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What you’ll learn
  • Become an expert in Statistics, SQL, Tableau, and problem solving
  • Boost your resume with in-demand skills

  • Gather, organize, analyze and visualize data

  • Use data for improved business decision-making
  • Present information in the form of metrics, KPIs, reports, and dashboards
  • Perform quantitative and qualitative business analysis
  • Analyze current and historical data
  • Discover how to find trends, market conditions, and research competitor positioning
  • Understand the fundamentals of database theory
  • Use SQL to create, design, and manipulate SQL databases
  • Extract data from a database writing your own queries
  • Create powerful professional visualizations in Tableau
  • Combine SQL and Tableau to visualize data from the source
  • Solve real-world business analysis tasks in SQL and Tableau

Course Curriculum

1. Part 1 Introduction
1. What Does the Course Cover 00:00:00
2. Intro to Data and Data Science - The Different Data Science Fields
1. Why Are There So Many Business and Data Science Buzzwords 00:00:00
2. Analysis vs Analytics 00:00:00
3. Intro to Business Analytics, Data Analytics, and Data Science 00:00:00
4. Intro to Business Analytics, Data Analytics, and Data Science 00:00:00
5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture 00:00:00
6. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture 00:00:00
7. An Overview of our Data Science Infographic 00:00:00
Documents 00:00:00
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 00:00:00
2. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied 00:00:00
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 00:00:00
2. Why do we Need each of these Disciplines 00:00:00
5. Intro to Data and Data Science - Common Data Science Techniques
1. Traditional Data Techniques 00:00:00
2. Traditional Data Techniques 00:00:00
3. Traditional Data Real-life Examples 00:00:00
4. Big Data Techniques 00:00:00
5. Big Data Techniques 00:00:00
6. Big Data Real-life Examples 00:00:00
7. Business Intelligence (BI) Techniques 00:00:00
8. Business Intelligence (BI) Techniques 00:00:00
9. Business Intelligence (BI) Real-life Examples 00:00:00
10. Traditional Methods Techniques 00:00:00
11. Traditional Methods Techniques 00:00:00
12. Traditional Methods Real-life Examples 00:00:00
13. Machine Learning (ML) Techniques 00:00:00
14. Machine Learning (ML) Techniques 00:00:00
15. Machine Learning (ML) Types of Machine Learning 00:00:00
16. Machine Learning (ML) Types of Machine Learning 00:00:00
17. Machine Learning (ML) Real-life Examples 00:00:00
18. Machine Learning (ML) Real-life Examples 00:00:00
6. Intro to Data and Data Science - Common Data Science Tools
1. Programming Languages & Software Employed in Data Science – All the Tools Needed 00:00:00
2. Programming Languages & Software Employed in Data Science – All the Tools Needed 00:00:00
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 00:00:00
2. Data Science Job Positions What do they Involve and What to Look out for 00:00:00
8. Intro to Data and Data Science - Dispelling Common Misconceptions
1. Dispelling common Misconceptions 00:00:00
2. Dispelling common Misconceptions 00:00:00
9. Part 2 Statistics - Population and Sample
1. Population vs sample 00:00:00
2. Population and Sample 00:00:00
10. Statistics - Descriptive Statistics
1. Types of Data 00:00:00
2. Types of data 00:00:00
3. Levels of Measurement 00:00:00
4. Levels of measurement 00:00:00
5. Categorical Variables – Visualization Techniques 00:00:00
