Empirical Economics with R
Based on various economic research questions students learn applied data science methods including data preparation, econometrics with focus on the estimation of causal effects and to a smaller extent machine learning. A strong focus is on the practical implementation in R.
An important part of this course are interactive RTutor problem sets where you work through the main course contents yourself in R at home, but can automatically check your solution and get hints. You don't need previous knowledge of R, but it might be helpful.
Further information about the course and all material can be found on its Moodle page (accessible without password)