How to Win the Premier League : The Inside Story of Football’s Data Revolution
Ian Graham
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Sports Analytics : A Guide for Coaches, Managers, and Other Decision Makers
Benjamin Alamar
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Working with Network Data : A Data Science Perspective
James (University of Vermont) Bagrow
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A Practical Guide to Data Analysis Using R : An Example-Based Approach
John H. (Statistics Research Associates, Wellington, New Z Maindonald
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Jeffrey A. (University of Michigan, Ann Arbor) Fessler
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Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
Reinhard (Universitat Hamburg) Diestel
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Designing Empirical Social Networks Research
Jennifer M. (Vanderbilt University, Tennessee) Larson
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Spatial Linear Models for Environmental Data
Dale L. (Dept. of Statistics, University of Iowa) Zimmerman
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Ordinal Data Analysis : Statistical Perspective with Applications
Nairanjana (Washington State University) Dasgupta
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From Concepts to Code : Introduction to Data Science
Adam P. Tashman
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Polls, Pollsters, and Public Opinion : A Guide for Decision-Makers
Clifford (Ipsos Public Affairs) Young
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Data Culture : Develop An Effective Data-Driven Organization
Dr Shorful Islam
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Be Data Literate : The Data Literacy Skills Everyone Needs to Succeed
Jordan Morrow
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Text Analytics for Corpus Linguistics and Digital Humanities : Simple R Scripts and Tools
Gerold (University of Zurich, Switzerland) Schneider
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The AI-Savvy Leader : Nine Ways to Take Back Control and Make AI Work
David De Cremer
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Covid By Numbers : Making Sense of the Pandemic with Data
David Spiegelhalter
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Beautiful News : Positive Trends, Uplifting Stats, Creative Solutions
David McCandless
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High-Dimensional Probability : An Introduction with Applications in Data Science
Roman (University of California, Irvine) Vershynin
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High-Dimensional Statistics : A Non-Asymptotic Viewpoint
Martin J. (University of California, Berkeley) Wainwright
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Data: A Guide to Humans
Phil Harvey
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