Format:
1 online resource (xxvi, 714 pages)
,
digital, PDF file(s).
ISBN:
9781108591102
,
9781108483018
,
9781108716208
Content:
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.
Note:
Title from publisher's bibliographic system (viewed on 03 May 2021)
Additional Edition:
ISBN 9781108483018
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9781108483018
Language:
English
DOI:
10.1017/9781108591102
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