6. Categorical variables. Visualization Techniques 00:00:00
7. Categorical Variables Exercise 00:00:00
8. Numerical Variables – Frequency Distribution Table 00:00:00
9. Numerical variables. Using a frequency distribution table 00:00:00
10. Numerical Variables Exercise 00:00:00
11. The Histogram 00:00:00
12. The Histogram 00:00:00
13. Histogram Exercise 00:00:00
14. Cross Table and Scatter Plot 00:00:00
15. Cross Tables and Scatter Plots 00:00:00
16. Cross Tables and Scatter Plots Exercise 00:00:00
17. Mean, median and mode 00:00:00
19. Skewness 00:00:00
22. Variance 00:00:00
24. Standard Deviation and Coefficient of Variation 00:00:00
27. Covariance 00:00:00
30. Correlation Coefficient 00:00:00
11. Statistics - Practical Example Descriptive Statistics
1. Practical Example 00:00:00
2. Practical Example Exercise 00:00:00
12. Statistics - Inferential Statistics Fundamentals
1. Introduction 00:00:00
2. What is a Distribution 00:00:00
3. What is a Distribution 00:00:00
4. The Normal Distribution 00:00:00
5. The Normal Distribution 00:00:00
6. The Standard Normal Distribution 00:00:00
7. The Standard Normal Distribution 00:00:00
8. The Standard Normal Distribution Exercise 00:00:00
9. Central Limit Theorem 00:00:00
10. Central Limit Theorem 00:00:00
11. Standard error 00:00:00
12. Standard error 00:00:00
13. Estimators and Estimates 00:00:00
14. Estimators and Estimates 00:00:00
13. Statistics - Inferential Statistics Confidence Intervals
1. What are Confidence Intervals 00:00:00
2. What are Confidence Intervals 00:00:00
3. Confidence Intervals; Population Variance Known; z-score 00:00:00
4. Confidence Intervals; Population Variance Known; z-score Exercise 00:00:00
5. Confidence interval clarifications 00:00:00
6. Student’s T Distribution 00:00:00
7. Student’s T Distribution 00:00:00
8. Confidence Intervals; Population Variance Unknown; t-score 00:00:00
9. Confidence Intervals; Population Variance Unknown; t-score Exercise 00:00:00
10. Margin of Error 00:00:00
11. Margin of Error 00:00:00
12. Confidence intervals. Two means. Dependent samples 00:00:00
13. Confidence intervals. Two means. Dependent samples Exercise 00:00:00
14. Confidence intervals. Two means. Independent samples (Part 1) 00:00:00
15. Confidence intervals. Two means. Independent samples (Part 1) Exercise 00:00:00
16. Confidence intervals. Two means. Independent samples (Part 2) 00:00:00
17. Confidence intervals. Two means. Independent samples (Part 2) Exercise 00:00:00
18. Confidence intervals. Two means. Independent samples (Part 3) 00:00:00
Documents 00:00:00
14. Statistics - Practical Example Inferential Statistics
1. Practical Example Inferential Statistics 00:00:00
2. Practical Example Inferential Statistics Exercise 00:00:00
15. Statistics - Hypothesis Testing
1. The Null vs Alternative Hypothesis 00:00:00
2. Further Reading on Null and Alternative Hypothesis 00:00:00
3. The Null vs Alternative Hypothesis 00:00:00
4. Rejection Region and Significance Level 00:00:00
5. Rejection Region and Significance Level 00:00:00
6. Type I Error and Type II Error 00:00:00
7. Type I Error and Type II Error 00:00:00
8. Test for the Mean. Population Variance Known 00:00:00
9. Test for the Mean. Population Variance Known Exercise 00:00:00
10. p-value 00:00:00
11. p-value 00:00:00
12. Test for the Mean. Population Variance Unknown 00:00:00
13. Test for the Mean. Population Variance Unknown Exercise 00:00:00
14. Test for the Mean. Dependent Samples 00:00:00
15. Test for the Mean. Dependent Samples Exercise 00:00:00
16. Test for the mean. Independent samples (Part 1) 00:00:00
17. Test for the mean. Independent samples (Part 1). Exercise 00:00:00
