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11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.mp4 168.3 MB17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.mp4 164.4 MB5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.mp4 145.1 MB3. Intro to Data and Data Science - The Relationship between Different Fields/1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.mp4 132.9 MB5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.mp4 131.1 MB45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.mp4 121.2 MB
5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.srt 117.1 MB5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.mp4 117.1 MB2. Intro to Data and Data Science - The Different Data Science Fields/5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.mp4 114.3 MB17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.mp4 112.9 MB45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4 109.2 MB6. Intro to Data and Data Science - Common Data Science Tools/1. Programming Languages & Software Employed in Data Science - All the Tools Needed.mp4 108.4 MB17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.mp4 107.9 MB14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 107.6 MB5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 104.1 MB18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.mp4 103.9 MB30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.mp4 97.2 MB15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.mp4 96.6 MB17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.mp4 94.9 MB23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.mp4 94.2 MB5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 94.2 MB4. Intro to Data and Data Science - What is the Purpose of each Data Science Field/1. Why do we Need each of these Disciplines.mp4 91.7 MB30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.mp4 88.0 MB15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 86.5 MB2. Intro to Data and Data Science - The Different Data Science Fields/1. Why Are There So Many Business and Data Science Buzzwords.mp4 85.3 MB47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.mp4 85.1 MB13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4 82.0 MB48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.mp4 80.0 MB5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.mp4 79.1 MB36. Part 6 Introduction to Programming with Python/3. Why use Python.mp4 78.7 MB47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.mp4 78.2 MB8. Intro to Data and Data Science - Dispelling Common Misconceptions/1. Dispelling common Misconceptions.mp4 76.3 MB10. Statistics - Descriptive Statistics/1. Types of Data.mp4 76.0 MB24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.mp4 75.1 MB13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4 73.9 MB17. Part 3 Relational Database Theory & Introduction to SQL/1. Why use SQL.mp4 73.5 MB16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4 72.7 MB45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4 72.4 MB2. Intro to Data and Data Science - The Different Data Science Fields/7. An Overview of our Data Science Infographic.mp4 71.1 MB23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.mp4 70.3 MB25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.mp4 67.6 MB2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.mp4 67.6 MB45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.mp4 66.8 MB12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4 66.0 MB47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.mp4 64.8 MB47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.mp4 64.7 MB12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4 64.7 MB45. Part 7 Integration - Software Integration/7. Communication through Text Files.mp4 63.3 MB26. SQL - The CASE Statement/1. The SQL CASE Statement.mp4 62.3 MB49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.mp4 62.2 MB27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.mp4 61.8 MB48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.mp4 61.8 MB36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.mp4 61.4 MB48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.mp4 61.1 MB9. Part 2 Statistics - Population and Sample/1. Population vs sample.mp4 60.9 MB47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.mp4 60.1 MB13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence interval clarifications.mp4 59.8 MB49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.mp4 59.2 MB35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp4 58.9 MB15. Statistics - Hypothesis Testing/10. p-value.mp4 58.6 MB1. Part 1 Introduction/1. What Does the Course Cover.mp4 57.8 