Statistics Fundamentals/6.1 3.4. Standard normal distribution_lesson.xlsx.xlsx 10.38 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.xlsx 10.12 KB
10. Statistics - Descriptive Statistics/22.1 2.9. Variance_lesson.xlsx.xlsx 10.08 KB
47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.srt 10.02 KB
49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.srt 10.01 KB
23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.srt 9.89 KB
13. Statistics - Inferential Statistics Confidence Intervals/14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx 9.83 KB
42. Python - Python Sequences/1. Introduction to Lists.srt 9.83 KB
13. Statistics - Inferential Statistics Confidence Intervals/15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx.xlsx 9.83 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.xlsx 9.79 KB
15. Statistics - Hypothesis Testing/14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx 9.79 KB
15. Statistics - Hypothesis Testing/16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx 9.63 KB
49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.srt 9.54 KB
13. Statistics - Inferential Statistics Confidence Intervals/16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx 9.52 KB
10. Statistics - Descriptive Statistics/21.2 2.8. Skewness_exercise.xlsx.xlsx 9.49 KB
15. Statistics - Hypothesis Testing/18.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx 9.31 KB
13. Statistics - Inferential Statistics Confidence Intervals/17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx 9.17 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 8.99 KB
41. Python - Functions/2. How to Create a Function with a Parameter.srt 8.98 KB
36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.srt 8.84 KB
5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.srt 8.73 KB
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.srt 8.69 KB
5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.srt 8.63 KB
24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.srt 8.58 KB
45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.srt 8.54 KB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.srt 8.49 KB
47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.srt 8.43 KB
42. Python - Python Sequences/3. Using Methods in Python.srt 8.36 KB
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.srt 8.14 KB
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.srt 8.03 KB
47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.srt 7.97 KB
43. Python - Using Iterations/8. How to Iterate over Dictionaries.srt 7.93 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 7.85 KB
48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.srt 7.84 KB
47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.srt 7.81 KB
36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.srt 7.79 KB
43. Python - Using Iterations/4. Use the range() Function to Create Lists.srt 7.66 KB
48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.srt 7.65 KB
40. Python - Conditional Statements/1. Getting to know the IF Statement.srt 7.6 KB
25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.srt 7.55 KB
10. Statistics - Descriptive Statistics/22. Variance.srt 7.53 KB
48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.srt 7.53 KB
31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.srt 7.46 KB
43. Python - Using Iterations/6. Combine Conditional Statements and Loops.srt 7.46 KB
25. SQL - Stored Routines/13. SQL Variables.srt 7.39 KB
32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.srt 7.33 KB
25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.srt 7.32 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 7.29 KB
49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.srt 7.21 KB
31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.srt 7.13 KB
30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.srt 7.08 KB
47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.srt 7.04 KB
15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.srt 6.97 KB
17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.srt 6.97 KB
36. Part 6 Introduction to Programming with Python/3. Why use Python.srt 6.96 KB
42. Python - Python Sequences/6. Working with Tuples.srt 6.92 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 6.88 KB
23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.srt 6.87 KB