18. Test for the mean. Independent samples (Part 2) 00:00:00
19. Test for the mean. Independent samples (Part 2) 00:00:00
20. Test for the mean. Independent samples (Part 2) 00:00:00
16. Statistics - Practical Example Hypothesis Testing
1. Practical Example Hypothesis Testing 00:00:00
2. Practical Example Hypothesis Testing Exercise 00:00:00
Documents 00:00:00
17. Part 3 Relational Database Theory and Introduction to SQL
1. Why use SQL 00:00:00
2. Why use SQL 00:00:00
3. Why use MySQL 00:00:00
4. Why use MySQL 00:00:00
5. Introducing Databases 00:00:00
6. Introducing Databases 00:00:00
7. Relational Database Fundamentals 00:00:00
8. Relational Database Fundamentals 00:00:00
9. Comparing Databases and Spreadsheets 00:00:00
10. Comparing Databases and Spreadsheets 00:00:00
11. Important Database Terminology 00:00:00
12. Important Database Terminology 00:00:00
13. The Concept of Relational Schemas Primary Key 00:00:00
14. The Concept of Relational Schemas Primary Key 00:00:00
15. The Concept of Relational Schemas Foreign Key 00:00:00
16. The Concept of Relational Schemas Foreign Key 00:00:00
17. The Concept of Relational Schemas Unique Key and Null Values 00:00:00
18. The Concept of Relational Schemas Unique Key 00:00:00
19. The Concept of Relational Schemas Relationships Between Tables 00:00:00
20. The Concept of Relational Schemas Relationships Between Tables 00:00:00
18. SQL - Install and get to know MySQL
1. Installing MySQL Workbench and Server 00:00:00
2. Installing Visual C 00:00:00
3. The Client-Server Model 00:00:00
4. Linking GUI with the MySQL Server 00:00:00
5. Creating a New User and a New Connection to it 00:00:00
6. Familiarize Yourself with the MySQL Interface 00:00:00
19. SQL - Best SQL Practices
1. Coding Tips and Best Practices – I 00:00:00
2. Coding Tips and Best Practices – I 00:00:00
3. Coding Tips and Best Practices – II 00:00:00
4. Coding Tips and Best Practices – II 00:00:00
20. SQL - Loading the 'employees' Database
1. Loading the ’employees’ Database 00:00:00
2. Loading the ’employees’ Database 00:00:00
2.1 The ’employees’ Database 00:00:00
21. SQL Practical Application of the SQL SELECT Statement
1. Using SELECT – FROM 00:00:00
2. Using SELECT – FROM – Exercise 00:00:00
3. Using SELECT – FROM – Solution 00:00:00
4. Using WHERE 00:00:00
5. Using WHERE – Exercise 00:00:00
6. Using WHERE – Solution 00:00:00
7. Using AND 00:00:00
8. Using AND – Exercise 00:00:00
9. Using AND – Solution 00:00:00
10. Using OR 00:00:00
11. Using OR – Exercise 00:00:00
12. Using OR – Solution 00:00:00
13. Operator Precedence and Logical Order 00:00:00
14. Operator Precedence and Logical Order – Exercise 00:00:00
15. Operator Precedence and Logical Order – Solution 00:00:00
16. Using IN – NOT IN 00:00:00
17. Using IN – NOT IN – Exercise 1 00:00:00
18. Using IN – NOT IN – Solution 1 00:00:00
19. Using IN – NOT IN – Exercise 2 00:00:00
20. Using IN – NOT IN – Solution 2 00:00:00
21. Using LIKE – NOT LIKE 00:00:00
22. Using LIKE – NOT LIKE – Exercise 00:00:00
23. Using LIKE – NOT LIKE – Solution 00:00:00
24. Using Wildcard Characters 00:00:00
25. Using Wildcard characters – Exercise 00:00:00
26. Using Wildcard characters – Solution 00:00:00
27. Using BETWEEN – AND 00:00:00
28. Using BETWEEN – AND – Exercise 00:00:00
29. Using BETWEEN – AND – Solution 00:00:00
30. Using IS NOT NULL – IS NULL 00:00:00
31. Using IS NOT NULL – IS NULL – Exercise 00:00:00
32. Using IS NOT NULL – IS NULL – Solution 00:00:00
33. Using Other Comparison Operators 00:00:00
34. Using Other Comparison Operators – Exercise 00:00:00
