Data Driven Entrepreneurship - (B-E-BA-M) - Q4

Participation Prerequisites

Basic knowledge of python is required. Students will be expected to self-learn the basics of python (relevant learning material will be provided).

Course Content

Data are an increasingly important source for founders and investors to make entrepreneurial decisions. Moreover, the introduction of novel digital technologies has facilitated actors to collect and analyze a wide variety of data. The core purpose of this course is to introduce students to multiple methodological approaches and tools that can help them in executing data-driven entrepreneurship. To do so, the following topics will be addressed:

- Automate data cleaning and data merging

- Setting up a dashboard to generate business intelligence for startups

- Leveraging gen ai for data driven entrepreneurship

Throughout the different modules, we will use several software packages (e.g. Power BI, Python) to execute assignments. In the modules, we will focus on applying these software packages to execute specific group and individual assignments. For the assignments, real entrepreneurial data will be provided and analyzed.

Instruction Type

Präsenzstudium

Form of Examination

Literature

The preliminary course structure will be as follows:

Week 1: Introduction to course + Introduction to data cleaning and merging with Python Week 2: Building a dashboard using Power BI Week 3: Expanding databases with APIs Week 4: Collecting data with generative AI Week 5: Expanding databases with generative AI Week 6: Disseminating with generative AI