MB23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.mp4 57.5 MB25. SQL - Stored Routines/13. SQL Variables.mp4 57.2 MB10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4 57.0 MB7. Intro to Data and Data Science - Data Science Career Paths/1. Data Science Job Positions What do they Involve and What to Look out for.mp4 57.0 MB48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.mp4 57.0 MB15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.mp4 56.9 MB21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.mp4 56.2 MB2. Intro to Data and Data Science - The Different Data Science Fields/2. Analysis vs Analytics.mp4 56.1 MB40. Python - Conditional Statements/4. Else if, for Brief – ELIF.mp4 55.9 MB48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.mp4 55.0 MB46. Integration - What is contained in this Course/1. Solving a Business Exercise with Python, SQL, and Tableau.mp4 54.9 MB27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.mp4 54.6 MB36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.mp4 53.5 MB10. Statistics - Descriptive Statistics/22. Variance.mp4 53.4 MB23. SQL - SQL JOINs/31. Top Tips for Joins.mp4 53.4 MB23. SQL - SQL JOINs/10. The Functionality of LEFT JOIN - Part I.mp4 53.3 MB37. Python - Python Variables and Data Types/5. Strings.mp4 53.1 MB15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.mp4 52.9 MB13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp4 52.4 MB12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp4 52.3 MB32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.mp4 51.8 MB25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.mp4 51.1 MB12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp4 50.2 MB47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.mp4 50.1 MB18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.mp4 50.0 MB23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.mp4 50.0 MB21. SQL - Practical Application of the SQL SELECT Statement/56. Using LIMIT.mp4 49.5 MB13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4 49.5 MB23. SQL - SQL JOINs/9. Duplicate Rows.mp4 48.8 MB31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.mp4 47.8 MB29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.mp4 47.8 MB10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp4 47.3 MB28. Tableau - Tableau functionalities/8. Working with Joins in Tableau.mp4 47.3 MB36. Part 6 Introduction to Programming with Python/5. Why use Jupyter.mp4 46.5 MB15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.mp4 46.1 MB17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.mp4 46.1 MB23. SQL - SQL JOINs/8. Extra Info on Using Joins.mp4 46.0 MB21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.mp4 45.7 MB31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.mp4 45.3 MB17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.mp4 45.0 MB5. Intro to Data and Data Science - Common Data Science Techniques/12. Traditional Methods Real-life Examples.mp4 44.9 MB23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.mp4 44.3 MB23. SQL - SQL JOINs/1. What are JOINs.mp4 44.2 MB25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.mp4 44.2 MB42. Python - Python Sequences/7. Python Dictionaries.mp4 43.7 MB17. Part 3 Relational Database Theory & Introduction to SQL/19. The Concept of Relational Schemas Relationships Between Tables.mp4 43.7 MB23. SQL - SQL JOINs/28. JOIN More than Two Tables.mp4 43.4 MB21. SQL - Practical Application of the SQL SELECT Statement/42. Using ORDER BY.mp4 43.3 MB21. SQL - Practical Application of the SQL SELECT Statement/33. Using Other Comparison Operators.mp4 43.2 MB31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.mp4 43.1 MB46. Integration - What is contained in this Course/3. Presenting the Data Set.mp4 42.9 MB49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.mp4 42.6 MB47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.mp4 42.5 MB33. Combining SQL and Tableau - Problem 3/5. Chart 3 Visualizing the Solution in Tableau.mp4 42.5 MB18. SQL - Install and get to know MySQL/8. Familiarize Yourself with the MySQL Interface.mp4 42.2 MB15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.mp4 42.1 MB10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.mp4 41.7 MB32. Combining SQL and Tableau - Problem 2/3. Problem 2 Solution in SQL.mp4 41.6 MB47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp4 41.5 MB27. Part 4 Introduction to Tableau/1. Why Use Tableau Make Your Data Make an Impact.mp4 41.1 MB46. Integration - What is contained in this Course/2. Presenting the Task Absenteeism at Work.mp4 41.0 MB47. Integration - Data Preprocessing Step by Step/17. Concatenation in Python.mp4 40.6 MB41. Python - Functions/2. How to Create a Function with a