35. Using Other Comparison Operators – Solution 00:00:00
36. Using SELECT DISTINCT 00:00:00
37. Using SELECT DISTINCT – Exercise 00:00:00
38. Using SELECT DISTINCT – Solution 00:00:00
39. Getting to Know Aggregate Functions 00:00:00
40. Getting to Know Aggregate Functions – Exercise 00:00:00
41. Getting to Know Aggregate Functions – Solution 00:00:00
42. Using ORDER BY 00:00:00
43. Using ORDER BY – Exercise 00:00:00
44. Using ORDER BY – Solution 00:00:00
45. Using GROUP BY 00:00:00
46. Using Aliases (AS) 00:00:00
47. Using Aliases (AS) – Exercise 00:00:00
49. Using HAVING 00:00:00
52. Using WHERE vs HAVING – Part I 00:00:00
53. Using WHERE vs HAVING – Part II 00:00:00
56. Using LIMIT 00:00:00
22. SQL - Expanding on MySQL Aggregate Functions
1. Applying COUNT() 00:00:00
2. Applying COUNT() – Exercise 00:00:00
3. Applying COUNT() – Solution 00:00:00
4. Applying SUM() 00:00:00
5. Applying SUM() – Exercise 00:00:00
6. Applying SUM() – Solution 00:00:00
7. MIN() and MAX() 00:00:00
8. MIN() and MAX() – Exercise 00:00:00
9. MIN() and MAX() – Solution 00:00:00
10. Applying AVG() 00:00:00
11. Applying AVG() – Exercise 00:00:00
12. Applying AVG() – Solution 00:00:00
13. Rounding Numbers with ROUND() 00:00:00
14. Rounding Numbers with ROUND() – Exercise 00:00:00
15. Rounding Numbers with ROUND() – Solution 00:00:00
23. SQL - SQL JOINs
1. What are JOINs 00:00:00
2. What are JOINs – Exercise 1 00:00:00
3. What are JOINs – Exercise 2 00:00:00
4. The Functionality of INNER JOIN – Part I 00:00:00
5. The Functionality of INNER JOIN – Part II 00:00:00
6. The Functionality of INNER JOIN – PART II – Exercise 00:00:00
7. The Functionality of INNER JOIN – PART II – Solution 00:00:00
8. Extra Info on Using Joins 00:00:00
9. Duplicate Rows 00:00:00
10. The Functionality of LEFT JOIN – Part I 00:00:00
11. The Functionality of LEFT JOIN – Part II 00:00:00
12. The Functionality of LEFT JOIN – Part II – Exercise 00:00:00
13. The Functionality of LEFT JOIN – Part II – Solution 00:00:00
14. The Functionality of RIGHT JOIN 00:00:00
15. Differences between the New and the Old Join Syntax 00:00:00
16. Differences between the New and the Old Join Syntax – Exercise 00:00:00
17. Differences between the New and the Old Join Syntax – Solution 00:00:00
18. Using JOIN and WHERE Together 00:00:00
19. Using JOIN and WHERE Together – Exercise 00:00:00
20. Using JOIN and WHERE Together – Solution 00:00:00
21. The Functionality of CROSS JOIN 00:00:00
22. The Functionality of CROSS JOIN – Exercise 1 00:00:00
23. The Functionality of CROSS JOIN – Solution 1 00:00:00
24. The Functionality of CROSS JOIN – Exercise 2 00:00:00
25. The Functionality of CROSS JOIN – Solution 2 00:00:00
26. Combining Aggregate Functions with Joins 00:00:00
27. JOIN More than Two Tables 00:00:00
28. JOIN More than Two Tables – Exercise 00:00:00
29. JOIN More than Two Tables – Solution 00:00:00
30. Top Tips for Joins 00:00:00
31. Top Tips for Joins – Exercise 00:00:00
32. Top Tips for Joins – Solution 00:00:00
33. The Differences Between UNION and UNION ALL 00:00:00
34. The Differences Between UNION and UNION ALL – Exercise 00:00:00
35. The Differences Between UNION and UNION ALL – Solution 00:00:00
24. SQL - SQL Subqueries
1. SQL Subqueries with IN Embedded Inside WHERE 00:00:00
2. SQL Subqueries with IN Embedded Inside WHERE – Exercise 00:00:00
3. SQL Subqueries with IN Embedded Inside WHERE – Solution 00:00:00
4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE 00:00:00
5. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE – Exercise 00:00:00
6. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE – Solution 00:00:00
