Courses

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Instructor: *
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
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: Gabor Bacsa
Credits: 1.0
This course will be made up the following elements:A) A series of workshop session focusing on your personal current leadership approach and style. You will explore your current way of dealing with challenges and how you interact with others, superiors, colleagues and subordinates. Based on this analysis we will ask...
Instructor: Zoltan Buzady
Credits: 2.0
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Instructor: Davide Torsello
Credits: 2.0
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Instructor: Chrys Margaritidis
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
Type: elective Term: Winter or SpringTiming: Full time, part time: weekday eveningBusiness decisions frequently require appropriate supporting information. However, information may be extracted from a variety of entry points, including both internal and external sources and information quality may be questionable or...
Instructor: Tibor Voros
Credits: 2.0
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Instructor: Tamas Boday
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