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PTMBA 2024 Workshop Coding Mini-Bootcamp MBA: Working with Data in Python

In this workshop we’ll be using concrete examples to train for, and build, “The perfect pitch”. The workshop is open to all, individuals or teams, who either already have a product or service, or a start-up idea, that they want to pitch. Anyone else interested in attending the course can either observe the pitches or join an existing team.
Course code
Course type
PT MBA Lecture
Weekly Hours
HS 2022
Alexander Hess
Please note that exchange students obtain a higher number of credits in the BSc-program at WHU than listed here. For further information please contact directly the International Relations Office.

The main purpose of this course is to make the student familiar with basic concepts of programming in Python, one of the most important languages used at the moment.

This prepares the student for further courses, for example, in Data Science, Machine Learning, or Web Development.

Students taking this course in the past reported that they could use what they learned in summer internships as well, in particular when they worked in start-ups.

Also, many students applied what they learned when writing their theses.

The topics introduced are:

  • basic elements of a programming language
  • modularization via functions
  • boolean if-else logic
  • flow control via for- or while-loops
  • data types (lists, tuples, dictionaries, sets, arrays, dataframes)
  • replacing Excel with Python
  • data mining with APIs (e.g., Google Maps API)
Date Time
Saturday, 05.11.2022 09:00 - 16:30
Sunday, 06.11.2022 09:00 - 16:30
All materials can be found for free on GitHub:https://github.com/webartifex/intro-to-python
The teaching style is pragmatic and hands-on. Theoretical concepts are explained in class with actual code. The study materials enable the student to code along either right away or re-do everything at home.

Exercises and case studies show how the learned concepts can be applied in the real world.

Coding Exercises

The coding exercises are done in teams of up to 3 students during the course. The students may finalize their work in the week after the course before submitting them via email.

Active Participation

Students may improve their grade with active participation in class

There are for this course. interested in learning to code and encouraged to join.
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