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Applied Data Thinking

Kurs ID
Art des Kurses
BSc Kurs Studium Generale
HS 2022
Marc Weimer-Hablitzel
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].
Each Block will be covered in 2 Sessions, which will take place on two consecutive days:

Elementary Concepts of Data Thinking and Analysis

Data Gap Analysis using Machine-learning techniques

Introduction to Python Programming of a simple machine learning algorithm

Date Time
Thursday, 10.11.2022 15:30 - 18:45
Friday, 11.11.2022 08:00 - 09:30
Thursday, 17.11.2022 15:30 - 17:00
Friday, 18.11.2022 08:00 - 09:30
Text chapters and cases will be posted on the online course website before the beginning of the course. All PowerPoints used in this course will be made available to students shortly after class.
The goal of the course is to get to know data thinking as an innovation method. It is about analyzing business potentials, implementing the findings and understanding how an expert data scientist approaches data problems. Therefore, you can appreciate the AI and ask the right questions to understand a data scientist's technique well. Moreover, you will use machine learning on explicit examples by small coding challenges with Python. Basic knowledge of Python Programming is not required to attend this course.You will learn all the needed skills there.

Sessions will consist of lectures, discussion and and case work. There will also be a group project due for hand-in and presentation (presentation is on the last class day). Case work and project specifications will be explained, and groups will be assigned, at the beginning of the course.
The course will be either pass or fail.

70% Class participation, in-class assignments and homework

30% Online Course Quizzes

This course will introduce students to methods for data driven decision-making in business. It will cover methods designed to provide evidence for two types of fundamental business issues. The first is identifying data use-cases and the second is evaluating and validating possible solutions. The course is intended to train business leaders to
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