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The bestselling Data Analysis textbook is now available in Hungarian

The first part of the textbook by Gábor Békés and Gábor Kézdi, published by Cambridge University Press, is now available in Hungarian. Book launch at Corvinus.
2024.05.15. 17:00
Budapesti Corvinus Egyetem

Date: 15th of May 2024 17:00-19:00 

Location: Corvinus University of Budapest, E Main Building, Room E330  

Language: Hungarian 

The book is a translation of a textbook published by Cambridge University Press, written by former Corvinus students and taught in more than 200 universities in 30 countries around the world.  It is taught, for example, to students in New York, San Francisco, Ann Arbor, Toronto, London, Amsterdam, Milan, Vienna, Copenhagen, Tokyo, Kuala Lumpur and, of course, at Corvinus. The first half of the English edition is now being published in Hungarian.  

The book below is now available to order and can be purchased at a discount on the spot:  

Békés Gábor – Kézdi Gábor (2024) Adatelemzés üzleti, közgazdasági és szakpolitikai döntésekhez. Alinea kiadó, Budapest. Translated by Sarolta Rózsás, edited by Anna Bárdits.     

 

Program: 

17:00-17:10 Opening, welcome speech by Klára Major (Corvinus, Institute of Economics, Head of the Institute)  

17:10-17:30 Conversation with author Gábor Békés (Associate Professor, CEU Department of Economics) Dániel Horn (Associate Professor, Corvinus Institute of Economics) 

17:30-18:30 Round table discussion on business and policy data analytics, artificial intelligence and the use of data science in business in general. 

Moderator: Gábor Békés  

Participants:   

  • Viktória Bodnár – Managing Partner of IFUA Horváth, Corvinus lecturer;  
  • Péter Duronelly – Head of Data Analytics Group at Telekom;  
  • Dóra Fazekas – Head of Cambridge Econometrics Hungary;  
  • Vargha Simon – Google Cloud AI Lead Data Analyst.   

18:30-19:00 Further discussion and networking with participants in an informal setting with scones and refreshments. 

If you wish to participate, please register here

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