7. SQL Subqueries Nested in SELECT and FROM 00:00:00
8. SQL Subqueries Embedded in SELECT and FROM – Exercise 1 00:00:00
9. SQL Subqueries Embedded in SELECT and FROM – Exercise 2 00:00:00
10. SQL Subqueries Nested in SELECT and FROM – Solution 2 00:00:00
25. SQL - Stored Routines
1. Defining Stored Routines 00:00:00
2. Defining Stored Routines 00:00:00
3. Create Stored Procedures with MySQL Syntax 00:00:00
4. An Example of Stored Procedures Part I 00:00:00
5. An Example of Stored Procedures Part II 00:00:00
6. An Example of Stored Procedures Part II – Exercise 00:00:00
7. An Example of Stored Procedures Part II – Solution 00:00:00
8. Creating a Procedure in MySQL Another Way 00:00:00
9. Create Stored Procedures with an Input Parameter 00:00:00
10. Create Stored Procedures with an Output Parameter 00:00:00
11. Create Stored Procedures with an Output Parameter – Exercise 00:00:00
12. Stored Procedures with an Output Parameter – Solution 00:00:00
13. SQL Variables 00:00:00
14. SQL Variables – Exercise 00:00:00
15. SQL Variables – Solution 00:00:00
16. The Benefit of User-Defined Functions in MySQL 00:00:00
17. The Benefit of User-Defined Functions in MySQL – Exercise 00:00:00
18. The Benefit of User-Defined Functions in MySQL – Solution 00:00:00
19. Concluding Stored Routines 00:00:00
20. Concluding Stored Routines 00:00:00
26. SQL - The CASE Statement
1. The SQL CASE Statement 00:00:00
2. The SQL CASE Statement – Exercise 1 00:00:00
3. THE SQL CASE Statement – Solution 1 00:00:00
4. THE SQL CASE Statement – Exercise 2 00:00:00
5. THE SQL CASE Statement – Solution 2 00:00:00
6. THE SQL CASE Statement – Exercise 3 00:00:00
7. THE SQL CASE Statement – Solution 3 00:00:00
27. Part 4 Introduction to Tableau
1. Why Use Tableau Make Your Data Make an Impact 00:00:00
2. Let’s Download Tableau Public 00:00:00
3. Connecting Data in Tableau 00:00:00
4. Exploring Tableau’s Interface 00:00:00
5. Let’s Create our first Chart in Tableau! 00:00:00
5.2 GDP Data – Tableau Public Link 00:00:00
Samples 00:00:00
28. Tableau - Tableau functionalities
1. Duplicating a Sheet 00:00:00
2. Creating a Table 00:00:00
2.1 Creating a table – Tableau Public Link 00:00:00
3. Creating Custom Fields 00:00:00
4. Creating a Custom Field and Adding Calculations to a Table 00:00:00
4.2 Creating a custom field – Tableau Public Link 00:00:00
5. Adding Totals and Subtotals 00:00:00
5.1 Addint totals and subtotals – Tableau Public Link 00:00:00
6. Adding a Custom Calculation 00:00:00
6.1 Adding a custom calculation – Tableau Public Link 00:00:00
7. Inserting a Filter 00:00:00
7.1 Inserting a filter – Tableau Public Link 00:00:00
8. Working with Joins in Tableau 00:00:00
Samples 00:00:00
29. Tableau - The Tableau Exercise
1. Introduction to the Exercise 00:00:00
2. Let’s Create a Dashboard – Visualizing the Three Charts We Want to Create 00:00:00
3. Using Joins in Tableau 00:00:00
4. Performing a Numbers Check – Attempt #1 00:00:00
4.1 Check the data – Tableau Public Link 00:00:00
5. Blending Data in Tableau 00:00:00
5.2 Check the data – Tableau Public Link 00:00:00
6. Performing a Numbers Check – Attempt #2 00:00:00
6.1 Check the data – Tableau Public Link 00:00:00
7. First Chart 00:00:00
7.1 First chart – Tableau Public Link 00:00:00
8. Second chart 00:00:00
8.2 Second chart – Tableau Public Link 00:00:00
9. Third Chart 00:00:00
9.3 Third chart – Tableau Public Link 00:00:00
10. Creating and Formatting a Dashboard 00:00:00
10.2 Creating a dashboard – Tableau Public Link 00:00:00
11. Adding Interactive Filters for Improved Analysis 00:00:00
11.1 Adding a filter – Tableau Public Link 00:00:00
