Courses

This course will provide a comprehensive introduction to programming with Python, starting from the basics. Beyond confidently using Python, the class will focus on solving problems around Data Processing and Analysis. Additionally, we will discuss for what types of problems Python is the right choice and how to...
Instructor: Eszter Somos
Credits: 2.0
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Instructor: Laura Ipacs
Credits: 2.0
This course is designed to help the students understand the important concepts and techniques used in Tableau to move from simple to complex visualizations and learn how to combine them in interactive dashboards.
Instructor: Ivett Kovács
Credits: 1.0
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Instructor: Joy Chan
Credits: 2.0
Type: electiveTiming: Full time, part time: weekday evening This course will enable students select the right visualization form to their data and present them in a way to engage their audience. We will learn through exercise how data visualizations work, what are the best practices and how to avoid common pitfalls....
Instructor: Krisztina Szűcs
Credits: 1.0
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Instructor: Davide Torsello
Credits: 2.0
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Instructor: Mark Walton
Credits: 2.0
The course provides an introduction to the art and science of trading. Various timeframes, markets, instruments and analytical methods will be discussed. Success factors of automated and semi-automated trading strategies will be explored. Students will, in groups, design, backtest and forward-test their own trading...
Instructor: Ferenc Meszaros
Credits: 2.0
This seminar series (6x 100 min presentations/talks) will feature prominent practitioners talking about data science projects in their organizations. Talks may cover a variety of topics such as data collection, modelling, production, data warehouse development, data science team building.
Instructor: Gábor Békés
Credits: 1.0