Amsterdam, Netherlands

Foundations of Data Analysis and Machine Learning in Python

when 25 July 2022 - 29 July 2022
language English
duration 1 week
credits 3 EC
fee EUR 1000

Research, policymaking, and business rely on ever-bigger data to answer wide-ranging questions. What are the risk factors for developing a disease? Which individuals do we need to charge a higher insurance premium? How to best forecast inflation? How to optimally target online advertisements? Machine learning techniques are well-suited to answer such data-driven questions.

Course leader

Lukas Hoesch is an Assistant Professor at the Department of Econometrics and Data Science at Vrije Universiteit Amsterdam. Ronald de Vlaming is an Assistant Professor at the Department of Economics at Vrije Universiteit Amsterdam.

Target group

The summer course welcomes (research) master students, PhD students and post-docs with a quantitative background and who are interested in understanding and applying state-of-the-art machine-learning techniques for classification, prediction, and forecasting. We also welcome professionals from policy institutions such as central banks or international firms and institutions.

Course aim

In this course, you will learn about a wide variety of machine learning techniques, ranging from linear and non-linear regression models to dimensionality-reduction techniques, clustering methods and deep learning using artificial neural networks. Special attention will be paid to both a theoretical understanding of the various methods as well as to real-life applications of the techniques using Python.

Credits info

3 EC
Participants who joined at least 80% of all sessions will receive a certificate of participation stating that the summer school is equivalent to a workload of 3 ECTS. Note that it is the student’s own responsibility to get these credits registered at their university.

Fee info

EUR 1000: PhD and Master Students

The course fee covers tuition, course materials, daily lunches and coffee/tea during short breaks, social event including a dinner and farewell drinks. The course fee does not include accommodation. Please ask us about discount options for a student hotel.
EUR 1500: Academics (incl postdocs) € 1.500
Professionals € 2.000