Registration on Portal2 is now open until October 13. The exam period is still preliminary.
This course teaches students the basics of Python necessary for quantitative seminar and master theses in finance. It covers programming fundamentals, data handling, visualization, and analysis. Additionally, it explores accessing and working with data commonly used in finance research, and additionally accessing APIs, machine learning, and managing large datasets. The course wraps up with a take-home exam applying these skills to solve a financial research question. Practical applications take priority over theoretical programming concepts, and examples are primarily drawn from finance literature.
To participate in this course, you have to register for the course on Portal2.
Please note that the capacity is limited. If there are more registrations than seats, the allocation will be made based on a random draw after the registration deadline (not first-come first-serve).