Description: Thinking Clearly with Data : A Guide to Quantitative Reasoning and Analysis, Hardcover by De Mesquita, Ethan Bueno; Fowler, Anthony, ISBN 0691214360, ISBN-13 9780691214368, Brand New, Free shipping in the US
An engaging introduction to data science that emphasizes critical thinking over statistical techniques
An introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives.
Among much else, th teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, th shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel.
Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking.
- An ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields
- Introduces the basic toolkit of data analysis—including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity
- Uses real-world examples and data from a wide variety of subjects
- Includes practice questions and data exercises
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Number of Pages: 400 Pages
Language: English
Publication Name: Thinking Clearly with Data : a Guide to Quantitative Reasoning and Analysis
Publisher: Princeton University Press
Subject: Methodology, Sociology / General, General, Data Processing
Publication Year: 2021
Item Height: 1.1 in
Item Weight: 33.4 Oz
Type: Textbook
Author: Anthony Fowler, Ethan Bueno De Mesquita
Subject Area: Computers, Political Science, Social Science
Item Length: 10.2 in
Item Width: 7.4 in
Format: Hardcover
