Data Analysis for Business, Economics, and Policy

Békés,Gábor and Kézdi,Gábor
Authors registered in the RePEc Author Service: Gabor Kezdi and Gábor Békés

in Cambridge Books from Cambridge University Press

Abstract: This 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.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Book: Data Analysis for Business, Economics, and Policy (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:cbooks:9781108716208

Ordering information: This item can be ordered from
http://www.cambridge ... p?isbn=9781108716208

Access Statistics for this book

More books in Cambridge Books from Cambridge University Press
Bibliographic data for series maintained by Data Services ().