30. Part 5 Combining SQL and Tableau - Introduction
1. Introduction to Software Integration 00:00:00
2. Combining SQL and Tableau 00:00:00
3. Loading the Database 00:00:00
4. Loading the Database 00:00:00
4.1 The ’employees_mod’ Database 00:00:00
Documents 00:00:00
31. Combining SQL and Tableau - Problem 1
1. Problem 1 Task 00:00:00
2. Problem 1 Task – Text 00:00:00
3. Problem 1 Solution in SQL 00:00:00
4. Problem 1 Solution in SQL – Code 00:00:00
5. Exporting Your Output from SQL and Loading it in Tableau 00:00:00
6. Chart 1 Visualizing the Solution in Tableau – Part I 00:00:00
7. Chart 1 Visualizing the Solution in Tableau – Part II 00:00:00
32. Combining SQL and Tableau - Problem 2
1. Problem 2 Task 00:00:00
2. Problem 2 Task – Text 00:00:00
3. Problem 2 Solution in SQL 00:00:00
4. Problem 2 Solution in SQL – Code 00:00:00
5. Chart 2 Visualizing the Solution in Tableau 00:00:00
33. Combining SQL and Tableau - Problem 3
1. Problem 3 Task 00:00:00
2. Problem 3 Task – Text 00:00:00
3. Problem 3 Solution in SQL 00:00:00
4. Problem 3 Solution in SQL – Code 00:00:00
5. Chart 3 Visualizing the Solution in Tableau 00:00:00
34. Combining SQL and Tableau - Problem 4
1. Problem 4 Task 00:00:00
2. Problem 4 Task – Text 00:00:00
3. Problem 4 Solution in SQL 00:00:00
4. Problem 4 Solution in SQL – Code 00:00:00
5. Chart 4 Visualizing the Solution in Tableau 00:00:00
35. Combining SQL and Tableau - Problem 5
1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard 00:00:00
36. Part 6 Introduction to Programming with Python
1. A 5-minute explanation of Programming 00:00:00
2. A 5-minute explanation of Programming 00:00:00
3. Why use Python 00:00:00
4. Why Use Python 00:00:00
5. Why use Jupyter 00:00:00
6. Why Use Jupyter 00:00:00
7. How to Install Python and Jupyter 00:00:00
8. Understanding Jupyter’s Interface – Dashboard 00:00:00
9. Understanding Jupyter’s Interface – Prerequisites for Coding 00:00:00
10. Understanding Jupyter’s Interface 00:00:00
Documents 00:00:00
37. Python - Python Variables and Data Types
1. Python Variables 00:00:00
1.1 Python Variables – Resources 00:00:00
2. Python Variables 00:00:00
3. Understanding Numbers and Boolean Values 00:00:00
3.1 Understanding Numbers and Boolean Values – Resources 00:00:00
4. Understanding Numbers and Boolean Values 00:00:00
5. Strings 00:00:00
5.1 Strings – Resources 00:00:00
6. Strings 00:00:00
38. Python - Python Syntax Fundamentals
1. The Arithmetic Operators of Python 00:00:00
1.1 Arithmetic Operators – Resources 00:00:00
2. Using Arithmetic Operators in Python 00:00:00
3. What is the Double Equality Sign 00:00:00
3.1 The Double Equality Sign – Resources 00:00:00
4. What is the Double Equality Sign 00:00:00
5. How to Reassign Values 00:00:00
5.1 Reassign Values – Resources 00:00:00
6. How to Reassign Values 00:00:00
7. How to Add Comments 00:00:00
7.1 How to Add Comments – Resources 00:00:00
8. How to Add Comments 00:00:00
9. Understanding Line Continuation 00:00:00
9.1 Line Continuation – Resources 00:00:00
10. How to Index Elements 00:00:00
10.1 Indexing Elements – Resources 00:00:00
11. How to Index Elements 00:00:00
12. How to Structure Your Code with Indentation 00:00:00
12.1 Structure Your Code with Indentation – Resources 00:00:00
13. How to Structure Your Code with Indentation 00:00:00
39. Python - Other Python Operators
1. Python’s Comparison Operators 00:00:00
1.1 Comparison Operators – Resources 00:00:00
2. Python’s Comparison Operators 00:00:00
3. Python’s Logical and Identity Operators 00:00:00
3.1 Logical and Identity Operators – Resources 00:00:00
