1. Part 1 Introduction

  1. What Does the Course Cover.srt

  1.2 Course Resources - Complete Package.html

 10. Statistics - Descriptive Statistics

  1. Types of Data.srt

  10. Numerical Variables Exercise.html

  10.2 2.4. Numerical variables. Frequency distribution table_exercise.xlsx.xlsx

  11. The Histogram.srt

  12. The Histogram.html

  13.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf.pdf

  13.3 2.5. The Histogram_exercise.xlsx.xlsx

  14. Cross Table and Scatter Plot.srt

  15. Cross Tables and Scatter Plots.html

  16.1 2.6. Cross table and scatter plot_exercise_solution.xlsx.xlsx

  17. Mean, median and mode.mp4

  17.1 2.7. Mean, median and mode_lesson.xlsx.xlsx

  18.1 2.7. Mean, median and mode_exercise.xlsx.xlsx

  19. Skewness.mp4

  19.1 2.8. Skewness_lesson.xlsx.xlsx

  20. Skewness.html

  21.1 2.8. Skewness_exercise_solution.xlsx.xlsx

  22. Variance.mp4

  22.1 2.9. Variance_lesson.xlsx.xlsx

  23.1 2.9. Variance_exercise_solution.xlsx.xlsx

  24. Standard Deviation and Coefficient of Variation.mp4

  24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx.xlsx

  26. Standard Deviation and Coefficient of Variation Exercise.html

  26.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx.xlsx

  27. Covariance.srt

  28. Covariance.html

  29.1 2.11. Covariance_exercise.xlsx.xlsx

  3. Levels of Measurement.mp4

  30. Correlation Coefficient.mp4

  30.1 2.12. Correlation_lesson.xlsx.xlsx

  32. Correlation Coefficient Exercise.html

  32.2 2.12. Correlation_exercise.xlsx.xlsx

  5. Categorical Variables - Visualization Techniques.mp4

  5.1 2.3. Categorical variables. Visualization techniques_lesson.xlsx.xlsx

  7. Categorical Variables Exercise.html

  7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx.xlsx

  8. Numerical Variables - Frequency Distribution Table.mp4

  8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx.xlsx

 11. Statistics - Practical Example Descriptive Statistics

  1. Practical Example.srt

  2. Practical Example Exercise.html

  2.2 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx.xlsx

 12. Statistics - Inferential Statistics Fundamentals

  1. Introduction.srt

  10. Central Limit Theorem.html

  11. Standard error.srt

  13. Estimators and Estimates.mp4

  14. Estimators and Estimates.html

  2. What is a Distribution.srt

  2.2 Course notes_inferential statistics.pdf.pdf

  4. The Normal Distribution.mp4

  5. The Normal Distribution.html

  6. The Standard Normal Distribution.srt

  7. The Standard Normal Distribution.html

  8.1 3.4.Standard-normal-distribution-exercise.xlsx.xlsx

  9. Central Limit Theorem.mp4

 13. Statistics - Inferential Statistics Confidence Intervals

  1. What are Confidence Intervals.srt

  10. Margin of Error.srt

  12. Confidence intervals. Two means. Dependent samples.mp4

  12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx.xlsx

  13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx.xlsx

  14. Confidence intervals. Two means. Independent samples (Part 1).mp4

  14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx.xlsx

  15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx.xlsx

  16. Confidence intervals. Two means. Independent samples (Part 2).mp4

  16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx.xlsx

  17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx.xlsx

  18. Confidence intervals. Two means. Independent samples (Part 3).mp4

  2. What are Confidence Intervals.html

  3. Confidence Intervals; Population Variance Known; z-score.srt

  3.2 3.9.The-z-table.xlsx.xlsx

  4.1 3.9. Population variance known, z-score_exercise_solution.xlsx.xlsx

  4.3 3.9.The-z-table.xlsx.xlsx

  5. Confidence interval clarifications.srt

  6. Student's T Distribution.srt

  8. Confidence Intervals; Population Variance Unknown; t-score.mp4

  8.1 3.11. The t-table.xlsx.xlsx

  9. Confidence Intervals; Population Variance Unknown; t-score Exercise.html

