AI en Data Science


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° DA2122-M4 Engels


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 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 from (i.e. the Anaconda distribution). Python version 3 or higher is recommended.

This course is part of a larger course series in Data Analysis consisting of 19 individual modules. Find more information and enroll for this module via


  • 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

Type opleiding:
Kort- en langlopende opleidingen
AI en Data Science, Wetenschappen
2021 - 2022
Koen Plevoets
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