Course Content
Udemy – The Data Analyst Course: Complete Data Analyst Bootcamp
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01. Introduction to the Course
10:24
02. Introduction to Data Analytics
22:06
03. Setting up the Environment
34:10
04. Python Basics
01:55:53
05. Fundamentals for Coding in Python
32:20
06. Mathematics for Python
51:05
07. NumPy Basics
13:55
08. Pandas – Basics
01:20:14
09. Working with Text Files
01:57:57
10. Working with Text Data
41:01
11. Must-Know Python Tools
31:25
12. Data GatheringData Collection
06:33
13. APIs (POST requests are not needed for this course)
37:11
14. Data Cleaning and Data Preprocessing
05:28
15. pandas Series
21:37
16. pandas DataFrames
42:38
17. NumPy Fundamentals
28:49
18. NumPy DataTypes
24:02
19. Working with Arrays
26:46
20. Generating Data with NumPy
32:36
21. Statistics with NumPy
42:29
22. NumPy – Preprocessing
01:35:26
23. A Loan Data Example with NumPy
01:27:48
24. The Absenteeism Exercise – Introduction
05:06
25. Solution to the Absenteeism Exercise
01:18:11
26. Data Visualization
02:54:35
27. Conclusion
02:23
Udemy – The Data Analyst Course: Complete Data Analyst Bootcamp

00:00 – 1. Object-Oriented Programming (OOP)

05:00 – 2. Modules, Packages, and the Python Standard Library

09:24 – 3. Importing Modules

12:49 – 4. Introduction to Using NumPy and pandas

21:58 – 5. What is Software Documentation

25:56 – 6. The Python Documentation

Exercise Files
Exercise Files.zip
Size: 8.04 KB
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