Advanced Seminar Finance & Accounting: Data Science in Finance

What it is about

You will learn how data science techniques are applied to finance-related questions. In the end you will be able to formulate hypotheses, find suitable data sources, preprocess raw data, apply statistical methods, draw well-founded conclusions from the results, and present your results academically.

What you will be able to do

• Development of a generic workflow for finance data projects
• Formulation of hypotheses on finance-related questions
• Identification and preprocessing of suitable datasets
• Application of statistical and machine learning methods
• Academic communication of methods and results

What the module consists of

• LectureIntroduction to Python, data processing, visualization and machine learning
• Seminar/PresentationsPresentation and discussion of the final projects

Teaching method

• Lectures (6–8 sessions)Conveying the fundamental technical and methodological content
• Seminar final presentations (1–2 days)Discussion and evaluation of the project work