Books on Data

The books below will more likely help you in your career, and some (mainly the ones on popularization) even in your personal life. If you're not sure whether they're worth of investing in, check the quotes I selected and found as useful!

Artificial Intelligence 

Erik J Larson, "The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do", 2021 (quotes)

Pedro Domingos, "The Master Algorithm", 2015 (quotes)

Sandhya Samarasinghe, "Neural Networks for Applied Sciences and Engineering: From fundamentals to advanced pattern recognition", 2007

Business Intelligence 

Sonia Mezzetta, "Principles of Data Fabric", 2023

John Doerr, "Measure what Matters", 2018 (quotes)

Paul R Niven & Ben Lamorte, "Objectives and Key Results: Driving Focus, Alignment, and Engagement with OKRs", 2016

Piyanka Jain & Puneet Sharma, "Behind Every Good Decision: how anyone can use business analytics to turn data into profitable insight", 2015

David Parmenter, "Key Performance Indicators: Developing, implementing, and using winning KPIs" 3rd Ed., 2015 (quotes)

Zachary Karabell, "The Leading Indicators: A short history of the numbers that rule our world", 2014 (quotes)

Cindi Howson, "Successful Business Intelligence: Secrets to making BI a killer App", 2008 (quotes)

Data Analysis 

DeWayne R Derryberry, "Basic data analysis for time series with R", 2014 (quotes)

Roxy Peck et al, "Introduction to Statistics and Data Analysis" 4th Ed., 2012 (quotes)

Glenn J Myatt, "Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining", 2006

John W Murphy, "Technical Analysis of the Financial Markets", 1999 

Douglas A Downing & Jeffrey Clark, "Forgotten Statistics: A Self-Teaching Refresher Course", 1996 

Judea Pearl, "Probabilistic Reasoning in Intelligent Systems: Network of Plausible Inference", 1988

John M Chambers et al, "Graphical Methods for Data Analysis", 1983 (quotes)

John W Tukey, "Exploratory Data Analysis", 1977 (quotes)

Ronald A Fisher, "The Design of Experiments", 1971 (quotes)

Data Literacy

Angelika Klidas & Kevin Hanegan, "Data Literacy in Practice", 2022 (quotes) 

Jordan Morrow, "Be Data Literate: The data literacy skills everyone needs to succeed", 2021 (quotes)

Jennifer Belissent, "Data Literacy Matters - Do We Have To Spell It Out?!", 2019

Zach Gemignani et al, "Data Fluency", 2014 (quotes)

Data Management

Robert Hawker, "Practical Data Quality: Learn practical, real-world strategies to transform the quality of data in your organization", 2023 (quotes)

Piethein Strengholt, "Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric" 2nd Ed., 2023 (quotes)

Jesús Barrasa et al, "Knowledge Graphs: Data in Context for Responsive Businesses", 2021 (quotes)

Ian Wallis, "Data Strategy: From definition to execution", 2021 (quotes)

Piethein Strengholt, "Data Management at Scale: Best Practices for Enterprise Architecture", 2020 (quotes)

Rupa Mahanti, "Data Quality: Dimensions, Measurement, Strategy, Management, and Governance", 2019 (quotes)

Mike Fleckenstein & Lorraine Fellows, "Modern Data Strategy", 2018 (quotes)

DAMA International, "DAMA-DMBOK: Data Management Body of Knowledge", 2017

Joel Katz, "Designing Information: Human factors and common sense in information design", 2012 (quotes)

Charles D Tupper, "Data Architecture: From Zen to Reality", 2011 (quotes)

Danette McGilvray, Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, 2008

Dhanurjay Patil, "Data Jujitsu: The Art of Turning Data into Product", 2012 (quotes)

Sid Adelman et al, "Data Strategy", 2005 (quotes)

Margaret Y Chu, "Blissful Data", 2004 (quotes)

Data Science

Brett Lantz, "Machine Learning with R", 2019

Gary Smith & Jay Cordes, "The 9 Pitfalls of Data Science", 2019 (quotes)

Charu C Aggarwal, "Neural Networks and Deep Learning: A Textbook", 2018

Benjamin Bengfort et al, "Applied Text Analysis with Python", 2018 (quotes)

John D Kelleher & Brendan Tierney, "Data Science", 2018 (quotes)