4. Python’s Logical and Identity Operators 00:00:00
40. Python - Conditional Statements
1. Getting to know the IF Statement 00:00:00
1.1 Introduction to the If Statement – Resources 00:00:00
2. Getting to know the IF Statement 00:00:00
3. Adding an ELSE statement 00:00:00
3.1 Add an Else Statement – Resources 00:00:00
4. Else if, for Brief – ELIF 00:00:00
4.1 Else if, for Brief – Elif – Resources 00:00:00
5. An Additional Explanation of Boolean Values 00:00:00
5.1 A Note on Boolean Values – Resources 00:00:00
6. An Additional Explanation of Boolean Values 00:00:00
41. Python - Functions
1. How to Define a Function in Python 00:00:00
1.1 Defining a Function in Python – Resources 00:00:00
2. How to Create a Function with a Parameter 00:00:00
2.1 Creating a Function with a Parameter – Resources 00:00:00
3. Define a Function in Another Way 00:00:00
3.1 Another Way to Define a Function – Resources 00:00:00
4. How to use a Function within a Function 00:00:00
4.1 Using a Function in Another Function – Resources 00:00:00
5. Use Conditional Statements and Functions Together 00:00:00
5.1 Combining Conditional Statements and Functions – Resources 00:00:00
6. How to Create Functions Which Contain a Few Arguments 00:00:00
6.1 Creating Functions Containing a Few Arguments – Resources 00:00:00
7. Built-In Functions in Python Worth Knowing 00:00:00
7.1 Notable Built-In Functions in Python – Resources 00:00:00
8. Python – Functions 00:00:00
42. Python - Python Sequences
1. Introduction to Lists 00:00:00
1.1 Lists – Resources 00:00:00
2. Introduction to Lists 00:00:00
3. Using Methods in Python 00:00:00
3.1 Help Yourself with Methods – Resources 00:00:00
4. Using Methods in Python 00:00:00
5. What is List Slicing 00:00:00
5.1 List Slicing – Resources 00:00:00
6. Working with Tuples 00:00:00
6.1 Tuples – Resources 00:00:00
7. Python Dictionaries 00:00:00
7.1 Dictionaries – Resources 00:00:00
8. Python Dictionaries 00:00:00
43. Python - Using Iterations
1. Using For Loops 00:00:00
1.1 For Loops – Resources 00:00:00
2. For Loops 00:00:00
3. Using While Loops and Incrementing 00:00:00
3.1 While Loops and Incrementing – Resources 00:00:00
4. Use the range() Function to Create Lists 00:00:00
4.1 Create Lists with the range() Function – Resources 00:00:00
5. Use the range() Function to Create Lists 00:00:00
6. Combine Conditional Statements and Loops 00:00:00
6.1 Use Conditional Statements and Loops Together – Resources 00:00:00
7. All In – Conditional Statements, Functions, and Loops 00:00:00
7.1 All In – Conditional Statements, Functions, and Loops – Resources 00:00:00
8. How to Iterate over Dictionaries 00:00:00
8.1 Iterating over Dictionaries – Resources 00:00:00
44. Python - Advanced Python tools
1. Introduction to Object Oriented Programming (OOP) 00:00:00
2. Introduction to Object Oriented Programming (OOP) 00:00:00
3. Using Modules and Packages 00:00:00
4. Using Modules and Packages 00:00:00
5. What is the Standard Library 00:00:00
6. What is the Standard Library 00:00:00
7. How to Import Modules in Python 00:00:00
8. How to Import Modules in Python 00:00:00
45. Integration - Software Integration
1. Getting Started with Data, Servers, Clients, Requests, and Responses 00:00:00
2. Getting Started with Data, Servers, Clients, Requests, and Responses 00:00:00
3. Getting Started with Data Connectivity, APIs, and Endpoints 00:00:00
4. Getting Started with Data Connectivity, APIs, and Endpoints 00:00:00
5. Become Better Acquainted with APIs 00:00:00
6. Become Better Acquainted with APIs 00:00:00
7. Communication through Text Files 00:00:00
8. Communication through Text Files 00:00:00
