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Data Analysis for Business, Economics, and Policy (Paperback) Loot Price: R1,561
Discovery Miles 15 610
You Save: R128 (8%)
Data Analysis for Business, Economics, and Policy (Paperback): Gabor Bekes, Gabor Kezdi

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

Gabor Bekes, Gabor Kezdi

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Was R1,689 Loot Price R1,561 Discovery Miles 15 610 | Repayment Terms: R146 pm x 12* You Save R128 (8%)

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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.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: May 2021
Authors: Gabor Bekes • Gabor Kezdi
Dimensions: 246 x 190 x 32mm (L x W x T)
Format: Paperback - Trade
Pages: 738
ISBN-13: 978-1-108-71620-8
Categories: Books > Reference & Interdisciplinary > Communication studies > Data analysis
Books > Business & Economics > Economics > Econometrics > Economic statistics
Books > Business & Economics > Business & management > Management of specific areas > General
Books > Business & Economics > Finance & accounting > Finance > Insurance > General
Books > Money & Finance > Insurance > General
LSN: 1-108-71620-2
Barcode: 9781108716208

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