In this course participants will learn to analyze tabular data (e.g. time series) with the data processing library Pandas. Pandas is useful for conducting steps involved in exploratory data analysis such as summarizing and visualizing data. Lectures will be supplemented with practical sessions to intensify contents from the presentation. After participating in the course attendees will have learned

• about the concepts of Pandas Series and DataFrames.
• to import tabular data into Pandas DataFrames.
• to make efficient use of DataFrame methods and visualisation for exploratory data analysis.         

Language: English