Parameter.mp4 39.9 MB19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.mp4 39.7 MB42. Python - Python Sequences/1. Introduction to Lists.mp4 39.6 MB42. Python - Python Sequences/3. Using Methods in Python.mp4 39.4 MB24. SQL - SQL Subqueries/1. SQL Subqueries with IN Embedded Inside WHERE.mp4 39.3 MB10. Statistics - Descriptive Statistics/17. Mean, median and mode.mp4 38.9 MB5. Intro to Data and Data Science - Common Data Science Techniques/17. Machine Learning (ML) Real-life Examples.mp4 38.6 MB10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4 38.4 MB28. Tableau - Tableau functionalities/6. Adding a Custom Calculation.mp4 38.3 MB15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).mp4 38.1 MB21. SQL - Practical Application of the SQL SELECT Statement/21. Using LIKE - NOT LIKE.mp4 37.8 MB21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.mp4 37.7 MB13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.mp4 37.1 MB21. SQL - Practical Application of the SQL SELECT Statement/52. Using WHERE vs HAVING - Part I.mp4 36.6 MB25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.mp4 35.9 MB31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.mp4 35.4 MB44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).mp4 35.2 MB33. Combining SQL and Tableau - Problem 3/3. Problem 3 Solution in SQL.mp4 34.9 MB21. SQL - Practical Application of the SQL SELECT Statement/10. Using OR.mp4 34.8 MB21. SQL - Practical Application of the SQL SELECT Statement/49. Using HAVING.mp4 34.6 MB48. Integration - Integrating Python and SQL/11. Sending Data from Jupyter to Workbench - Part III.mp4 34.4 MB25. SQL - Stored Routines/10. Create Stored Procedures with an Output Parameter.mp4 34.1 MB25. SQL - Stored Routines/8. Creating a Procedure in MySQL Another Way.mp4 34.0 MB29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.mp4 33.9 MB23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.srt 33.8 MB23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.mp4 33.8 MB13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.mp4 33.7 MB21. SQL - Practical Application of the SQL SELECT Statement/16. Using IN - NOT IN.mp4 33.7 MB21. SQL - Practical Application of the SQL SELECT Statement/13. Operator Precedence and Logical Order.mp4 33.6 MB23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.srt 33.6 MB23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.mp4 33.6 MB29. Tableau - The Tableau Exercise/10. Creating and Formatting a Dashboard.mp4 33.4 MB29. Tableau - The Tableau Exercise/11. Adding Interactive Filters for Improved Analysis.mp4 33.2 MB31. Combining SQL and Tableau - Problem 1/6. Exporting Your Output from SQL and Loading it in Tableau.mp4 33.1 MB42. Python - Python Sequences/5. What is List Slicing.mp4 32.3 MB36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.mp4 32.1 MB34. Combining SQL and Tableau - Problem 4/3. Problem 4 Solution in SQL.mp4 31.8 MB39. Python - Other Python Operators/3. Python's Logical and Identity Operators.mp4 31.5 MB15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).mp4 31.4 MB5. Intro to Data and Data Science - Common Data Science Techniques/3. Traditional Data Real-life Examples.mp4 31.4 MB25. SQL - Stored Routines/1. Defining Stored Routines.mp4 31.4 MB24. SQL - SQL Subqueries/4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp4 31.2 MB28. Tableau - Tableau functionalities/4. Creating a Custom Field and Adding Calculations to a Table.mp4 31.1 MB19. SQL - Best SQL Practices/3. Coding Tips and Best Practices - II.mp4 31.1 MB43. Python - Using Iterations/8. How to Iterate over Dictionaries.mp4 31.1 MB47. Integration - Data Preprocessing Step by Step/30. Analysis of the Next 5 Columns in DF.mp4 31.0 MB5. Intro to Data and Data Science - Common Data Science Techniques/9. Business Intelligence (BI) Real-life Examples.mp4 31.0 MB42. Python - Python Sequences/6. Working with Tuples.mp4 30.9 MB10. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp4 30.8 MB17. Part 3 Relational Database Theory & Introduction to SQL/3. Why use MySQL.mp4 30.7 MB32. Combining SQL and Tableau - Problem 2/1. Problem 2 Task.mp4 30.4 MB30. Part 5 Combining SQL and Tableau - Introduction/3. Loading the Database.mp4 30.3 MB13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).mp4 30.2 MB29. Tableau - The Tableau Exercise/6. Performing a Numbers Check - Attempt #2.mp4 30.0 MB29. Tableau - The Tableau Exercise/1. Introduction to the Exercise.mp4 29.9 MB43. Python - Using Iterations/3. Using While Loops and Incrementing.mp4 29.8 MB27. Part 4 Introduction to Tableau/2. Let's Download Tableau Public.mp4 29.8 MB47. Integration - Data Preprocessing Step by Step/28. Adding the Day of the Week Column.mp4 29.3 MB47. Integration - Data Preprocessing Step by Step/4. Programming vs the Rest of the World.mp4 29.2 MB43. Python - Using Iterations/6. Combine Conditional Statements and Loops.mp4 29.1 MB28. Tableau - Tableau functionalities/7. Inserting a Filter.mp4 29.0 MB10. Statistics - Descriptive Statistics/27. Covariance.mp4 28.8 MB22. SQL - Expanding on MySQL Aggregate Functions/1. Applying COUNT().mp4 28.7 MB29. Tableau - The Tableau Exercise/7. First Chart.mp4 28.6 MB25. SQL - Stored Routines/20. Concluding Stored Routines.mp4 28.5 MB13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).mp4 28.1 MB28. Tableau - Tableau functionalities/2. Creating a Table.mp4 27.2 MB10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4 27.1 MB43. Python - Using Iterations/4. Use the range() Function to Create Lists.mp4 27.0 MB47. Integration - Data Preprocessing Step by Step/23. Using Checkpoints to Ease Your Work in Jupyter.mp4 27.0 MB48. Integration - Integrating Python and SQL/1. How to Use the 'absenteeism_module' in Python - Part I.mp4 26.7 MB48. Integration - Integrating Python and SQL/8. Executing and SQL SELECT Statement from Python.mp4 26.6 MB28. Tableau - Tableau functionalities/1. Duplicating a Sheet.mp4 26.5 MB37. Python - Python Variables and Data Types/1. Python Variables.mp4 26.5 MB41. Python - Functions/3. Define a Function in Another Way.mp4 26.5 MB23. SQL - SQL JOINs/18. Using JOIN and WHERE Together.mp4 26.4 MB29. Tableau - The Tableau Exercise/4. Performing a Numbers Check - Attempt #1.mp4 26.3 MB21. SQL - Practical Application of the SQL SELECT Statement/53. Using WHERE vs HAVING - Part II.mp4 26.0 MB17. Part 3 Relational Database Theory & Introduction to SQL/17. The Concept of Relational Schemas Unique Key and Null Values.mp4 25.7 MB25. SQL - Stored Routines/4. An Example of Stored Procedures Part I.mp4 25.1 MB34. Combining SQL and Tableau - Problem 4/1. Problem 4 Task.mp4 24.9 MB43. Python - Using Iterations/1. Using For Loops.mp4 24.7 MB29. Tableau - The Tableau Exercise/2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.mp4 24.6 MB40. Python - Conditional Statements/3. Adding an ELSE statement.mp4 24.4 MB40. Python - Conditional Statements/1. Getting to know the IF Statement.mp4 24.4 MB47. Integration - Data Preprocessing Step by Step/2. How to Import the Data Set in Python.mp4 24.2 MB12. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp4 23.9 MB34. Combining SQL and Tableau - Problem 4/5. Chart 4 Visualizing the Solution in Tableau.mp4 23.8 MB12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp4 23.6 MB23. SQL - SQL JOINs/27. Combining Aggregate Functions with Joins.mp4 23.2 MB5. Intro to Data and Data Science - Common Data Science Techniques/6. Big Data Real-life Examples.mp4 23.1 MB41. Python - Functions/7. Built-In Functions in Python Worth Knowing.mp4 23.1 MB21. SQL - Practical Application of the SQL SELECT Statement/4. Using WHERE.mp4 23.0 MB47. Integration - Data Preprocessing Step by Step/32. A Final Note on this Section.mp4 22.7 MB21. SQL - Practical Application of the SQL SELECT Statement/46. Using Aliases (AS).mp4 22.3 MB48. Integration - Integrating Python and SQL/5. Creating a Connection and Cursor.mp4 22.0 MB28. Tableau - Tableau functionalities/5. Adding Totals and Subtotals.mp4 21.9 MB47. Integration - Data Preprocessing Step by Step/6. The Approach we will Take to Solve this Exercise.mp4 21.1 MB40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.mp4 21.0 MB44. Python - Advanced Python tools/7. How to Import Modules in Python.mp4 20.9 MB13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).mp4 20.9 MB10. Statistics - Descriptive Statistics/19. Skewness.mp4 20.4 MB18. SQL - Install and get to know MySQL/5. Linking GUI with the MySQL Server.mp4 20.2 MB48. Integration - Integrating Python and SQL/4. Importing 'pymysql' in Python.mp4 20.0 MB20. SQL - Loading the 'employees' Database/1. Loading the 'employees' Database.mp4 19.9 MB38. Python - Python Syntax Fundamentals/1. The Arithmetic Operators of Python.mp4 19.8 MB44. Python - Advanced Python tools/5. What is the Standard Library.mp4 18.9 MB28. Tableau - Tableau functionalities/3. Creating Custom Fields.mp4 18.1 MB29. Tableau - The Tableau Exercise/8. Second Chart.mp4 17.9 MB37. Python - Python Variables and Data Types/3. Understanding Numbers and Boolean Values.mp4 17.9 MB22. SQL - Expanding on MySQL Aggregate Functions/13. Rounding Numbers with ROUND().mp4 17.6 MB21. SQL - Practical Application of the SQL SELECT Statement/7. Using AND.mp4 17.5 MB21. SQL - Practical Application of the SQL SELECT Statement/27. Using BETWEEN - AND.mp4 17.3 MB41. Python - Functions/5. Use Conditional Statements and Functions Together.mp4 16.4 MB21. SQL - Practical Application of the SQL SELECT Statement/36. Using SELECT DISTINCT.mp4 16.4 MB12. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4 16.2 MB29. Tableau - The Tableau Exercise/9. Third Chart.mp4 16.0 MB41. Python - Functions/1. How to Define a Function in Python.mp4 15.5 MB41. Python - Functions/6. How to Create Functions Which Contain a Few Arguments.mp4 15.4 MB27. Part 4 Introduction to Tableau/3. Connecting Data in Tableau.mp4 15.0 MB47. Integration - Data Preprocessing Step by Step/20. How to Reorder Columns in a DataFrame in Python.mp4 14.7 MB21. SQL - Practical Application of the SQL SELECT Statement/30. Using IS NOT NULL - IS NULL.mp4 14.6 MB10. Statistics - Descriptive Statistics/11. The Histogram.mp4 14.5 MB36. Part 6 Introduction to Programming with Python/8. Understanding Jupyter’s Interface – Dashboard.mp4 14.5 MB47. Integration - Data Preprocessing Step by Step/15. A Statistical Perspective on Dummy Variables.mp4 14.4 MB22. SQL - Expanding on MySQL Aggregate Functions/10. Applying AVG().mp4 14.2 MB33. Combining SQL and Tableau - Problem 3/1. Problem 3 Task.mp4 13.9 MB38. Python - Python Syntax Fundamentals/12. How to Structure Your Code with Indentation.mp4 13.8 MB29. Tableau - The Tableau Exercise/12. Interactive Filters - fix.mp4 13.1 MB36. Part 6 Introduction to Programming with Python/11. Python 2 vs Python 3.mp4 11.8 MB38. Python - Python Syntax Fundamentals/7. How to Add Comments.mp4 11.8 MB22. SQL - Expanding on MySQL Aggregate Functions/4. Applying SUM().mp4 11.0 MB22. SQL - Expanding on MySQL Aggregate Functions/7. MIN() and MAX().mp4 10.8 MB39. Python - Other Python Operators/1. Python's Comparison Operators.mp4 10.7 MB21. SQL - Practical Application of the SQL SELECT Statement/24. Using Wildcard Characters.mp4 10.3 MB43. Python - Using Iterations/7. All In – Conditional Statements, Functions, and Loops.mp4 10.0 MB44. Python - Advanced Python tools/3. Using Modules and Packages.mp4 8.9 MB41. Python - Functions/4. How to use a Function within a Function.mp4 8.5 MB47. Integration - Data Preprocessing Step by Step/32.2 Absenteeism Exercise - Preprocessing LECTURES.ipynb 8.0 MB
2. Intro to Data and Data Science - The Different Data Science Fields/5.2 365_DataScience.png 7.6 MB2. Intro to Data and Data Science - The Different Data Science Fields/7.1 365_DataScience.png 7.6 MB3. Intro to Data and Data Science - The Relationship between Different Fields/1.1 365_DataScience.png 7.6 MB43. Python - Using Iterations/7. All In – Conditional Statements, Functions, and Loops.srt 7.4 MB38. Python - Python Syntax Fundamentals/3. What is the Double Equality Sign.mp4 6.3 MB38. Python - Python Syntax Fundamentals/10. How to Index Elements.mp4 6.2 MB38. Python - Python Syntax Fundamentals/5. How to Reassign Values.mp4 4.2 MB28. Tableau - Tableau functionalities/2.2 Tesla sales data.xlsx 2.9 MB28. Tableau - Tableau functionalities/3.2 Tesla sales data.xlsx 2.9 MB28. Tableau - Tableau functionalities/4.2 Tesla sales data.xlsx 2.9 MB28. Tableau - Tableau functionalities/5.2 Tesla sales data.xlsx 2.9 MB38. Python - Python Syntax Fundamentals/9. Understanding Line Continuation.mp4 2.5 MB
36. Part 6 Introduction to Programming with Python/11.1 Python Introduction - Course Notes.pdf 2.1 MB37. Python - Python Variables and Data Types/1.3 Python Introduction - Course Notes.pdf 2.1 MB29. Tableau - The Tableau Exercise/1.2 Audiobook sales.xlsx 2.0 MB29. Tableau - The Tableau Exercise/10.1 Audiobook sales.xlsx 2.0 MB29. Tableau - The Tableau Exercise/11.3 Audiobook sales.xlsx 2.0 MB29. Tableau - The Tableau Exercise/3.1 Audiobook sales.xlsx 2.0 MB29. Tableau - The Tableau Exercise/4.2 Audiobook sales.xlsx 2.0 MB29. Tableau - The Tableau Exercise/5.3 Audiobook sales.xlsx 2.0 MB29. Tableau - The Tableau Exercise/6.3 Audiobook sales.xlsx 2.0 MB29. Tableau - The Tableau Exercise/7.1 Audiobook sales.xlsx 2.0 MB29. Tableau - The Tableau Exercise/8.1 Audiobook sales.xlsx 2.0 MB29. Tableau - The Tableau Exercise/9.1 Audiobook sales.xlsx 2.0 MB14. Statistics - Practical Example Inferential Statistics/2.2 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx 1.9 MB14. Statistics - Practical Example Inferential Statistics/1.1 3.17. Practical example. Confidence intervals_lesson.xlsx 1.8 MB14. Statistics - Practical Example Inferential Statistics/2.1 3.17.Practical-example.Confidence-intervals-exercise.xlsx 1.8 MB15. Statistics - Hypothesis Testing/10.1 Online p-value calculator.pdf 1.2 MB1. Part 1 Introduction/1.1 BI - FAQ.pdf 1.2 MB15. Statistics - Hypothesis Testing/1.1 Course notes_hypothesis_testing.pdf 672.2 kB15. Statistics - Hypothesis Testing/4.1 Course notes_hypothesis_testing.pdf 672.2 kB36. Part 6 Introduction to Programming with Python/9.1 Jupyter_Shortcuts.pdf 603.7 kB18. SQL - Install and get to know MySQL/4.1 The Client-Server Model.pdf 570.3 kB19. SQL - Best SQL Practices/1.1 MySQL_Workbench_Shortcuts.pdf 527.6 kB10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf 493.8 kB9. Part 2 Statistics - Population and Sample/1.2 Course notes_descriptive_statistics.pdf 493.8 kB12. 