Field Cady, "The Data Science Handbook", 2017 (quotes)

Danish Haroon, "Python Machine Learning Case Studies", 2017 (quotes)

Jesús Rogel-Salazar, "Data Science and Analytics with Python", 2017 (quotes)

N D Lewis, "Deep Learning Made Easy with R: A Gentle Introduction for Data Science", 2016 (quotes)

John P Mueller & Luca Massaron, "Machine Learning for Dummies", 2016

Mike Barlow, "Learning to Love Data Science", 2015 (quotes)

Matthew Kirk, "Thoughtful Machine Learning", 2015 (quotes)

Ian Goodfellow et al, "Deep Learning", 2015 (quotes)

John D Kelleher et al, "Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, worked examples, and case studies", 2015 (quotes)

DeWayne R Derryberry, "Basic Data Analysis for Time Series with R" 1st Ed, 2014 (quotes)

Foster Provost, "Data Science for Business", 2013 (quotes)

Randall E Schumacker & Richard G Lomax, "A Beginner’s Guide to Structural Equation Modeling" 3rd Ed., 2010 (quotes)

Joseph P Bigus,"Data Mining with Neural Networks: Solving business problems from application development to decision support", 1996 (quotes)

Nikola K Kasabov, "Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering", 1996 (quotes)

Data Storytelling 

Brent Dykes, "Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals", 2019

Sejal Vora, "The Power of Data Storytelling", 2019

Cole N Knaflic, "Storytelling with Data: A Data Visualization Guide for Business Professionals", 2015 (quotes)

Dave McKinsey, Strategic Storytelling: How to Create Persuasive Business Presentations, 2014

Jason Lankow et al, "Infographics: The Power of Visual Storytelling", 2013

Data Visualization

Kate Strachnyi, "ColorWise: A Data Storyteller’s Guide to the Intentional Use of Color", 2023 (quotes)

Jack Dougherty & Ilya Ilyankou, "Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code", 2021

Michael Friendly & Howard Wainer, "A History of Data Visualization and Graphic Communication", 2021

Steve Wexler, "The Big Picture: How to use data visualization to make better decisions - faster", 2021 (quotes)

Murray Dick, "The Infographic: A History of Data Graphics in News and Communications", 2020

Tim Harford, "The Data Detective: Ten easy rules to make sense of statistics", 2020 (quotes)

Ben Jones, "Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations", 2020 (quotes)

Robert Grant, "Data Visualization: Charts, Maps and Interactive Graphics", 2019 (quotes)

Danyel Fisher & Miriah Meyer, "Making Data Visual", 2018 (quotes)

Steve Wexler et al, "The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios", 2017

Phil Simon, "The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions", 2014 (quotes)

Raj Kamal, "Everyday Visuals as News", 2014

Nathan Yau, "Data Points: Visualization That Means Something", 2013 (quotes)

Felice C Frankel & Angela H DePace, "Visual Strategies", 2012 (quotes)

Andy Kirk, "Data Visualization: A successful design process", 2012 (quotes) 

Graham Wills, "Visualizing Time: Designing Graphical Representations for Statistical Data", 2012

Alberto Cairo, "The Functional Art", 2011 (quotes)

Noah Iliinsky & Julie Steel, "Designing Data Visualizations", 2011 (quotes)

Brian Suda, "A Practical Guide to Designing with Data", 2010

Martin Theus & Simon Urbanek, "Interactive Graphics for Data Analysis: Principles and Examples", 2009

Jenny Freeman et al, "How to Display Data", 2008 (quotes)

Nicholas Strange, "Smoke and Mirrors: How to bend facts and figures to your advantage", 2007 (quotes)

Stephen Few, "Information Dashboard Design", 2006 (quotes)

Naomi B Robbins, "Creating More effective Graphs", 2005 (quotes)

Colin Ware, "Information Visualization: Perception for Design" 2nd Ed., 2004

Edward R Tufte, "The cognitive style of PowerPoint", 2003 (quotes)

Leland Wilkinson, "The Grammar of Graphics", 1999 (source)

Robert L Harris, "Information Graphics: A Comprehensive Illustrated Reference", 1996 (source)

Mary H Briscoe, "Preparing Scientific Illustrations: A guide to better posters, presentations, and publications" 2nd ed., 1995 (quotes)