9. What is Software Integration and How is it Applied 00:00:00
10. What is Software Integration and How is it Applied 00:00:00
46. Integration - What is contained in this Course
1. Solving a Business Exercise with Python, SQL, and Tableau 00:00:00
2. Presenting the Task Absenteeism at Work 00:00:00
3. Presenting the Data Set 00:00:00
4. Presenting the Data Set 00:00:00
47. Integration - Data Preprocessing Step by Step
1. How is the Content in the Next Sections Organized 00:00:00
2. How to Import the Data Set in Python 00:00:00
3. Exploring the Data Set 00:00:00
4. Programming vs the Rest of the World 00:00:00
5. A Brief Summary of Regression Analysis 00:00:00
6. The Approach we will Take to Solve this Exercise 00:00:00
7. Dropping Variables We Don’t Need 00:00:00
8. EXERCISE – Dropping Variables We Don’t Need 00:00:00
9. SOLUTION – Dropping Variables We Don’t Need 00:00:00
10. A Deeper Look at the ‘Reasons for Absence’ Column 00:00:00
11. Splitting a Variable into Multiple Dummy Variables 00:00:00
12. EXERCISE – Splitting a Variable into Multiple Dummy Variables 00:00:00
13. SOLUTION – Splitting a Variable into Multiple Dummy Variables 00:00:00
14. How to Drop a Dummy Variable from the Data Set 00:00:00
15. A Statistical Perspective on Dummy Variables 00:00:00
16. Categorizing the Various Reasons for Absence 00:00:00
17. Concatenation in Python 00:00:00
18. EXERCISE – Concatenation in Python 00:00:00
19. SOLUTION – Concatenation in Python 00:00:00
20. How to Reorder Columns in a DataFrame in Python 00:00:00
21. EXERCISE – How to Reorder Columns in a DataFrame in Python 00:00:00
22. SOLUTION – How to Reorder Columns in a DataFrame in Python 00:00:00
23. Using Checkpoints to Ease Your Work in Jupyter 00:00:00
23.1 Using Checkpoints 00:00:00
24. EXERCISE – Using Checkpoints to Ease Your Work in Jupyter 00:00:00
25. SOLUTION – Using Checkpoints to Ease Your Work in Jupyter 00:00:00
26. Analyzing the Date Column 00:00:00
27. Retrieving the Month Value From the Date Column 00:00:00
28. Adding the Day of the Week Column 00:00:00
29. EXERCISE – Dropping Columns 00:00:00
29.1 Dropping Columns 00:00:00
29.2 Preprocessing 00:00:00
30. Analysis of the Next 5 Columns in DF 00:00:00
31. Dealing with More Numerical Features which may Behave like Categorical Ones 00:00:00
32. A Final Note on this Section 00:00:00
32.1 Preprocessing 00:00:00
32.2 Exercises and solutions 00:00:00
48. Integration - Integrating Python and SQL
1. How to Use the ‘absenteeism_module’ in Python – Part I 00:00:00
1.1 The 5 files rar 00:00:00
2. How to Use the ‘absenteeism_module’ in Python – Part II 00:00:00
3. Creating the ‘predicted_outputs’ Database in MySQL 00:00:00
4. Importing ‘pymysql’ in Python 00:00:00
5. Creating a Connection and Cursor 00:00:00
6. EXERCISE – Creating ‘df_new_obs’ 00:00:00
7. Creating the ‘predicted_outputs’ Table in MySQL 00:00:00
8. Executing and SQL SELECT Statement from Python 00:00:00
9. Sending Data from Jupyter to Workbench – Part I 00:00:00
10. Sending Data from Jupyter to Workbench – Part II 00:00:00
11. Sending Data from Jupyter to Workbench – Part III 00:00:00
11.1 Integration 00:00:00
49. Integration - Using Tableau to Analyze the Predicted Outputs
1. EXERCISE – Age vs Probability 00:00:00
2. Using Tableau to Analyze Age vs Probability 00:00:00
3. EXERCISE – Reasons vs Probability 00:00:00
4. Using Tableau to Analyze Reasons vs Probability 00:00:00
5. EXERCISE – Transportation Expense vs Probability 00:00:00
6. Using Tableau to Analyze Transportation Expense vs Probability 00:00:00
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