The pioneering new textbook Data Analysis for Business, Economics, and Policy by Gábor Békés and Gábor Kézdi is due to be published May 6 by Cambridge University Press. The textbook, already used in all our master's programs, breaks brand new ground in teaching the art of modern data analytics.
Gábor Békés is Assistant Professor and Deputy Head of MS in Business Analytics at CEU. Gábor Kézdi, previously at CEU, is Research Professor at the University of Michigan’s Institute for Social Research.
The textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
“This exciting new text covers everything today’s aspiring data scientist needs to know. [...] Like a good confidence interval, the Gabors have got you almost completely covered!” - Joshua Angrist, MIT
"This is an excellent book for students learning the art of modern data analytics. It combines the latest techniques with practical applications, replicating the implementation side of classroom teaching that is typically missing in textbooks." - Nicholas Bloom, Stanford
"A beautiful integration of Econometrics and Data Science [...] Exactly what is needed to equip the next generation of students with the tools and insights from the two fields.” - David Card, UC Berkeley