  9.2 3.11. Population variance unknown, t-score_exercise_solution.xlsx.xlsx

 14. Statistics - Practical Example Inferential Statistics

  1. Practical Example Inferential Statistics.srt

  2. Practical Example Inferential Statistics Exercise.html

  2.2 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx.xlsx

 15. Statistics - Hypothesis Testing

  1. The Null vs Alternative Hypothesis.srt

  10. p-value.mp4

  10.1 Online p-value calculator.pdf.pdf

  12. Test for the Mean. Population Variance Unknown.mp4

  12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx.xlsx

  13.1 4.6. Test-for-the-mean.Population-variance-unknown-exercise.xlsx.xlsx

  14. Test for the Mean. Dependent Samples.mp4

  14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx.xlsx

  15.1 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx.xlsx

  16. Test for the mean. Independent samples (Part 1).mp4

  16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx.xlsx

  17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx.xlsx

  18. Test for the mean. Independent samples (Part 2).mp4

  18.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx.xlsx

  2. Further Reading on Null and Alternative Hypothesis.html

  20.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx.xlsx

  3. The Null vs Alternative Hypothesis.html

  4. Rejection Region and Significance Level.srt

  5. Rejection Region and Significance Level.html

  6. Type I Error and Type II Error.srt

  8. Test for the Mean. Population Variance Known.mp4

  8.1 4.4. Test for the mean. Population variance known_lesson.xlsx.xlsx

  9.1 4.4. Test for the mean. Population variance known_exercise.xlsx.xlsx

 16. Statistics - Practical Example Hypothesis Testing

  1. Practical Example Hypothesis Testing.srt

  2. Practical Example Hypothesis Testing Exercise.html

  2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx.xlsx

 17. Part 3 Relational Database Theory & Introduction to SQL

  1. Why use SQL.srt

  11. Important Database Terminology.mp4

  12. Important Database Terminology.html

  13. The Concept of Relational Schemas Primary Key.srt

  15. The Concept of Relational Schemas Foreign Key.mp4

  16. The Concept of Relational Schemas Foreign Key.html

  17. The Concept of Relational Schemas Unique Key and Null Values.srt

  19. The Concept of Relational Schemas Relationships Between Tables.mp4

  2. Why use SQL.html

  3. Why use MySQL.mp4

  4. Why use MySQL.html

  5. Introducing Databases.srt

  7. Relational Database Fundamentals.mp4

  8. Relational Database Fundamentals.html

  9. Comparing Databases and Spreadsheets.srt

 18. SQL - Install and get to know MySQL

  1. Installing MySQL Workbench and Server.srt

  3. Installing MySQL on macOS and Unix systems.html

  4.1 The Client-Server Model.pdf.pdf

  5. Linking GUI with the MySQL Server.srt

  7. Creating a New User and a New Connection to it.mp4

  8. Familiarize Yourself with the MySQL Interface.mp4

 19. SQL - Best SQL Practices

  1. Coding Tips and Best Practices - I.srt

  2. Coding Tips and Best Practices - I.html

  3. Coding Tips and Best Practices - II.srt

 2. Intro to Data and Data Science - The Different Data Science Fields

  1. Why Are There So Many Business and Data Science Buzzwords.srt

  2. Analysis vs Analytics.srt

  3. Intro to Business Analytics, Data Analytics, and Data Science.srt

  4. Intro to Business Analytics, Data Analytics, and Data Science.html

  5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.srt

  5.2 365_DataScience.png.png

  7. An Overview of our Data Science Infographic.mp4

  7.1 365_DataScience.png.png

 20. SQL - Loading the 'employees' Database

  1. Loading the 'employees' Database.srt

  2. Loading the 'employees' Database.html

  2.2 employees_db.pdf.pdf

 21. SQL - Practical Application of the SQL SELECT Statement

  1. Using SELECT - FROM.srt

  10. Using OR.srt

  12. Using OR - Solution.html

  13. Operator Precedence and Logical Order.srt

