Pandas + Matplotlib

Contribution List

1. Welcome and Introduction (Pandas)

23/10/2023, 09:00

2. The Series Datatype

23/10/2023, 09:30

Introduction to Pandas

Learn about the fundamental data type used for labelled sequential data.

3. Introduction to DataFrames

23/10/2023, 10:00

Introduction to Pandas

Get to know a more advanced data type to deal with multi-dimensional data.

4. Accessing Data

23/10/2023, 11:00

Introduction to Pandas

Learn about multiple ways to access subsections of a Series or a DataFrame and singular elements in it.

5. Filtering Data

23/10/2023, 11:30

Introduction to Pandas

Learn how to create filter masks to separate out the interesting data.

6. Modifying Data

23/10/2023, 12:00

Introduction to Pandas

Learn how to add and manipulate existing data in a DataFrame or Series.

7. Hands-on Exercise (Pandas)

23/10/2023, 13:30

Introduction to Pandas

Try out your newly learned skills on a real-live data set. The instructors are available to give advice and feedback.

8. Welcome and Introduction (Matplotlib)

24/10/2023, 09:00

9. Introduction to Pyplot

24/10/2023, 09:30

Introduction to Matplotlib

Pyplot is a collection of shortcuts for common tasks. Learn how to use it to create basic plots.

10. Multiple Plots

24/10/2023, 10:00

Introduction to Matplotlib

Learn how to create multiple plots and arrange them in a single figure.

11. Object-oriented Style

24/10/2023, 11:00

Introduction to Matplotlib

Learn about an alternative approach to setting up plots.

12. Matplotlib + Pandas

24/10/2023, 11:45

Introduction to Matplotlib

Learn how you can combine Pandas and Matplotlib for quick plotting.

13. Hands-on Exercise (Matplotlib)

24/10/2023, 13:30

Introduction to Matplotlib

Try out your newly learned skills on a set of real-live use cases. The instructors are available to give advice and feedback.