This Python intensive courses will give you a good overview on the necessary Python skills for data analysis.

Participation requirement is some programming experience with Python. The topics of the course "Python basics" (or equivalent skills) are sufficient. Without sufficient programming knowledge, participation is not recommended.

Agenda:

1 Numpy
1.1 Data Structures
1.2 Ufuncs
1.3 Slicing
1.4 Changing Dimensions and Shapes
1.5 Broadcasting
1.6 Various Mathematical Functionalities

2 Matplotlib
2.1 Plotting Data
2.2 Linestyles and Colors
2.3 Axis and Spines
2.4 Manipulating Tick Label
2.5 Subplots
2.6 Contour Plots

3 Pandas
3.1 Series
3.2 Series to DataFrames
3.3 Series, DataFrames vs. Dictionaries
3.4 Working with DataFrames
3.5 Reading and Writing csv and dsv files
3.6 Working with Excel Files in Pandas
3.7 Excel Files
3.8 Hierarchical Indexing
3.9 Groupby
3.10 Pivoting
3.11 Working with „incomplete“ data, NaN
3.12 Plotting Data

This workshop is free of charge for registered members of the PIER Helmholtz Graduate School and its cooperation partners on Bahrenfeld campus in the PIER Education Platform.