  15. Operator Precedence and Logical Order - Solution.html

  16. Using IN - NOT IN.srt

  18. Using IN - NOT IN - Solution 1.html

  2. Using SELECT - FROM - Exercise.html

  21. Using LIKE - NOT LIKE.mp4

  22. Using LIKE - NOT LIKE - Exercise.html

  24. Using Wildcard Characters.mp4

  25. Using Wildcard characters - Exercise.html

  27. Using BETWEEN - AND.mp4

  28. Using BETWEEN - AND - Exercise.html

  3. Using SELECT - FROM - Solution.html

  30. Using IS NOT NULL - IS NULL.srt

  32. Using IS NOT NULL - IS NULL - Solution.html

  33. Using Other Comparison Operators.srt

  35. Using Other Comparison Operators - Solution.html

  36. Using SELECT DISTINCT.srt

  38. Using SELECT DISTINCT - Solution.html

  39. Getting to Know Aggregate Functions.srt

  4. Using WHERE.srt

  41. Getting to Know Aggregate Functions - Solution.html

  42. Using ORDER BY.srt

  44. Using ORDER BY - Solution.html

  45. Using GROUP BY.srt

  46. Using Aliases (AS).srt

  48. Using Aliases (AS) - Solution.html

  49. Using HAVING.srt

  50. Using HAVING - Exercise.html

  52. Using WHERE vs HAVING - Part I.mp4

  53. Using WHERE vs HAVING - Part II.mp4

  54. Using WHERE vs HAVING - Part II - Exercise.html

  56. Using LIMIT.mp4

  57. Using LIMIT - Exercise.html

  6. Using WHERE - Solution.html

  7. Using AND.srt

  9. Using AND - Solution.html

 22. SQL - Expanding on MySQL Aggregate Functions

  1. Applying COUNT().srt

  10. Applying AVG().srt

  12. Applying AVG() - Solution.html

  13. Rounding Numbers with ROUND().srt

  15. Rounding Numbers with ROUND() - Solution.html

  3. Applying COUNT() - Solution.html

  4. Applying SUM().srt

  6. Applying SUM() - Solution.html

  7. MIN() and MAX().srt

  9. MIN() and MAX() - Solution.html

 23. SQL - SQL JOINs

  1. What are JOINs.srt

  10. The Functionality of LEFT JOIN - Part I.srt

  11. The Functionality of LEFT JOIN - Part II.srt

  13. The Functionality of LEFT JOIN - Part II - Solution.html

  14. The Functionality of RIGHT JOIN.srt

  15. Differences between the New and the Old Join Syntax.srt

  17. Differences between the New and the Old Join Syntax - Solution.html

  18. Using JOIN and WHERE Together.srt

  2. What are JOINs - Exercise 1.html

  21. Using JOIN and WHERE Together - Solution.html

  22. The Functionality of CROSS JOIN.srt

  24. The Functionality of CROSS JOIN - Solution 1.html

  26. The Functionality of CROSS JOIN - Solution 2.html

  27. Combining Aggregate Functions with Joins.srt

  28. JOIN More than Two Tables.srt

  3. What are JOINs - Exercise 2.html

  31. Top Tips for Joins.mp4

  32. Top Tips for Joins - Exercise.html

  34. The Differences Between UNION and UNION ALL.mp4

  35. The Differences Between UNION and UNION ALL - Exercise.html

  4. The Functionality of INNER JOIN - Part I.mp4

  5. The Functionality of INNER JOIN - Part II.mp4

  6. The Functionality of INNER JOIN - PART II - Exercise.html

  8. Extra Info on Using Joins.mp4

  9. Duplicate Rows.mp4

 24. SQL - SQL Subqueries

  1. SQL Subqueries with IN Embedded Inside WHERE.srt

  10.1 Subqueries SELECT FROM Solution.sql.sql

  3. SQL Subqueries with IN Embedded Inside WHERE - Solution.html

  4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.srt

  6. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Solution.html

  7. SQL Subqueries Nested in SELECT and FROM.srt

  9. SQL Subqueries Embedded in SELECT and FROM - Exercise 2.html

 25. SQL - Stored Routines

  1. Defining Stored Routines.srt

  10. Create Stored Procedures with an Output Parameter.srt

  12. Stored Procedures with an Output Parameter - Solution.html

  13. SQL Variables.srt

  15. SQL Variables - Solution.html

  16. The Benefit of User-Defined Functions in MySQL.srt

  18. The Benefit of User-Defined Functions in MySQL - Exercise.html

  2. Defining Stored Routines.html

  20. Concluding Stored Routines.srt

  3. Create Stored Procedures with MySQL Syntax.mp4