26. SQL - The CASE Statement/1. The SQL CASE Statement.srt 6.86 KB
23. SQL - SQL JOINs/31. Top Tips for Joins.srt 6.84 KB
31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.srt 6.8 KB
17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.srt 6.73 KB
18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.srt 6.73 KB
19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.srt 6.71 KB
45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.srt 6.71 KB
17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.srt 6.71 KB
35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.srt 6.69 KB
10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.srt 6.68 KB
17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.srt 6.68 KB
21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.srt 6.65 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 6.62 KB
23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.srt 6.6 KB
10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.srt 6.6 KB
43. Python - Using Iterations/1. Using For Loops.srt 6.58 KB
29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.srt 6.51 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
10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.srt 6.43 KB
23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.srt 6.42 KB
41. Python - Functions/3. Define a Function in Another Way.srt 6.42 KB
29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.srt 6.4 KB
18. SQL - Install and get to know MySQL/8. Familiarize Yourself with the MySQL Interface.srt 6.35 KB
40. Python - Conditional Statements/3. Adding an ELSE statement.srt 6.28 KB
15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.srt 6.26 KB
30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.srt 6.23 KB
40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.srt 6.21 KB
17. Part 3 Relational Database Theory & Introduction to SQL/19. The Concept of Relational Schemas Relationships Between Tables.srt 6.18 KB
25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.srt 6.14 KB
13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.srt 6.11 KB
44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).srt 6.1 KB
13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).srt 6.07 KB
37. Python - Python Variables and Data Types/1. Python Variables.srt 6.05 KB
17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.srt 6.01 KB
48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.srt 5.98 KB
10. Statistics - Descriptive Statistics/1. Types of Data.srt 5.95 KB
45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.srt 5.93 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 5.87 KB
12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.srt 5.85 KB
47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.srt 5.85 KB
33. Combining SQL and Tableau - Problem 3/5. Chart 3 Visualizing the Solution in Tableau.srt 5.81 KB
21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.srt 5.79 KB
39. Python - Other Python Operators/3. Python's Logical and Identity Operators.srt 5.77 KB
25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.srt 5.73 KB
15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.srt 5.73 KB
10. Statistics - Descriptive Statistics/17. Mean, median and mode.srt 5.73 KB
23. SQL - SQL JOINs/10. The Functionality of LEFT JOIN - Part I.srt 5.72 KB
13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.srt 5.71 KB
47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.srt 5.67 KB
5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.srt 5.67 KB
15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.srt 5.67 KB
12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.srt 5.63 KB
28. Tableau - Tableau functionalities/2. Creating a Table.srt 5.62 KB
31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.srt 5.62 KB
42. Python - Python Sequences/5. What is List Slicing.srt 5.55 KB
15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).srt 5.51 KB
45. Part 7 Integration - Software Integration/7. Communication through Text Files.srt 5.47 KB
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24. SQL - SQL Subqueries/8. SQL Subqueries Embedded in SELECT and FROM - Exercise 1.html 402 B
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49. Integration - Using Tableau to Analyze the Predicted Outputs/1. EXERCISE - Age vs Probability.html 385 B