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Combining SQL and Tableau - Problem 4/4. Problem 4 Solution in SQL - Code.html 697 Bytes1. Part 1 Introduction/2. Download All Resources.html 666 Bytes48. Integration - Integrating Python and SQL/11.1 predicted_outputs.sql 655 Bytes21. SQL - Practical Application of the SQL SELECT Statement/51. Using HAVING - Solution.html 629 Bytes30. Part 5 Combining SQL and Tableau - Introduction/4. Loading the Database.html 621 Bytes23. SQL - SQL JOINs/13. The Functionality of LEFT JOIN - Part II - Solution.html 599 Bytes24. SQL - SQL Subqueries/6. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Solution.html 573 Bytes49. Integration - Using Tableau to Analyze the Predicted Outputs/5. EXERCISE - Transportation Expense vs Probability.html 553 Bytes23. SQL - SQL JOINs/21. Using JOIN and WHERE Together - Solution.html 525 Bytes24. SQL - SQL Subqueries/3. SQL Subqueries with IN Embedded Inside WHERE - Solution.html 522 Bytes21. SQL - Practical Application of the SQL SELECT Statement/35. Using Other Comparison Operators - Solution.html 507 Bytes33. Combining SQL and Tableau - Problem 3/4. Problem 3 Solution in SQL - Code.html 502 Bytes47. Integration - Data Preprocessing Step by Step/22. SOLUTION - How to Reorder Columns in a DataFrame in Python.html 471 Bytes21. SQL - Practical Application of the SQL SELECT Statement/26. Using Wildcard characters - Solution.html 462 Bytes23. SQL - SQL JOINs/7. The Functionality of INNER JOIN - PART II - Solution.html 443 Bytes23. SQL - SQL JOINs/12. The Functionality of LEFT JOIN - Part II - Exercise.html 441 Bytes25. SQL - Stored Routines/18. The Benefit of User-Defined Functions in MySQL - Exercise.html 432 Bytes21. SQL - Practical Application of the SQL SELECT Statement/22. Using LIKE - NOT LIKE - Exercise.html 427 Bytes23. SQL - SQL JOINs/26. The Functionality of CROSS JOIN - Solution 2.html 413 Bytes26. SQL - The CASE Statement/6. THE SQL CASE Statement - Exercise 3.html 411 Bytes23. SQL - SQL JOINs/24. 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Statistics - Inferential Statistics Fundamentals/5. The Normal Distribution.html 156 Bytes12. Statistics - Inferential Statistics Fundamentals/7. The Standard Normal Distribution.html 156 Bytes13. Statistics - Inferential Statistics Confidence Intervals/11. Margin of Error.html 156 Bytes13. Statistics - Inferential Statistics Confidence Intervals/2. What are Confidence Intervals.html 156 Bytes13. Statistics - Inferential Statistics Confidence Intervals/7. Student's T Distribution.html 156 Bytes15. Statistics - Hypothesis Testing/11. p-value.html 156 Bytes15. Statistics - Hypothesis Testing/19. Test for the mean. Independent samples (Part 2).html 156 Bytes15. Statistics - Hypothesis Testing/3. The Null vs Alternative Hypothesis.html 156 Bytes15. Statistics - Hypothesis Testing/5. Rejection Region and Significance Level.html 156 Bytes15. Statistics - Hypothesis Testing/7. Type I Error and Type II Error.html 156 Bytes17. Part 3 Relational Database Theory & Introduction to SQL/10. 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Part 3 Relational Database Theory & Introduction to SQL/8. Relational Database Fundamentals.html 156 Bytes19. SQL - Best SQL Practices/2. Coding Tips and Best Practices - I.html 156 Bytes19. SQL - Best SQL Practices/4. Coding Tips and Best Practices - II.html 156 Bytes2. Intro to Data and Data Science - The Different Data Science Fields/4. Intro to Business Analytics, Data Analytics, and Data Science.html 156 Bytes2. 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 Bytes2. Intro to Data and Data Science - The Different Data Science Fields/8. An Overview of our Data Science Infographic.html 156 Bytes25. SQL - Stored Routines/15. SQL Variables - Solution.html 156 Bytes25. SQL - Stored Routines/2. Defining Stored Routines.html 156 Bytes25. SQL - Stored Routines/21. Concluding Stored Routines.html 156 Bytes3. 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Python - Python Syntax Fundamentals/2. Using Arithmetic Operators in Python.html 156 Bytes38. Python - Python Syntax Fundamentals/4. What is the Double Equality Sign.html 156 Bytes38. Python - Python Syntax Fundamentals/6. How to Reassign Values.html 156 Bytes38. Python - Python Syntax Fundamentals/8. How to Add Comments.html 156 Bytes39. Python - Other Python Operators/2. Python's Comparison Operators.html 156 Bytes39. Python - Other Python Operators/4. Python's Logical and Identity Operators.html 156 Bytes4. 