Data processing with Pandas & Data plotting with Matplotlib

Session

Introduction to Pandas

PD

21 Feb 2024, 10:30

online

2. The Series Datatype

21/02/2024, 10:30

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

3. Introduction to DataFrames

21/02/2024, 11:00

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

4. Accessing Data

21/02/2024, 12:30

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

5. Filtering Data

21/02/2024, 13:00

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

6. Modifying Data

21/02/2024, 13:30

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

7. Hands-on Exercise (Pandas) Loading Data

21/02/2024, 14:30

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.

14. Hands-on Exercise (Pandas) Cleaning Data

22/02/2024, 14:30

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

23/02/2024, 10:00

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