Data processing with Pandas & Data plotting with Matplotlib

Contribution List

1. Welcome and Introduction (Pandas)

13/03/2024, 10:00

2. The Series Datatype

13/03/2024, 10:30

Introduction to Pandas

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

3. Introduction to DataFrames

13/03/2024, 11:00

Introduction to Pandas

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

4. Accessing Data

13/03/2024, 12:30

Introduction to Pandas

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

5. Filtering Data

13/03/2024, 13:00

Introduction to Pandas

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

6. Modifying Data

13/03/2024, 13:30

Introduction to Pandas

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

7. Hands-on Exercise (Pandas) Loading Data

13/03/2024, 14:30

Introduction to Pandas

Try out your newly learned skills on a real-live data set.
In this section, you will learn how to load a complex data set and re-shape it into a usable form based on the provided metadata. The instructors are available to give advice and feedback.

8. Welcome and Introduction (Matplotlib)

14/03/2024, 10:00

9. Introduction to Pyplot

14/03/2024, 10:30

Introduction to Matplotlib

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

10. Multiple Plots

14/03/2024, 11:00

Introduction to Matplotlib

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

11. Object-oriented Style

14/03/2024, 12:30

Introduction to Matplotlib

Learn about an alternative approach to setting up plots.

12. Matplotlib + Pandas

14/03/2024, 13:15

Introduction to Matplotlib

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

14. Hands-on Exercise (Pandas) Cleaning Data

14/03/2024, 14:30

Introduction to Pandas

The loaded data set still has quite a few inconsistencies, missing values and formatting peculiarities that need to be dealt with before it is ready for analysis.

15. Hands-on Exercise (Pandas) Analyzing Data

15/03/2024, 10:00

Introduction to Pandas

Analyze the now cleaned data set to extract new knowledge about the climatic conditions at the chosen location.

13. Hands-on Exercise (Matplotlib)

15/03/2024, 12:30

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.