Data analysis is the basis ofany evidence-based managerial decision-making. Data analysis is aboutrecognizing patterns in data so that inferences about the real world can bemade. The course teaches students about selected methods of data creation,collection, and analysis. It draws on econometrics and statistical methodsdeveloped to estimate economic relationships, testing theoretical hypothesesand evaluating policies.

In particular, this coursewill provide a recapitulation of the basics of statistics and cover survey andquestionnaire design, regression analysis, and data visualization.

On successful completion ofthe course, you should:

After a short introductionand recap of prerequisites, the data course is centered on specificproblem-based example and case studies. Each broader topic/method is organizedin 2 classes. Typically, in the first class we will start with examples for relatedbusiness/strategy-related research questions, and discuss how to find and/orgenerate data to answer these questions. This is followed by an introduction ofthe respective analysis method. In in-class tasks and homework assignments,students are asked to try out data generation and analysis themselves, withdata provided to them. The second meeting then usually discusses specificanalysis concepts related to the case, and includes practical work with STATAas well as more examples for applications of the method.

Oral presentationsand participation in group discussions (10%)

Written assignments(2 x 20%)

Two assignments will bemarked in written form. This will be announced by the lecturer when giving outthe assignment.

Final exam (50%)

The final exam will cover theentire course.

Resources available tostudents consist of:

Lecture slides will beprovided online a day after class. You will need to use STATA. STATA isavailable on lab computers or you can purchase a student license.

Textbook resources will beannounced on learn@WU.