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Data Analysis for Business, Economics, and Policy (Paperback)
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Data Analysis for Business, Economics, and Policy (Paperback)
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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.
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