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 Bytes40. Python - Conditional Statements/2. Getting to know the IF Statement.html 156 Bytes40. Python - Conditional Statements/6. An Additional Explanation of Boolean Values.html 156 Bytes41. Python - Functions/8. Python - Functions.html 156 Bytes42. Python - Python Sequences/2. Introduction to Lists.html 156 Bytes42. Python - Python Sequences/4. 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Part 7 Integration - Software Integration/6. Become Better Acquainted with APIs.html 156 Bytes45. Part 7 Integration - Software Integration/8. Communication through Text Files.html 156 Bytes46. Integration - What is contained in this Course/4. Presenting the Data Set.html 156 Bytes5. Intro to Data and Data Science - Common Data Science Techniques/11. Traditional Methods Techniques.html 156 Bytes5. Intro to Data and Data Science - Common Data Science Techniques/14. Machine Learning (ML) Techniques.html 156 Bytes5. Intro to Data and Data Science - Common Data Science Techniques/16. Machine Learning (ML) Types of Machine Learning.html 156 Bytes5. Intro to Data and Data Science - Common Data Science Techniques/18. Machine Learning (ML) Real-life Examples.html 156 Bytes5. Intro to Data and Data Science - Common Data Science Techniques/2. Traditional Data Techniques.html 156 Bytes5. Intro to Data and Data Science - Common Data Science Techniques/5. Big Data Techniques.html 156 Bytes5. Intro to Data and Data Science - Common Data Science Techniques/8. Business Intelligence (BI) Techniques.html 156 Bytes6. Intro to Data and Data Science - Common Data Science Tools/2. Programming Languages & Software Employed in Data Science - All the Tools Needed.html 156 Bytes7. 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 Bytes8. Intro to Data and Data Science - Dispelling Common Misconceptions/2. Dispelling common Misconceptions.html 156 Bytes9. Part 2 Statistics - Population and Sample/2. Population and Sample.html 156 Bytes28. Tableau - Tableau functionalities/7.1 Inserting a filter - Tableau Public Link.html 155 Bytes29. Tableau - The Tableau Exercise/11.1 Adding a filter - Tableau Public Link.html 155 Bytes21. SQL - Practical Application of the SQL SELECT Statement/38. Using SELECT DISTINCT - Solution.html 154 Bytes28. Tableau - Tableau functionalities/6.1 Adding a custom calculation - Tableau Public Link.html 154 Bytes25. SQL - Stored Routines/11. Create Stored Procedures with an Output Parameter - Exercise.html 152 Bytes28. Tableau - Tableau functionalities/2.1 Creating a table - Tableau Public Link.html 151 Bytes29. Tableau - The Tableau Exercise/10.3 Creating a dashboard - Tableau Public Link.html 151 Bytes23. SQL - SQL JOINs/23. The Functionality of CROSS JOIN - Exercise 1.html 150 Bytes28. Tableau - Tableau functionalities/5.1 Addint totals and subtotals - Tableau Public Link.html 150 Bytes29. Tableau - The Tableau Exercise/4.3 Check the data - Tableau Public Link.html 150 Bytes21. SQL - Practical Application of the SQL SELECT Statement/2. Using SELECT - FROM - Exercise.html 149 Bytes29. Tableau - The Tableau Exercise/8.3 Second chart - Tableau Public Link.html 149 Bytes31. Combining SQL and Tableau - Problem 1/2. Problem 1 Task - Text.html 149 Bytes29. Tableau - The Tableau Exercise/7.2 First chart - Tableau Public Link.html 148 Bytes29. Tableau - The Tableau Exercise/9.3 Third chart - Tableau Public Link.html 148 Bytes22. SQL - Expanding on MySQL Aggregate Functions/14. Rounding Numbers with ROUND() - Exercise.html 145 Bytes27. Part 4 Introduction to Tableau/5.1 GDP Data - Tableau Public Link.html 144 Bytes29. Tableau - The Tableau Exercise/5.2 Check the data - Tableau Public Link.html 143 Bytes29. Tableau - The Tableau Exercise/6.1 Check the data - Tableau Public Link.html 143 Bytes47. Integration - Data Preprocessing Step by Step/19. SOLUTION - Concatenation in Python.html 142 Bytes21. SQL - Practical Application of the SQL SELECT Statement/17. Using IN - NOT IN - Exercise 1.html 140 Bytes23. SQL - SQL JOINs/6. The Functionality of INNER JOIN - PART II - Exercise.html 140 Bytes24. SQL - SQL Subqueries/2. SQL Subqueries with IN Embedded Inside WHERE - Exercise.html 138 Bytes47. Integration - Data Preprocessing Step by Step/24. EXERCISE - Using Checkpoints to Ease Your Work in Jupyter.html 137 Bytes
