LFU:online

Students will acquire the ability to independently and systematically prepare and analyze various types of data to make better strategic decisions.

The content of the course focuses on data analysis in Strategic Management. More specifically, it covers data collection and processing, exploratory data analysis, data visualization, inferential statistics, modelling, and effective communication of results.

Written homework and data analysis projects.

Assessment of the course is based on regular written and/or oral contributions of the participants.

Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data. " O'Reilly Media, Inc.".

Sedlmeier, P., & Renkewitz, F. (2013). Forschungsmethoden und Statistik für Psychologen und Sozialwissenschaftler. 2., aktualisierte Auflage

none

You have to enrol in ONE of the four seminars 436036, 436037, 436038, or 436039

IMPORTANT: TO AVOID OVERLAPS OF THE MANDATORY SEMINARS “SE Strategy and Digital Business Models“ and „SE Business and Data Analytics“:

If you are enrolled in SE 436036 or SE 436038 (SE Business and Data Analytics):

•  you are NOT allowed to enrol in SE 436033 or in SE 436034 (SE Strategy and Digital Business Models)
•  you are ONLY ALLOWED to enrol in SE 436031 or in SE 436032 (SE Strategy and Digital Business Models)

If you are enrolled in SE 436037 or SE 436039 (SE Business and Data Analytics):

•  you are NOT allowed to enrol in SE 436031 or in SE436032 (SE Strategy and Digital Business Models)
• you are ONLY ALLOWED to enrol in SE 436033 or in SE 436034 (SE Strategy and Digital Business Models)

If you do not enrol according to these rules, your enrolment will be deleted