Data Driven Entrepreneurship - (B-E-M)

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 tools to generate competitor intelligence

- Applying natural language processing algorithms to identify potential partners/competitors

Throughout the different modules, we will use several software packages (e.g. Power BI, Python) to execute assignments. Students will be expected to self-learn the basics of these software packages (relevant learning material will be provided). 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.

Individual assignment: 50%