0. Websites you may like/[FCS Forum].url 133 Bytes47. Integration - Data Preprocessing Step by Step/12. EXERCISE - Splitting a Variable into Multiple Dummy Variables.html 129 Bytes22. SQL - Expanding on MySQL Aggregate Functions/8. MIN() and MAX() - Exercise.html 128 Bytes0. Websites you may like/[FreeCourseSite.com].url 127 Bytes30. Part 5 Combining SQL and Tableau - Introduction/4.2 The 'employees_mod' database.html 125 Bytes22. SQL - Expanding on MySQL Aggregate Functions/2. Applying COUNT() - Exercise.html 123 Bytes0. Websites you may like/[CourseClub.ME].url 122 Bytes20. SQL - Loading the 'employees' Database/2.1 The 'employees' database.html 121 Bytes21. SQL - Practical Application of the SQL SELECT Statement/19. Using IN - NOT IN - Exercise 2.html 118 Bytes22. SQL - Expanding on MySQL Aggregate Functions/5. Applying SUM() - Exercise.html 117 Bytes47. Integration - Data Preprocessing Step by Step/25. SOLUTION - Using Checkpoints to Ease Your Work in Jupyter.html 117 Bytes47. Integration - Data Preprocessing Step by Step/13. SOLUTION - Splitting a Variable into Multiple Dummy Variables.html 116 Bytes25. SQL - Stored Routines/6. An Example of Stored Procedures Part II - Exercise.html 114 Bytes47. Integration - Data Preprocessing Step by Step/9. SOLUTION - Dropping Variables We Don't Need.html 113 Bytes21. SQL - Practical Application of the SQL SELECT Statement/43. Using ORDER BY - Exercise.html 106 Bytes23. SQL - SQL JOINs/29. JOIN More than Two Tables - Exercise.html 105 Bytes22. SQL - Expanding on MySQL Aggregate Functions/11. Applying AVG() - Exercise.html 102 Bytes21. SQL - Practical Application of the SQL SELECT Statement/5. Using WHERE - Exercise.html 93 Bytes23. SQL - SQL JOINs/32. Top Tips for Joins - Exercise.html 93 Bytes21. SQL - Practical Application of the SQL SELECT Statement/14. Operator Precedence and Logical Order - Exercise.html 92 Bytes21. SQL - Practical Application of the SQL SELECT Statement/11. Using OR - Exercise.html 85 Bytes21. SQL - Practical Application of the SQL SELECT Statement/31. Using IS NOT NULL - IS NULL - Exercise.html 85 Bytes13. Statistics - Inferential Statistics Confidence Intervals/13. Confidence intervals. Two means. Dependent samples Exercise.html 82 Bytes13. Statistics - Inferential Statistics Confidence Intervals/15. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html 82 Bytes13. Statistics - Inferential Statistics Confidence Intervals/17. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html 82 Bytes13. Statistics - Inferential Statistics Confidence Intervals/9. Confidence Intervals; Population Variance Unknown; t-score Exercise.html 82 Bytes14. Statistics - Practical Example Inferential Statistics/2. Practical Example Inferential Statistics Exercise.html 82 Bytes15. Statistics - Hypothesis Testing/13. Test for the Mean. Population Variance Unknown Exercise.html 82 Bytes15. Statistics - Hypothesis Testing/15. Test for the Mean. Dependent Samples Exercise.html 82 Bytes15. Statistics - Hypothesis Testing/17. Test for the mean. Independent samples (Part 1). Exercise.html 82 Bytes15. Statistics - Hypothesis Testing/20. Test for the mean. Independent samples (Part 2).html 82 Bytes15. Statistics - Hypothesis Testing/9. Test for the Mean. Population Variance Known Exercise.html 82 Bytes16. Statistics - Practical Example Hypothesis Testing/2. Practical Example Hypothesis Testing Exercise.html 82 Bytes10. Statistics - Descriptive Statistics/10. Numerical Variables Exercise.html 81 Bytes10. Statistics - Descriptive Statistics/13. Histogram Exercise.html 81 Bytes10. Statistics - Descriptive Statistics/16. Cross Tables and Scatter Plots Exercise.html 81 Bytes10. Statistics - Descriptive Statistics/18. Mean, Median and Mode Exercise.html 81 Bytes10. Statistics - Descriptive Statistics/21. Skewness Exercise.html 81 Bytes10. Statistics - Descriptive Statistics/23. Variance Exercise.html 81 Bytes10. Statistics - Descriptive Statistics/26. Standard Deviation and Coefficient of Variation Exercise.html 81 Bytes10. Statistics - Descriptive Statistics/29. Covariance Exercise.html 81 Bytes10. Statistics - Descriptive Statistics/32. Correlation Coefficient Exercise.html 81 Bytes10. Statistics - Descriptive Statistics/7. Categorical Variables Exercise.html 81 Bytes11. Statistics - Practical Example Descriptive Statistics/2. Practical Example Exercise.html 81 Bytes12. Statistics - Inferential Statistics Fundamentals/8. The Standard Normal Distribution Exercise.html 81 Bytes13. Statistics - Inferential Statistics Confidence Intervals/4. Confidence Intervals; Population Variance Known; z-score Exercise.html 81 Bytes21. SQL - Practical Application of the SQL SELECT Statement/8. Using AND - Exercise.html 78 Bytes21. SQL - Practical Application of the SQL SELECT Statement/57. Using LIMIT - Exercise.html 65 Bytes18. SQL - Install and get to know MySQL/4. The Client-Server Model.html 30 Bytes24. 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