Math & Statistics
Last updated: October 11, 2024
The best books on math and statistics, as recommended by some of the most eminent academics and public figures in the field. Reading lists on subjects including risk and probabilities, the beauty of math, quantum theory, and the history of mathematics.
For a general introduction to the field, why not look at our book selections on The Beauty and Fun of Mathematics by Dana Mackenzie, or The Beauty of Maths by Marcus du Sautoy? You could then dig deeper into the history of this wonderful discipline, or the best ways to teach it.
If your interest lies more in statistics and modelling, you'll enjoy our interviews on Statistics and Risk with David Spiegelhalter, Statistics Books with Andrew Gelman, and Risk Management Books with Graciela Chichilnisky.
Find your next math book here.
The best books on Maths, recommended by Alex Bellos
The author of Alex’s Adventures in Numberland tells us about popular attempts to explain the history of counting and numbers. He chooses the best books to read about maths.
Favourite Maths Books, especially Geometry, recommended by David Acheson
From Thales’s theorem to the Banach-Tarski paradox, Oxford mathematician David Acheson’s book, The Wonder Book of Geometry, is a lively attempt to bring to life geometry—literally, ‘earth measurement’—and make it accessible to the general public. Here, David recommends some of the books that influenced him, “in the order in which I met them, over a timespan of some 60 years.”
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1
Statistical Evidence: A Likelihood Paradigm
by Richard Royall -
2
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
by Nathan Yau -
3
Storytelling with Data: A Data Visualization Guide for Business Professionals
by Cole Nussbaumer Knaflic -
4
An Introduction to Statistical Learning: with Applications in R
by Daniela Witten, Gareth James, Robert Tibshirani & Trevor Hastie -
5
Design Thinking: Understanding How Designers Think and Work
by Nigel Cross
The best books on Data Science, recommended by Roger D. Peng
The best books on Data Science, recommended by Roger D. Peng
From complex techniques only used by academic statisticians, data science has risen to extreme popularity in only a few years. Roger D. Peng, Professor of Biostatistics at Johns Hopkins University and founder of one of the largest data science online courses, helps us understand this discipline and recommends the five best books to delve into it.
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1
X and the City: Modeling Aspects of Urban Life
by John A. Adam -
2
In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation
by William J. Cook -
3
Who's #1?: The Science of Rating and Ranking
by Amy N. Langville and Carl D. Meyer -
4
50 Visions of Mathematics
by Sam Parc -
5
In Pursuit of the Unknown: 17 Equations That Changed the World
by Ian Stewart
The best books on Applied Mathematics, recommended by Nick Higham
The best books on Applied Mathematics, recommended by Nick Higham
It can be used to understand everything from bedbugs to traffic jams and helps us take photos and fly planes. Maths professor and author Nick Higham picks five books that show the many wonders of applied maths.
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1
Leonhard Euler: Mathematical Genius in the Enlightenment
by Ronald S. Calinger -
2
A Concise History of Mathematics
by Dirk S. Struik -
3
The History of Mathematics: A Reader
by Jeremy Gray & John Fauvel -
4
The Mathematical Pamphlets of Charles Lutwidge Dodgson and Related Pieces
by Charles Dodgson -
5
Mathematical Models
by H. M. Cundy and A. P. Rollett.
The best books on The History of Mathematics, recommended by Robin Wilson
The best books on The History of Mathematics, recommended by Robin Wilson
Why should we be interested in the history of mathematics? Mathematics, like painting, music, literature, has a long history, says Robin Wilson. Indeed, it’s longer than most, since the first writing is believed to be numerical. Mathematics is also multicultural, with its historical origins in Africa, the Middle East and Asia.
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1
Structure and Interpretation of Computer Programs
by Gerald Jay Sussman, Harold Abelson & Julie Sussman -
2
The Algorithm Design Manual
by Steven S. Skiena -
3
The Pragmatic Programmer: From Journeyman to Master
by Andrew Hunt & David Thomas -
4
The Art of Readable Code
by Dustin Boswell & Trevor Foucher -
5
Style: Lessons in Clarity and Grace
by Joseph Bizup & Joseph M. Williams
The best books on Computer Science for Data Scientists, recommended by Hadley Wickham
The best books on Computer Science for Data Scientists, recommended by Hadley Wickham
Data science is often said to be built on three pillars: domain expertise, statistics, and programming. Hadley Wickham, Chief Scientist at RStudio and creator of many packages for the R programming language, chooses the best books to help aspiring data scientists build solid computer science fundamentals.
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1
Proofs and Refutations: The Logic of Mathematical Discovery
by Imre Lakatos -
2
The Common Sense of Teaching Mathematics
by Caleb Gattegno -
3
Calculus by and for Young People
by Donald Cohen -
4
Teaching Mathematics: Towards a Sound Alternative
by Brent Davis -
5
Starting Points for Teaching Mathematics in Middle and Secondary Schools
by Banwell & Saunders and Tahta
The best books on Teaching Maths, recommended by Alf Coles
The best books on Teaching Maths, recommended by Alf Coles
What is the best way to teach maths? Maths teacher and author Alf Coles recommends books that offer some clues.
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1
The Art of Statistics: Learning from Data
by David Spiegelhalter -
2
Do Dice Play God?: The Mathematics of Uncertainty
by Ian Stewart -
3
Humble Pi: A Comedy of Maths Errors
by Matt Parker -
4
Infinite Powers: The Story of Calculus
by Steven Strogatz -
5
The Creativity Code: Art and Innovation in the Age of AI
by Marcus du Sautoy
The Best Math Books of 2019, recommended by Kit Yates
The Best Math Books of 2019, recommended by Kit Yates
As math becomes increasingly important in our daily lives, eminent mathematicians and statisticians have stepped up to the plate, writing books that are engaging for non-experts—and sometimes even funny. Kit Yates, a mathematical biologist and author of The Math of Life and Death, recommends the best math books of 2019.
The best books on Quantum Theory, recommended by Vlatko Vedral
The professor of quantum information theory at Oxford tells us about books that successfully popularise quantum physics and the science of complex systems. Look, no equations!
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1
The Misbehavior of Markets: A Fractal View of Financial Turbulence
by Benoit B. Mandelbrot -
2
Foundations of Economic Analysis
by Paul A. Samuelson -
3
Why Stock Markets Crash: Critical Events in Complex Financial Systems
by Didier Sornette -
4
Beat the Market: A Scientific Stock Market System
by Edward O. Thorp and Sheen T. Kassouf -
5
The Trouble With Physics: The Rise of String Theory, The Fall of a Science, and What Comes Next
by Lee Smolin
The best books on Physics and Financial Markets, recommended by James Owen Weatherall
The best books on Physics and Financial Markets, recommended by James Owen Weatherall
Blaming “the quants” for the 2008 financial crisis is simplistic and short-sighted, says the author of The Physics of Wall Street. He picks five books showing the contribution physics has made to understanding financial markets.