  4. An Example of Stored Procedures Part I.mp4

  5. An Example of Stored Procedures Part II.mp4

  6. An Example of Stored Procedures Part II - Exercise.html

  8. Creating a Procedure in MySQL Another Way.mp4

  9. Create Stored Procedures with an Input Parameter.mp4

 26. SQL - The CASE Statement

  1. The SQL CASE Statement.srt

  3. THE SQL CASE Statement - Solution 1.html

  5. THE SQL CASE Statement - Solution 2.html

  7. THE SQL CASE Statement - Solution 3.html

 27. Part 4 Introduction to Tableau

  1. Why Use Tableau Make Your Data Make an Impact.srt

  2. Let's Download Tableau Public.srt

  3. Connecting Data in Tableau.srt

  4. Exploring Tableau's Interface.mp4

  4.1 GDP Data.xls.xls

  5. Let's Create our first Chart in Tableau!.srt

  5.2 GDP Data - Tableau Public Link.html

 28. Tableau - Tableau functionalities

  1. Duplicating a Sheet.srt

  2. Creating a Table.mp4

  2.1 Creating a table - Tableau Public Link.html

  3. Creating Custom Fields.mp4

  3.1 Tesla sales data.xlsx.xlsx

  4. Creating a Custom Field and Adding Calculations to a Table.mp4

  4.1 Tesla sales data.xlsx.xlsx

  5. Adding Totals and Subtotals.mp4

  5.1 Addint totals and subtotals - Tableau Public Link.html

  6. Adding a Custom Calculation.mp4

  6.1 Adding a custom calculation - Tableau Public Link.html

  7. Inserting a Filter.srt

  8. Working with Joins in Tableau.mp4

  8.1 13. Types of Joins.xlsx.xlsx

 29. Tableau - The Tableau Exercise

  1. Introduction to the Exercise.srt

  1.2 Audiobook sales.xlsx.xlsx

  10. Creating and Formatting a Dashboard.srt

  10.2 Audiobook sales.xlsx.xlsx

  11. Adding Interactive Filters for Improved Analysis.mp4

  11.1 Audiobook reviews.xlsx.xlsx

  11.3 Audiobook sales.xlsx.xlsx

  12. Interactive Filters - fix.srt

  2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.srt

  3. Using Joins in Tableau.srt

  3.2 Audiobook reviews.xlsx.xlsx

  4. Performing a Numbers Check - Attempt #1.srt

  4.2 Check the data - Tableau Public Link.html

  5. Blending Data in Tableau.mp4

  5.1 Check the data - Tableau Public Link.html

  5.3 Audiobook reviews.xlsx.xlsx

  6. Performing a Numbers Check - Attempt #2.srt

  6.2 Audiobook sales.xlsx.xlsx

  7. First Chart.mp4

  7.1 Audiobook reviews.xlsx.xlsx

  7.3 First chart - Tableau Public Link.html

  8. Second Chart.srt

  8.2 Audiobook reviews.xlsx.xlsx

  9. Third Chart.mp4

  9.1 Audiobook sales.xlsx.xlsx

  9.3 Third chart - Tableau Public Link.html

 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

  2. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.html

 30. Part 5 Combining SQL and Tableau - Introduction

  1. Introduction to Software Integration.srt

  2. Combining SQL and Tableau.srt

  3. Loading the Database.srt

  4.1 The 'employees_mod' database.html

 31. Combining SQL and Tableau - Problem 1

  1. Problem 1 Task.srt

  2. Problem 1 Task - Text.html

  4. Problem 1 Solution in SQL.mp4

  5. Problem 1 Solution in SQL - Code.html

  6. Exporting Your Output from SQL and Loading it in Tableau.srt

  7. Chart 1 Visualizing the Solution in Tableau - Part I.srt

  8. Chart 1 Visualizing the Solution in Tableau - Part II.srt

 32. Combining SQL and Tableau - Problem 2

  1. Problem 2 Task.srt

  3. Problem 2 Solution in SQL.mp4

  4. Problem 2 Solution in SQL - Code.html

  5. Chart 2 Visualizing the Solution in Tableau.srt

 33. Combining SQL and Tableau - Problem 3

  1. Problem 3 Task.srt

  3. Problem 3 Solution in SQL.mp4

  4. Problem 3 Solution in SQL - Code.html

  5. Chart 3 Visualizing the Solution in Tableau.srt

 34. Combining SQL and Tableau - Problem 4

  1. Problem 4 Task.srt

  3. Problem 4 Solution in SQL.mp4

  4. Problem 4 Solution in SQL - Code.html

  5. Chart 4 Visualizing the Solution in Tableau.srt

 35. Combining SQL and Tableau - Problem 5

  1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.srt

 36. Part 6 Introduction to Programming with Python

  1. A 5-minute explanation of Programming.srt