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21. SQL - Practical Application of the SQL SELECT Statement/55. Using WHERE vs HAVING - Part II - Solution.html 370 B
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47. Integration - Data Preprocessing Step by Step/21. EXERCISE - How to Reorder Columns in a DataFrame in Python.html 167 B
23. SQL - SQL JOINs/20. Using JOIN and WHERE Together - Exercise.html 165 B
23. SQL - SQL JOINs/25. The Functionality of CROSS JOIN - Exercise 2.html 162 B
32. Combining SQL and Tableau - Problem 2/2. Problem 2 Task - Text.html 162 B
22. SQL - Expanding on MySQL Aggregate Functions/3. Applying COUNT() - Solution.html 158 B
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10. Statistics - Descriptive Statistics/28. Covariance.html 156 B
10. Statistics - Descriptive Statistics/31. Correlation Coefficient.html 156 B
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12. Statistics - Inferential Statistics Fundamentals/10. Central Limit Theorem.html 156 B
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12. Statistics - Inferential Statistics Fundamentals/14. Estimators and Estimates.html 156 B
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13. Statistics - Inferential Statistics Confidence Intervals/7. Student's T Distribution.html 156 B
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15. Statistics - Hypothesis Testing/5. Rejection Region and Significance Level.html 156 B
15. Statistics - Hypothesis Testing/7. Type I Error and Type II Error.html 156 B
17. Part 3 Relational Database Theory & Introduction to SQL/10. Comparing Databases and Spreadsheets.html 156 B
17. Part 3 Relational Database Theory & Introduction to SQL/12. Important Database Terminology.html 156 B
17. Part 3 Relational Database Theory & Introduction to SQL/14. The Concept of Relational Schemas Primary Key.html 156 B
17. Part 3 Relational Database Theory & Introduction to SQL/16. The Concept of Relational Schemas Foreign Key.html 156 B
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17. Part 3 Relational Database Theory & Introduction to SQL/2. Why use SQL.html 156 B
17. Part 3 Relational Database Theory & Introduction to SQL/20. The Concept of Relational Schemas Relationships Between Tables.html 156 B
17. Part 3 Relational Database Theory & Introduction to SQL/4. Why use MySQL.html 156 B
17. Part 3 Relational Database Theory & Introduction to SQL/6. Introducing Databases.html 156 B
17. Part 3 Relational Database Theory & Introduction to SQL/8. Relational Database Fundamentals.html 156 B
19. SQL - Best SQL Practices/2. Coding Tips and Best Practices - I.html 156 B
19. SQL - Best SQL Practices/4. Coding Tips and Best Practices - II.html 156 B
2. Intro to Data and Data Science - The Different Data Science Fields/4. Intro to Business Analytics, Data Analytics, and Data Science.html 156 B
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 B
2. Intro to Data and Data Science - The Different Data Science Fields/8. An Overview of our Data Science Infographic.html 156 B
25. SQL - Stored Routines/15. SQL Variables - Solution.html 156 B
25. SQL - Stored Routines/2. Defining Stored Routines.html 156 B
25. SQL - Stored Routines/21. Concluding Stored Routines.html 156 B
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36. Part 6 Introduction to Programming with Python/10. Understanding Jupyter's Interface.html 156 B
36. Part 6 Introduction to Programming with Python/2. A 5-minute explanation of Programming.html 156 B
36. Part 6 Introduction to Programming with Python/4. Why Use Python.html 156 B
36. Part 6 Introduction to Programming with Python/6. Why Use Jupyter.html 156 B
37. Python - Python Variables and Data Types/2. Python Variables.html 156 B
37. Python - Python Variables and Data Types/4. Understanding Numbers and Boolean Values.html 156 B
37. Python - Python Variables and Data Types/6. Strings.html 156 B
38. Python - Python Syntax Fundamentals/11. How to Index Elements.html 156 B
38. Python - Python Syntax Fundamentals/13. How to Structure Your Code with Indentation.html 156 B
38. Python - Python Syntax Fundamentals/2. Using Arithmetic Operators in Python.html 156 B
38. Python - Python Syntax Fundamentals/4. What is the Double Equality Sign.html 156 B
38. Python - Python Syntax Fundamentals/6. How to Reassign Values.html 156 B
38. Python - Python Syntax Fundamentals/8. How to Add Comments.html 156 B
