Welcome!

This website covers the course 6235 Data Literacy (Summer 2024) at WU Vienna (login required for Canvas) created at the Institute for Retailing & Data Science. The main aims of the course are to build a solid foundation for current and future data-based projects and to gain confidence in presenting your analyses through a principled workflow. If you find this course interesting consider joining the SBWL Handel & Marketing organized by our institute.

This website is updated as more materials are added. The main format of the material is RevealJS and links to the slides can be found on the right-hand side of each page. The pages themselves are automatically generated from the same Quarto files. You will learn how this works as part of this course 😊.

This course covers

  1. Introduction to the course
  2. Introduction to R
  3. Introduction to Quarto
  4. Introduction to Git
  5. Principles of Data Visualization
  6. Introduction to Causal Modeling
    6.1. Difference-in-Differences Estimation
  7. Introduction to Predictive Modeling

Bonus: Notes on Logistic Regression