Mastering Numpy and Pandas for Data Analysis

Empower your Python skills with essential data tools

Author: AI Learning Club Team · Difficulty: Beginner · Duration: 2 hr 10 min · Modules: 25

Modules

1. Introduction to NumPy (5 min)
2. Array Operations in NumPy (5 min)
3. Advanced NumPy Techniques (5 min)
4. Introduction to Pandas (5 min)
5. Data Structures in Pandas (5 min)
6. Data Selection and Filtering (5 min)
7. Data Manipulation and Transformation (5 min)
8. Handling Missing Data (5 min)
9. Merging and Joining DataFrames (5 min)
10. Grouping and Aggregation (5 min)
11. Time Series Data Analysis (5 min)
12. Exploratory Data Analysis with Pandas (5 min)
13. Data Visualization Basics (5 min)
14. Advanced Data Visualization Techniques (5 min)
15. Introduction to Matplotlib (5 min)
16. Customizing Plots in Matplotlib (5 min)
17. Introduction to Seaborn (5 min)
18. Statistical Plots in Seaborn (5 min)
19. Data Cleaning Best Practices (5 min)
20. Feature Engineering (5 min)
21. Introduction to Machine Learning with Pandas (5 min)
22. Case Study: Data Analysis Project (5 min)
23. Project: End-to-End Data Analysis (5 min)
24. Review and Best Practices (5 min)
25. Resources & References (2 min)

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