39. Python - Other Python Operators/2. Python's Comparison Operators.html 156 B
39. Python - Other Python Operators/4. Python's Logical and Identity Operators.html 156 B
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 B
40. Python - Conditional Statements/2. Getting to know the IF Statement.html 156 B
40. Python - Conditional Statements/6. An Additional Explanation of Boolean Values.html 156 B
41. Python - Functions/8. Python - Functions.html 156 B
42. Python - Python Sequences/2. Introduction to Lists.html 156 B
42. Python - Python Sequences/4. Using Methods in Python.html 156 B
42. Python - Python Sequences/8. Python Dictionaries.html 156 B
43. Python - Using Iterations/2. For Loops.html 156 B
43. Python - Using Iterations/5. Use the range() Function to Create Lists.html 156 B
44. Python - Advanced Python tools/2. Introduction to Object Oriented Programming (OOP).html 156 B
44. Python - Advanced Python tools/4. Using Modules and Packages.html 156 B
44. Python - Advanced Python tools/6. What is the Standard Library.html 156 B
44. Python - Advanced Python tools/8. How to Import Modules in Python.html 156 B
45. Part 7 Integration - Software Integration/10. What is Software Integration and How is it Applied.html 156 B
45. Part 7 Integration - Software Integration/2. Getting Started with Data, Servers, Clients, Requests, and Responses.html 156 B
45. Part 7 Integration - Software Integration/4. Getting Started with Data Connectivity, APIs, and Endpoints.html 156 B
45. Part 7 Integration - Software Integration/6. Become Better Acquainted with APIs.html 156 B
45. Part 7 Integration - Software Integration/8. Communication through Text Files.html 156 B
46. Integration - What is contained in this Course/4. Presenting the Data Set.html 156 B
47. Integration - Data Preprocessing Step by Step/32.2 Preprocessing.html 156 B
5. Intro to Data and Data Science - Common Data Science Techniques/11. Traditional Methods Techniques.html 156 B
5. Intro to Data and Data Science - Common Data Science Techniques/14. Machine Learning (ML) Techniques.html 156 B
5. Intro to Data and Data Science - Common Data Science Techniques/16. Machine Learning (ML) Types of Machine Learning.html 156 B
5. Intro to Data and Data Science - Common Data Science Techniques/18. Machine Learning (ML) Real-life Examples.html 156 B
5. Intro to Data and Data Science - Common Data Science Techniques/2. Traditional Data Techniques.html 156 B
5. Intro to Data and Data Science - Common Data Science Techniques/5. Big Data Techniques.html 156 B
5. Intro to Data and Data Science - Common Data Science Techniques/8. Business Intelligence (BI) Techniques.html 156 B
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 B
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 B
8. Intro to Data and Data Science - Dispelling Common Misconceptions/2. Dispelling common Misconceptions.html 156 B
9. Part 2 Statistics - Population and Sample/2. Population and Sample.html 156 B
28. Tableau - Tableau functionalities/7.1 Inserting a filter - Tableau Public Link.html 155 B
29. Tableau - The Tableau Exercise/11.2 Adding a filter - Tableau Public Link.html 155 B
21. SQL - Practical Application of the SQL SELECT Statement/38. Using SELECT DISTINCT - Solution.html 154 B
28. Tableau - Tableau functionalities/6.1 Adding a custom calculation - Tableau Public Link.html 154 B
48. Integration - Integrating Python and SQL/11.1 Integration.html 154 B
25. SQL - Stored Routines/11. Create Stored Procedures with an Output Parameter - Exercise.html 152 B
28. Tableau - Tableau functionalities/2.1 Creating a table - Tableau Public Link.html 151 B
29. Tableau - The Tableau Exercise/10.1 Creating a dashboard - Tableau Public Link.html 151 B
23. SQL - SQL JOINs/23. The Functionality of CROSS JOIN - Exercise 1.html 150 B
28. Tableau - Tableau functionalities/5.1 Addint totals and subtotals - Tableau Public Link.html 150 B
29. Tableau - The Tableau Exercise/4.2 Check the data - Tableau Public Link.html 150 B
21. SQL - Practical Application of the SQL SELECT Statement/2. Using SELECT - FROM - Exercise.html 149 B
29. Tableau - The Tableau Exercise/8.3 Second chart - Tableau Public Link.html 149 B
31. Combining SQL and Tableau - Problem 1/2. Problem 1 Task - Text.html 149 B
29. Tableau - The Tableau Exercise/7.3 First chart - Tableau Public Link.html 148 B
29. Tableau - The Tableau Exercise/9.3 Third chart - Tableau Public Link.html 148 B
