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Data Science for Business

Kurs ID
Art des Kurses
BSc Kurs
FS 2023
Prof. Dr. Arne Karsten Strauss
Bitte beachten Sie, dass AustauschstudentInnen im BSc-Programm der WHU eine höhere Anzahl an Credits erwerben als hier aufgeführt. Für weitere Informationen wenden Sie sich bitte direkt an das [International Relations Office].
This course is dedicated to conveying a sense of how to structure analytic projects systematically, from understanding of the business problem over modelling up to model assessment and communication of the project's results (or a project proposal) to a client. The course introduces such a structure with an applied, step-by-step introduction that mixes theory and practical, hands-on implementation tasks (using Tableau and programming in R).

Whilst several fundamental data science techniques are introduced, explained and worked with, we do mainly focus on the overall analytic project process. Ultimately, this will also help to evaluate project pitches from a client’s perspective.

Date Time
Monday, 09.01.2023 11:30 - 15:15
Monday, 16.01.2023 11:30 - 15:15
Monday, 23.01.2023 11:30 - 15:15
Monday, 30.01.2023 11:30 - 15:15
Monday, 06.02.2023 11:30 - 15:15
Monday, 13.02.2023 11:30 - 15:15
  • Ability to structure analytic projects
  • Ability to evaluate proposals for analytic projects
  • Ability to deliver effective pitches for analytic projects
  • Ability to effectively report analytic results to managers
  • Ability to design interactive visualizations and dashboards
F. Provost and T. Fawcett. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. O’Reilly, 2013
Lectures interwoven with in-class exercises (students must bring their own laptops).
Group presentation and report: 40%

Exam: 60%

Students unfamiliar with R programming should learn about the basics of R in advance of the module; optional preparation materials will be provided.
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