  11. Python 2 vs Python 3.mp4

  11.1 Python Introduction - Course Notes.pdf.pdf

  3. Why use Python.mp4

  4. Why Use Python.html

  5. Why use Jupyter.srt

  7. How to Install Python and Jupyter.mp4

  8. Understanding Jupyter’s Interface – Dashboard.mp4

  9. Understanding Jupyter’s Interface – Prerequisites for Coding.mp4

  9.1 Jupyter_Shortcuts.pdf.pdf

 37. Python - Python Variables and Data Types

  1. Python Variables.srt

  1.2 Python Variables - Resources.html

  3. Understanding Numbers and Boolean Values.mp4

  3.1 Understanding Numbers and Boolean Values - Resources.html

  5. Strings.mp4

  5.1 Strings - Resources.html

 38. Python - Python Syntax Fundamentals

  1. The Arithmetic Operators of Python.srt

  10. How to Index Elements.mp4

  10.1 Indexing Elements - Resources.html

  12. How to Structure Your Code with Indentation.mp4

  12.1 Structure Your Code with Indentation - Resources.html

  2. Using Arithmetic Operators in Python.html

  3. What is the Double Equality Sign.srt

  4. What is the Double Equality Sign.html

  5. How to Reassign Values.srt

  6. How to Reassign Values.html

  7. How to Add Comments.srt

  8. How to Add Comments.html

  9. Understanding Line Continuation.srt

 39. Python - Other Python Operators

  1. Python's Comparison Operators.srt

  2. Python's Comparison Operators.html

  3. Python's Logical and Identity Operators.srt

  4. Python's Logical and Identity Operators.html

 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

 40. Python - Conditional Statements

  1. Getting to know the IF Statement.srt

  2. Getting to know the IF Statement.html

  3. Adding an ELSE statement.srt

  4. Else if, for Brief – ELIF.mp4

  4.1 Else if, for Brief - Elif - Resources.html

  5. An Additional Explanation of Boolean Values.srt

  6. An Additional Explanation of Boolean Values.html

 41. Python - Functions

  1. How to Define a Function in Python.srt

  2. How to Create a Function with a Parameter.mp4

  2.1 Creating a Function with a Parameter - Resources.html

  3. Define a Function in Another Way.srt

  4. How to use a Function within a Function.mp4

  4.1 Using a Function in Another Function - Resources.html

  5. Use Conditional Statements and Functions Together.srt

  6. How to Create Functions Which Contain a Few Arguments.mp4

  6.1 Creating Functions Containing a Few Arguments - Resources.html

  7. Built-In Functions in Python Worth Knowing.srt

  8. Python - Functions.html

 42. Python - Python Sequences

  1. Introduction to Lists.srt

  2. Introduction to Lists.html

  3. Using Methods in Python.srt

  4. Using Methods in Python.html

  5. What is List Slicing.srt

  6. Working with Tuples.mp4

  6.1 Tuples - Resources.html

  7. Python Dictionaries.srt

  8. Python Dictionaries.html

 43. Python - Using Iterations

  1. Using For Loops.srt

  2. For Loops.html

  3. Using While Loops and Incrementing.srt

  4. Use the range() Function to Create Lists.mp4

  4.1 Create Lists with the range() Function - Resources.html

  6. Combine Conditional Statements and Loops.mp4

  6.1 Use Conditional Statements and Loops Together - Resources.html

  7. All In – Conditional Statements, Functions, and Loops.srt

  8. How to Iterate over Dictionaries.mp4

  8.1 Iterating over Dictionaries - Resources.html

 44. Python - Advanced Python tools

  1. Introduction to Object Oriented Programming (OOP).srt

  3. Using Modules and Packages.mp4

  4. Using Modules and Packages.html

  5. What is the Standard Library.srt

  7. How to Import Modules in Python.mp4

  8. How to Import Modules in Python.html

 45. Part 7 Integration - Software Integration

  1. Getting Started with Data, Servers, Clients, Requests, and Responses.srt

  2. Getting Started with Data, Servers, Clients, Requests, and Responses.html

  3. Getting Started with Data Connectivity, APIs, and Endpoints.srt

  5. Become Better Acquainted with APIs.mp4