22. SQL - Expanding on MySQL Aggregate Functions/14. Rounding Numbers with ROUND() - Exercise.html 145 B
27. Part 4 Introduction to Tableau/5.2 GDP Data - Tableau Public Link.html 144 B
29. Tableau - The Tableau Exercise/5.1 Check the data - Tableau Public Link.html 143 B
29. Tableau - The Tableau Exercise/6.1 Check the data - Tableau Public Link.html 143 B
47. Integration - Data Preprocessing Step by Step/19. SOLUTION - Concatenation in Python.html 142 B
21. SQL - Practical Application of the SQL SELECT Statement/17. Using IN - NOT IN - Exercise 1.html 140 B
23. SQL - SQL JOINs/6. The Functionality of INNER JOIN - PART II - Exercise.html 140 B
24. SQL - SQL Subqueries/2. SQL Subqueries with IN Embedded Inside WHERE - Exercise.html 138 B
47. Integration - Data Preprocessing Step by Step/24. EXERCISE - Using Checkpoints to Ease Your Work in Jupyter.html 137 B
1. Part 1 Introduction/1.2 Course Resources - Complete Package.html 134 B
37. Python - Python Variables and Data Types/1.2 Python Variables - Resources.html 134 B
37. Python - Python Variables and Data Types/3.1 Understanding Numbers and Boolean Values - Resources.html 134 B
37. Python - Python Variables and Data Types/5.1 Strings - Resources.html 134 B
38. Python - Python Syntax Fundamentals/1.1 Arithmetic Operators - Resources.html 134 B
38. Python - Python Syntax Fundamentals/10.1 Indexing Elements - Resources.html 134 B
38. Python - Python Syntax Fundamentals/12.1 Structure Your Code with Indentation - Resources.html 134 B
38. Python - Python Syntax Fundamentals/3.1 The Double Equality Sign - Resources.html 134 B
38. Python - Python Syntax Fundamentals/5.1 Reassign Values - Resources.html 134 B
38. Python - Python Syntax Fundamentals/7.1 How to Add Comments - Resources.html 134 B
38. Python - Python Syntax Fundamentals/9.1 Line Continuation - Resources.html 134 B
39. Python - Other Python Operators/1.1 Comparison Operators - Resources.html 134 B
39. Python - Other Python Operators/3.1 Logical and Identity Operators - Resources.html 134 B
40. Python - Conditional Statements/1.1 Introduction to the If Statement - Resources.html 134 B
40. Python - Conditional Statements/3.1 Add an Else Statement - Resources.html 134 B
40. Python - Conditional Statements/4.1 Else if, for Brief - Elif - Resources.html 134 B
40. Python - Conditional Statements/5.1 A Note on Boolean Values - Resources.html 134 B
41. Python - Functions/1.1 Defining a Function in Python - Resources.html 134 B
41. Python - Functions/2.1 Creating a Function with a Parameter - Resources.html 134 B
41. Python - Functions/3.1 Another Way to Define a Function - Resources.html 134 B
41. Python - Functions/4.1 Using a Function in Another Function - Resources.html 134 B
41. Python - Functions/5.1 Combining Conditional Statements and Functions - Resources.html 134 B
41. Python - Functions/6.1 Creating Functions Containing a Few Arguments - Resources.html 134 B
41. Python - Functions/7.1 Notable Built-In Functions in Python - Resources.html 134 B
42. Python - Python Sequences/1.1 Lists - Resources.html 134 B
42. Python - Python Sequences/3.1 Help Yourself with Methods - Resources.html 134 B
42. Python - Python Sequences/5.1 List Slicing - Resources.html 134 B
42. Python - Python Sequences/6.1 Tuples - Resources.html 134 B
42. Python - Python Sequences/7.1 Dictionaries - Resources.html 134 B
43. Python - Using Iterations/1.1 For Loops - Resources.html 134 B
43. Python - Using Iterations/3.1 While Loops and Incrementing - Resources.html 134 B
43. Python - Using Iterations/4.1 Create Lists with the range() Function - Resources.html 134 B
43. Python - Using Iterations/6.1 Use Conditional Statements and Loops Together - Resources.html 134 B
43. Python - Using Iterations/7.1 All In - Conditional Statements, Functions, and Loops - Resources.html 134 B
43. Python - Using Iterations/8.1 Iterating over Dictionaries - Resources.html 134 B
48. Integration - Integrating Python and SQL/1.1 The 5 files rar.html 134 B
47. Integration - Data Preprocessing Step by Step/12. EXERCISE - Splitting a Variable into Multiple Dummy Variables.html 129 B
22. SQL - Expanding on MySQL Aggregate Functions/8. MIN() and MAX() - Exercise.html 128 B
30. Part 5 Combining SQL and Tableau - Introduction/4.1 The 'employees_mod' database.html 125 B
22. SQL - Expanding on MySQL Aggregate Functions/2. Applying COUNT() - Exercise.html 123 B
