The course is an introduction to business analytics. It covers managerial tools in both descriptive and predictive analytics using MS Excel.
In the first part of the course, we will focus on two main topics.
(1) How to formalize, structure, and optimize decision problems and
(2) how to structure and analyze large data sets.
In the second part, participants will develop an understanding of cases where causality is important and the cases where we can make predictions based on correlations. We will use simple experimental methods for the former, and simple predictive analytics methods for the latter.
Students will be evaluated based on individual homework assignments. The final grade is calculated as the average grade of all assignments with equal weighting.

To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 5 - 30 September 2022. The students themselves are responsible for checking the creditability of the course to their course of study.

Direct link to OLAT course:

https://lms.uzh.ch/url/RepositoryEntry/17259823542