William S Cleveland, "Visualizing Data", 1993 (quotes)

Edward R Tufte, "Envisioning Information", 1990 (quotes)

Bruce Robertson, "How to Draw Charts & Diagrams", 1988 (quotes)

William S Cleveland, "The Elements of Graphing Data", 1985 (quotes)

John M Chambers et al, "Graphical Methods for Data Analysis", 1983 (quotes)

Edward R Tufte, "The Visual Display of Quantitative Information", 1983 (quotes) 

Anker V Andersen, "Graphing Financial Information: How accountants can use graphs to communicate", 1983 (quotes)

Robert Lefferts, "Elements of Graphics: How to prepare charts and graphs for effective reports", 1981 (quotes)

Linda Reynolds & Doig Simmonds, "Presentation of Data in Science", 1981/1984 (quotes) 

Robert D Carlsen & Donald L Vest, "Encyclopedia of Business Charts", 1977

Cecil H Meyers, "Handbook of Basic Graphs: A modern approach", 1970 (quotes)

Jacques Bertin, "Semiology of graphics" ["Semiologie Graphique"], 1967 (quotes)

Anna C Rogers, "Graphic Charts Handbook", 1961 (quotes)

Walter E Weld, "How to Chart; Facts from Figures with Graphs", 1959 (quotes)

Calvin F Schmid, "Handbook of Graphic Presentation", 1954 (quotes)

Mary E Spear, "Charting Statistics", 1952 (quotes)

Rufus R Lutz, "Graphic Presentation Simplified", 1949 (quotes)

Willard C Brinton, "Graphic Presentation", 1939 (quotes)

H Gray Funkhouser, "Historical Development of the Graphical Representation of Statistical Data", Osiris 3, 1937

William C Marshall, "Graphical methods for schools, colleges, statisticians, engineers and executives", 1921 (quotes)

Allan C Haskell, "How to Make and Use Graphic Charts", 1919 (quotes)

Willard C Brinton, "Graphic Methods for Presenting Facts", 1915/1919 (quotes, review)

William Playfair, "The Commercial and Political Atlas", 1786 (quotes)

Data Warehousing

James Serra, "Deciphering Data Architectures", 2024 (quotes)

Sonia Mezzetta, "Principles of Data Fabric", 2023 (quotes) 

Bill Inmon et al, "Building the Data Lakehouse", 2021 (quotes)

Zhamak Dehghani, "Data Mesh: Delivering Data-Driven Value at Scale", 2021 (quotes)

Saurabh Gupta et al, "Practical Enterprise Data Lake Insights", 2018 (quotes)

William H Inmon & Daniel Linstedt, "Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault", 2015 (quotes)

William H Inmon, "Building the Data Warehouse" 4th Ed., 1992/2005 (quotes)

Information Security

Glenn Greenwald, "No Place to Hide", 2014 (quotes)

Mathematics (Popularization)

Nassim N Taleb, "Skin in the Game: Hidden Asymmetries in Daily Life", 2018 (quotes)

Nassim N Taleb, "The Black Swan", 2007 (quotes)

Nassim N Taleb, "Fooled by Randomness", 2001 (quotes)

Model Building

Randall E Schumacker & Richard G Lomax, "A Beginner’s Guide to Structural Equation Modeling" 3rd Ed., 2010

James R Thompson, "Empirical Model Building", 1989

Otis D Duncan, "Introduction to Structural Equation Models", 1975

Power BI

Orrin Edenfield & Edward Corcoran, Microsoft Power BI Data Analyst Certification Guide, 2022

Michiel Rozema & Henk Vlootman, Extreme DAX: Take your Power BI and Microsoft data analytics skills to the next level, 2022

Statistics 

Forrest W Young et al, "Visual Statistics: Seeing data with dynamic interactive graphics", 2016 (quotes) 

Kristin H Jarman, "The Art of Data Analysis: How to answer almost any question using basic statistics", 2013 (quotes)

Larry A Wasserman, "All of Statistics: A concise course in statistical inference", 2004 (quotes)

Fred C Pampel, "Linear Regression: A primer", 2000

Lawrence C Hamilton, "Data Analysis for Social Scientists: A first course in applied statistics", 1995 (quotes)