20. SQL - Loading the 'employees' Database/2.1 The 'employees' database.html 121 B
21. SQL - Practical Application of the SQL SELECT Statement/19. Using IN - NOT IN - Exercise 2.html 118 B
22. SQL - Expanding on MySQL Aggregate Functions/5. Applying SUM() - Exercise.html 117 B
47. Integration - Data Preprocessing Step by Step/25. SOLUTION - Using Checkpoints to Ease Your Work in Jupyter.html 117 B
47. Integration - Data Preprocessing Step by Step/13. SOLUTION - Splitting a Variable into Multiple Dummy Variables.html 116 B
25. SQL - Stored Routines/6. An Example of Stored Procedures Part II - Exercise.html 114 B
47. Integration - Data Preprocessing Step by Step/9. SOLUTION - Dropping Variables We Don't Need.html 113 B
21. SQL - Practical Application of the SQL SELECT Statement/43. Using ORDER BY - Exercise.html 106 B
23. SQL - SQL JOINs/29. JOIN More than Two Tables - Exercise.html 105 B
22. SQL - Expanding on MySQL Aggregate Functions/11. Applying AVG() - Exercise.html 102 B
21. SQL - Practical Application of the SQL SELECT Statement/5. Using WHERE - Exercise.html 93 B
23. SQL - SQL JOINs/32. Top Tips for Joins - Exercise.html 93 B
21. SQL - Practical Application of the SQL SELECT Statement/14. Operator Precedence and Logical Order - Exercise.html 92 B
21. SQL - Practical Application of the SQL SELECT Statement/11. Using OR - Exercise.html 85 B
21. SQL - Practical Application of the SQL SELECT Statement/31. Using IS NOT NULL - IS NULL - Exercise.html 85 B
13. Statistics - Inferential Statistics Confidence Intervals/13. Confidence intervals. Two means. Dependent samples Exercise.html 82 B
13. Statistics - Inferential Statistics Confidence Intervals/15. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html 82 B
13. Statistics - Inferential Statistics Confidence Intervals/17. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html 82 B
13. Statistics - Inferential Statistics Confidence Intervals/9. Confidence Intervals; Population Variance Unknown; t-score Exercise.html 82 B
14. Statistics - Practical Example Inferential Statistics/2. Practical Example Inferential Statistics Exercise.html 82 B
15. Statistics - Hypothesis Testing/13. Test for the Mean. Population Variance Unknown Exercise.html 82 B
15. Statistics - Hypothesis Testing/15. Test for the Mean. Dependent Samples Exercise.html 82 B
15. Statistics - Hypothesis Testing/17. Test for the mean. Independent samples (Part 1). Exercise.html 82 B
15. Statistics - Hypothesis Testing/20. Test for the mean. Independent samples (Part 2).html 82 B
15. Statistics - Hypothesis Testing/9. Test for the Mean. Population Variance Known Exercise.html 82 B
16. Statistics - Practical Example Hypothesis Testing/2. Practical Example Hypothesis Testing Exercise.html 82 B
10. Statistics - Descriptive Statistics/10. Numerical Variables Exercise.html 81 B
10. Statistics - Descriptive Statistics/13. Histogram Exercise.html 81 B
10. Statistics - Descriptive Statistics/16. Cross Tables and Scatter Plots Exercise.html 81 B
10. Statistics - Descriptive Statistics/18. Mean, Median and Mode Exercise.html 81 B
10. Statistics - Descriptive Statistics/21. Skewness Exercise.html 81 B
10. Statistics - Descriptive Statistics/23. Variance Exercise.html 81 B
10. Statistics - Descriptive Statistics/26. Standard Deviation and Coefficient of Variation Exercise.html 81 B
10. Statistics - Descriptive Statistics/29. Covariance Exercise.html 81 B
10. Statistics - Descriptive Statistics/32. Correlation Coefficient Exercise.html 81 B
10. Statistics - Descriptive Statistics/7. Categorical Variables Exercise.html 81 B
11. Statistics - Practical Example Descriptive Statistics/2. Practical Example Exercise.html 81 B
12. Statistics - Inferential Statistics Fundamentals/8. The Standard Normal Distribution Exercise.html 81 B
13. Statistics - Inferential Statistics Confidence Intervals/4. Confidence Intervals; Population Variance Known; z-score Exercise.html 81 B
21. SQL - Practical Application of the SQL SELECT Statement/8. Using AND - Exercise.html 78 B
21. SQL - Practical Application of the SQL SELECT Statement/57. Using LIMIT - Exercise.html 65 B
18. SQL - Install and get to know MySQL/4. The Client-Server Model.html 30 B
24. SQL - SQL Subqueries/10. SQL Subqueries Nested in SELECT and FROM - Solution 2.html 15 B
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