The Business Intelligence Analyst Course 2024
Isi Folder / Files :
1. Part 1 Introduction
2. Intro to Data and Data Science - The Different Data Science Fields
3. Intro to Data and Data Science - The Relationship between Different Fields
4. Intro to Data and Data Science - What is the Purpose of each Data Science Field
5. Intro to Data and Data Science - Common Data Science Techniques
6. Intro to Data and Data Science - Common Data Science Tools
7. Intro to Data and Data Science - Data Science Career Paths
8. Intro to Data and Data Science - Dispelling Common Misconceptions
9. Part 2 Statistics - Population and Sample
10. Statistics - Descriptive Statistics
11. Statistics - Practical Example Descriptive Statistics
12. Statistics - Inferential Statistics Fundamentals
13. Statistics - Inferential Statistics Confidence Intervals
14. Statistics - Practical Example Inferential Statistics
15. Statistics - Hypothesis Testing
16. Statistics - Practical Example Hypothesis Testing
17. Part 3 Relational Database Theory & Introduction to SQL
18. SQL - Install and get to know MySQL
19. SQL - Best SQL Practices
20. SQL - Loading the 'employees' Database
21. SQL - Practical Application of the SQL SELECT Statement
22. SQL - Expanding on MySQL Aggregate Functions
23. SQL - SQL JOINs
24. SQL - SQL Subqueries
25. SQL - Stored Routines
26. SQL - The CASE Statement
27. Part 4 Introduction to Tableau
28. Tableau - Tableau functionalities
29. Tableau - The Tableau Exercise
30. Part 5 Combining SQL and Tableau - Introduction
31. Combining SQL and Tableau - Problem 1
32. Combining SQL and Tableau - Problem 2
33. Combining SQL and Tableau - Problem 3
34. Combining SQL and Tableau - Problem 4
35. Combining SQL and Tableau - Problem 5
36. Part 6 Introduction to Programming with Python
37. Python - Python Variables and Data Types
38. Python - Python Syntax Fundamentals
39. Python - Other Python Operators
40. Python - Conditional Statements
41. Python - Functions
42. Python - Python Sequences
43. Python - Using Iterations
44. Python - Advanced Python tools
45. Part 7 Integration - Software Integration
46. Integration - What is contained in this Course
47. Integration - Data Preprocessing Step by Step
48. Integration - Integrating Python and SQL
49. Integration - Using Tableau to Analyze the Predicted Outputs
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