Lawrence C Hamilton, "Regression with Graphics: A second course in applied statistics", 1991 (quotes)

Roxy Peck & Jay L Devore, "Statistics: The Exploration and Analysis of Data", 1986

George E P Box et al, "Statistics for Experimenters: Design, discovery, and innovation", 1978/2005 (quotes)

Alfred R Ilersic, "Statistics", 1959

Michael J Moroney, "Facts from Figures", 1951 (quotes)

Arthur L Bowley, "Elements of Statistics", 1901 (quotes)

Statistics (Business)

Gerald van Belle, "Statistical Rules of Thumb", 2022 (quotes)

Victoria Cox, "Translating Statistics to Make Decisions: A Guide for the Non-Statistician", 2017

William L Crum et al, "Introduction to Economic Statistics", 1938

William E Deming, "Statistical Adjustment of Data", 1938 (quotes)

John R Riggleman & Ira N Frisbee, "Business Statistics", 1938

Ronald A Fisher, "Statistical Methods for Research Workers", 1925 (quotes)

Statistics (Popularization)

Carl T Bergstrom & Jevin D West, "Calling Bullshit: The Art of Skepticism in a Data-Driven World", 2020 (quotes)

Tim Harford, "The Data Detective: Ten easy rules to make sense of statistics", 2020 (quotes) 

Vaclav Smil, "Numbers Don't Lie: 71 Things You Need to Know About the World", 2020 (quotes)

David Spiegelhalter, "The Art of Statistics: Learning from Data", 2019 (quotes)

Judea Pearl & Dana Mackenzie, "The Book of Why: The new science of cause and effect", 2018 (quotes) 

Daniel J Levitin, "Weaponized Lies", 2017 (quotes)

Beau Lotto, "Deviate: The Science of Seeing Differently", 2017 (quotes)

David S Salsburg, "Errors, Blunders, and Lies: How to Tell the Difference", 2017 (quotes)

Michael Sullivan, "Statistics: Informed Decisions Using Data", 5th Ed., 2017

Cathy O'Neil, "Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy", 2016 (quotes)

John H Johnson & Mike Gluck, "Everydata: The misinformation hidden in the little data you consume every day", 2016 (quotes) 

Stephen Few, "Signal: Understanding What Matters in a World of Noise", 2015 (quotes)

Alex Reinhart, "Statistics Done Wrong: The Woefully Complete Guide", 2015

Gary Smith, "Standard Deviations", 2014 (quotes)

Kaiser Fung, "Numbersense: How To Use Big Data To Your Advantage", 2013 (quotes)

Nate Silver, "The Signal and the Noise: Why So Many Predictions Fail-but Some Don't", 2012 (quotes)

Charles Wheelan, "Naked Statistics: Stripping the Dread from the Data", 2012 (quotes)

David Easley & Jon Kleinberg, "Networks, Crowds, and Markets: Reasoning about a Highly Connected World", 2010 (quotes) 

Kaiser Fung, "Numbers Rule the World", 2010 (quotes)

Alan Graham, "Developing Thinking in Statistics", 2006 (quotes) 

Charles Livingston & Paul Voakes, "Working with Numbers and Statistics: A handbook for journalists", 2005 (quotes)

James Surowiecki, "The Wisdom of Crowds", 2005 (quotes)

Joel Best, "More Damned Lies and Statistics: How numbers confuse public issues", 2004 (quotes)

Phillip I Good & James W Hardin, "Common Errors in Statistics (and How to Avoid Them)", 2003 (quotes)

Gerd Gigerenzer, "Calculated Risks: How to know when numbers deceive you", 2002 (quotes)

Joel Best, "Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists", 2001 (quotes)

Donald J Wheeler, "Understanding Variation: The Key to Managing Chaos" 2nd Ed., 2000 (quotes)

Herbert F Spirer et al, "Misused Statistics" 2nd Ed, 1998 (quotes)

Peter L Bernstein, "Against the Gods: The Remarkable Story of Risk", 1996 (quotes)

Victor Cohn & Lewis Cope, "News & Numbers: A writer’s guide to statistics, 1989 (quotes) 

Robert Hooke, "How to Tell the Liars from the Statisticians", 1983 (quotes) 

Darell Huff, "How to Lie with Statistics", 1954 (quotes)