📚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 [quotes]

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]

John Hoffmann, "Principles of Data Management and Presentation", 2017 [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 [quotes]

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]

James G Scott, "Data Science: A Gentle Introduction", 2018 [source]

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]

James G Scott, "Statistical Modeling: A Gentle Introduction", 2017 [source]

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 [quotes]

Mike Barlow, "Learning to Love Data Science", 2015 [quotes]

Dina Gray et al, "Measurement Madness: Recognizing and avoiding the pitfalls of performance measurement", 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]

Bart Kosko, "Noise", 2006 [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 [quotes]

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

Scott Berinato, "Good Charts : the HBR guide to making smarter, more persuasive data visualizations", 2023 [quotes]

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

Vidya Setlur & Bridget Cogley, "Functional Aesthetics for data visualization", 2022 [quotes]

Alan Smith, "How Charts Work: Understand and explain data with confidence", 2022 [quotes] 

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

Stephen Few, "Now You See It: An Introduction to Visual Data Sensemaking", 2021 [quotes]

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

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]

The Data Loom: Weaving Understanding by Thinking Critically and Scientifically With Data, 2019 

Danyel Fisher & Miriah Meyer, "Making Data Visual", 2018 [quotes]

Kristen Sosulski, "Data Visualization Made Simple: Insights into Becoming Visual", 2018 [quotes]

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

Jorge Camões, "Data at Work: Best practices for creating effective charts and information graphics in Microsoft Excel", 2016 [quotes] 

Stephen Few, Signal: Understanding What Matters in a World of Noise, 2015 [quotes]

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]

Stephen Few, "Show Me the Numbers: Designing Tables and Graphs to Enlighten", 2012 [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 [quotes]

Stephen Few, Now You See It: Simple Visualization Techniques for Quantitative Analysis, 2009

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

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]

Stephen Few, "Show Me The Numbers: Designing Tables And Graphs To Enlighten", 2004 [quotes]

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

Edward R Tufte, "The cognitive style of PowerPoint", 2003 [quotes]

Gene Zelazny. "Say It with Charts: The executive’s guide to visual communication" 4th Ed., 2001 [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 [quotes]

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] 

Rukmani Gopalan, "The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture", 2022 [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]

George B Dyson, "Turing's Cathedral: The Origins of the Digital Universe", 2012 [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 [link]

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

Alfred R Ilersic, "Statistics", 1959 [quotes]

Roy D G Allen, "Statistics for Economists", 1951 [quotes]

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 [quotes]

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]