CAUSAL DATA SCIENCE FOR BUSINESS ANALYTICS
Course description
Distinguishing causal relationships from simple correlation is what commonly used approaches in business analytics often fall short of. In this course, we will provide you with the skill set to answer questions like
- what happens to \(Y\) if we do \(X\)?
- was it \(X\) that caused \(Y\) to change?
Introducing you to causal inference with the help of data science will allow you to carry out state-of-the-art causal analyses by yourself and extrapolate causal knowledge across different business contexts and various management areas.
Website Structure
Browse all the class content, assignments and examples by going to Content. For instruction how to pass the course go to Submission. If you have problems regarding the content, solving the assignments or any other questions, use the chat icon to directly go to our Mattermost discussion channel.
Instructor
Oliver Mork
oliver.mork@tuhh.de
Course Details
06.11. / 27.11. / 18.12.
09:00 - 17:00
Q - 1.121