1. Master Pandas for Data Handling Overview
2. Pandas theory and terminology
3. Creating a Pandas DataFrame from scratch
4. Pandas File Handling Overview
5. Pandas File Handling The .csv file format
6. Pandas File Handling The .xlsx file format
7. Pandas File Handling SQL-database files and Pandas DataFrame
8. Pandas Operations & Techniques Overview
9. Pandas Operations & Techniques Object Inspection
10. Pandas Operations & Techniques DataFrame Inspection
11. Pandas Operations & Techniques Column Selections
12. Pandas Operations & Techniques Row Selections
13. Pandas Operations & Techniques Conditional Selections
14. Pandas Operations & Techniques Scalers and Standardization
15.1 dataframes.zip
15. Pandas Operations & Techniques Concatenate DataFrames
16.1 pandas ops tech join df.zip
16. Pandas Operations & Techniques Joining DataFrames
17.1 pandas ops tech merge dataset.zip
17. Pandas Operations & Techniques Merging DataFrames
18.1 pandas t pivot dataset.zip
18. Pandas Operations & Techniques Transpose & Pivot Functions
19. Pandas Data Preparation I Overview & workflow
20. Pandas Data Preparation II Edit DataFrame labels
21. Pandas Data Preparation III Duplicates
22. Pandas Data Preparation IV Missing Data & Imputation
23. Pandas Data Description I Overview
24. Pandas Data Description II Sorting and Ranking
25. Pandas Data Description III Descriptive Statistics
26. Pandas Data Description IV Crosstabulations & Groupings
27. Pandas Data Visualization I Overview
28. Pandas Data Visualization II Histograms
29. Pandas Data Visualization III Boxplots
30. Pandas Data Visualization IV Scatterplots
31. Pandas Data Visualization V Pie Charts
32. Pandas Data Visualization VI Line plots