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Python / Data Science

Learning Outcomes

This course aims at introducing students to the fundamental elements of the Python programming language, using motivating examples from health-related research to demonstrate how to answer a variety of relevant questions. Importantly, this is not a statistics course, but we will look at how to specifically use Python to solve statistical tasks.

After successfully completing this course, you should be able to:

  • Use the fundamentals of the Python programming language
  • Work with data by importing, describing, joining, grouping, and aggregating it
  • Create data visualisation for both data exploration and publication
  • Fit your data to basic regression models (linear, logistic, Cox)
  • Make a simple prediction model using machine learning techniques
  • Have an idea about complimentary tools, such as Git, Just, and Quarto

Examination will be in the form of an individual written exam (pass/fail).