The Ultimate Beginners Guide to Data Analysis with Pandas

سرفصل های دوره

Python for Data Science: Develop essential skills with Pandas, with practical exercises solved step by step

1. Introduction

1. Course content

2. Course materials.html

2. Series

1.1 Source code - Google Colab.html

1. Installation

2. Creating series

3. Slicing

4. Copy, conversion, and concatenation

5. Accessing elements with iloc

6. Accessing elements with loc

7. Ordering

8. Counting

9. Filtering

10. Mathematical operations

11. String operations

12. Numerical grouping

13. Categorical grouping

14. Missing values

15. Functions

16.1 Homework - solved.html

16.2 Homework - unsolved.html

16. HOMEWORK

17. Homework solution

3. Dataframes

1.1 Source code - Google Colab.html

1. Creating dataframes

2. Exploring dataframes

3. Accessing elements with iloc and loc

4. Deleting rows and columns

5. Duplicated rows

6. Missing values

7. Counting

8. Ordering

9. Filtering

10. Rename and reorder columns

11. Creating new columns

12. Categorical features

13. Aggregation

14. Grouping

15. Grouping with aggregation

16. Aggregation with transform

17. Pivot tables

18. Concatenation and joining

19. Date conversions

20. Date indexes

21. Importation and exportation

22.1 Homework - solved.html

22.2 Homework - unsolved.html

22. HOMEWORK

23. Homework solution

4. Data visualization

1.1 Source code - Google Colab.html

1. Line plot

2. Formatting

3. Subplots

4. Bar and pizza plots

5. Scatter plot

6. Histogram

7.1 Homework - solved.html

7.2 Homework - unsolved.html

7. HOMEWORK

8. Homework solution

5. Final remarks

1. Final remarks

2. BONUS

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تولید کننده: Udemy