  6. Become Better Acquainted with APIs.html

  7. Communication through Text Files.srt

  9. What is Software Integration and How is it Applied.mp4

 46. Integration - What is contained in this Course

  1. Solving a Business Exercise with Python, SQL, and Tableau.srt

  2. Presenting the Task Absenteeism at Work.srt

  3. Presenting the Data Set.srt

 47. Integration - Data Preprocessing Step by Step

  1.1 Absenteeism_data.csv.csv

  1.3 data_preprocessing_homework.pdf.pdf

  10. A Deeper Look at the 'Reasons for Absence' Column.srt

  11. Splitting a Variable into Multiple Dummy Variables.srt

  13. SOLUTION - Splitting a Variable into Multiple Dummy Variables.html

  15. A Statistical Perspective on Dummy Variables.mp4

  16. Categorizing the Various Reasons for Absence.mp4

  17. Concatenation in Python.mp4

  18. EXERCISE - Concatenation in Python.html

  2. How to Import the Data Set in Python.mp4

  20. How to Reorder Columns in a DataFrame in Python.mp4

  21. EXERCISE - How to Reorder Columns in a DataFrame in Python.html

  23. Using Checkpoints to Ease Your Work in Jupyter.mp4

  23.1 Using Checkpoints.html

  25. SOLUTION - Using Checkpoints to Ease Your Work in Jupyter.html

  26. Analyzing the Date Column.srt

  27. Retrieving the Month Value From the Date Column.srt

  28. Adding the Day of the Week Column.srt

  29.1 Dropping Columns.html

  3. Exploring the Data Set.mp4

  30. Analysis of the Next 5 Columns in DF.mp4

  31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp4

  32. A Final Note on this Section.mp4

  32.1 Exercises and solutions.html

  4. Programming vs the Rest of the World.mp4

  5. A Brief Summary of Regression Analysis.html

  6. The Approach we will Take to Solve this Exercise.srt

  7. Dropping Variables We Don't Need.srt

  9. SOLUTION - Dropping Variables We Don't Need.html

 48. Integration - Integrating Python and SQL

  1. How to Use the 'absenteeism_module' in Python - Part I.srt

  10. Sending Data from Jupyter to Workbench - Part II.mp4

  11. Sending Data from Jupyter to Workbench - Part III.mp4

  11.1 Integration.html

  2. How to Use the 'absenteeism_module' in Python - Part II.srt

  3. Creating the 'predicted_outputs' Database in MySQL.srt

  4. Importing 'pymysql' in Python.srt

  5. Creating a Connection and Cursor.srt

  7. Creating the 'predicted_outputs' Table in MySQL.mp4

  8. Executing and SQL SELECT Statement from Python.mp4

  9. Sending Data from Jupyter to Workbench - Part I.mp4

 49. Integration - Using Tableau to Analyze the Predicted Outputs

  2. Using Tableau to Analyze Age vs Probability.mp4

  3. EXERCISE - Reasons vs Probability.html

  4. Using Tableau to Analyze Reasons vs Probability.srt

  6. Using Tableau to Analyze Transportation Expense vs Probability.mp4

 5. Intro to Data and Data Science - Common Data Science Techniques

  1. Traditional Data Techniques.srt

  10. Traditional Methods Techniques.srt

  12. Traditional Methods Real-life Examples.mp4

  13. Machine Learning (ML) Techniques.mp4

  14. Machine Learning (ML) Techniques.html

  15. Machine Learning (ML) Types of Machine Learning.srt

  17. Machine Learning (ML) Real-life Examples.mp4

  18. Machine Learning (ML) Real-life Examples.html

  3. Traditional Data Real-life Examples.mp4

  4. Big Data Techniques.mp4

  5. Big Data Techniques.html

  6. Big Data Real-life Examples.srt

  7. Business Intelligence (BI) Techniques.srt

  9. Business Intelligence (BI) Real-life Examples.mp4

 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. Intro to Data and Data Science - Data Science Career Paths

  1. Data Science Job Positions What do they Involve and What to Look out for.srt

 8. Intro to Data and Data Science - Dispelling Common Misconceptions

  1. Dispelling common Misconceptions.srt

 9. Part 2 Statistics - Population and Sample

  1. Population vs sample.srt

  1.2 Course notes_descriptive_statistics.pdf.pdf

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