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30.08.
- Introduction to Data Analysis (10%)
- Participants will work through the basic language elements of the Pandas library (Dictionary, Series, Dataframe, etc.) with Jupyter Notebook (Python tool for data processing), (share 30%).
- Data example Excel (share 10%): the trainer shows selected research methods with Excel (descriptive statistics, matrix formula, pivot table) on the sales data of an example web store
- Data example Pandas (share 30%): The participants work out practically the data investigation shown with Excel now under guidance with Python and Pandas functions with a Jupyter notebook.
- Outlook Pandas for advanced users, the trainer shows selected methods (share 10%)
- Summary and discussion (share 10%)
