Data Science (Specific Topics in Marketing) (SS 2020)


Course Number
046417

Field(s) of Study
Master

University Calendar

Type
Exercise

Course Language
englisch


Notice

The kick-off meeting at the Chair for Value-Based Marketing (IWM) will be approximately in the beginning of May. 

Description

This module is offered in cooperation with TechLabs (https://tech-labs.de/). In this module, students work in groups on selected marketing topics and use statistical methods. The specific topics covered in the course vary and address current business challenges of the project partners. In addition to the applying statistical methods in a competent manner, the development of solutions for specific data-driven marketing challenges is the main focus.

You acquire knowledge in R. You will also gain knowledge of advanced statistical methods and data management. Yet, the focus of the course is on solving marketing challenges.

Kick-Off (IWM) 5th of May
Project Kick-Off (TechLabs) 26th of May
Presentation 1 (obligatory) 7th of July
Presentation 2 (voluntary) 17th of August
Handing in Blogpost (TechLabs) 30th of August
Handing in Seminar Paper (IWM) 30th of September


This specific topics course is provided in cooperation TechLabs. Students that want to participate need to successfully apply at TechLabs before the course starts (https://www.techlabs.org/apply) and choose the Data Science with R track. 

Learning Tracks in R will be provided to you by TechLabs on the 20th of April before the IWM Kick-Off. You are expected to self study course contents at home. InPlease feel free to adress questions via E-Mail (l.richter@uni-muenster.de).

This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise.

 

Lecturers

  • Professor Dr. Sonja Gensler (responsible)
  • Lisa Richter (accompanying)