Python started off as a general-purpose programming language, but in the last decade it has become a popular environment for data science. The reason is that the community of Python users have recently created useful add-on packages which are suitable for data manipulation, preparation, visualization and analysis. This practical course introduces both base Python and the most important packages in a hands-on way with many exercises.
The contents of the course are:
- Introduction: Python and the Anaconda distribution
- Data types: numbers, strings, lists, tuples, sets and dictionaries
- Automation: control flow and self-defined functions
- Importing data and exporting results
- Managing data with NumPy and pandas
- Graphs with matplotlib and seaborn
- Statistical analysis with statsmodels
The objective of the course is that you are capable of doing data management, visualization and analysis in Python on your own.
Python is an open-source programming language which you can freely download (i.e. the Anaconda distribution). Python version 3 or higher is recommended.
Schedule:
- 05/12/2024 17:30 – 21:30
- 09/12/2024 17:30 – 21:30
- 12/12/2024 17:30 – 21:30
- 16/12/2024 17:30 – 21:30
- 19/12/2024 17:30 – 21:30