Week 1) Getting started

Learning Goals

• Understand the added value of this course in your study program
• Know what to prepare, and how to do it effectively
• Understand the grading and assessment criteria for the course
• Get familiar with the RStudio interface and basic data manipulation using dplyr

Preparation before class

• Please complete the software installation (see → Preparation before the course starts)
• Please read chapters 1-2 of “Marketing Analytics: A Modern Toolkit” (and optionally the Appendix: R - A Gentle Introduction)

Opening lecture and R bootcamp

• Introduction to the course
• In-class tutorial: R Bootcamp

After the lecture

• Exercises after class (please complete chapters 1-4 in R for Social Scientists at your own pace; about 4-5 hours)