.

More than 100 data science, analytics, big data, visualization books

Also, coming soon (March 2014), my data science book published by Wiley, full of new material. I have written 6.5 chapters out of 8 so far, and I will share the table of content in our next weekly digest. This 300+ pages book will be our reference book for our data science apprenticeship.

A section of my bookcase

Book and journal listing

Books at the top tend to be more recent. Feel free to add your book. 

  1. Implementing Analytics
  2. Visualizing Data
  3. Data Mining Discovering and Visualizing Patterns with Python
  4. Data Science for Business
  5. A Concise Guide to Compositional Data Analysis
  6. Alternative Methods of Regression
  7. How Algorithms Came to Rule Our World
  8. Machine Learning and Statistics, by Lion Solver
  9. Applied Data Science | Columbia University Course
  10. Analyzing the Analyzers
  11. Two books on programming interviews
  12. Forecasting: principles and practice
  13. Big Data Journal
  14. Three data science journals
  15. Practical Data Science with R
  16. Machine Learning plus Intelligent Optimization
  17. Advanced Database Marketing
  18. Predictive Analytics: Microsoft Excel
  19. Two new data science books from CRC Press
  20. Delivering Business Analytics: Practical Guidelines for Best Practice
  21. Secrets of the Big Data Revolution
  22. My O'Reilly book collection
  23. I could not resist adding this book
  24. Two new books on data analysis with open source
  25. 60 statistics textbooks
  26. 5 books on data visualization
  27. Forbes' recommended list
  28. Naked Statistics: Stripping the Dread from the Data
  29. Business Analytics: A Practitioner's Guide
  30. SAS Books
  31. A Practitioner's Guide to Business Analytics
  32. Mining of Massive Data Sets
  33. Two interesting books
  34. Hadoop in Practice
  35. Improving Accuracy Through Combining Predictions 
  36. 30 statistics handbooks
  37. Causality
  38. Handbook of Engineering Statistics
  39. 16 books for statistical consultants
  40. Three popular data mining books 
  41. Statistics for Non-Statisticians
  42. A few new books from the CRC Press
  43. New journal: Decision Analytics 
  44. Machine Learning in Action
  45. Big Data - Principles and best practices of scalable realtime data ...
  46. Handbook of Data Intensive Computing
  47. Practical Text Mining and Statistical Analysis for Non-structured T...
  48. New books on design of experiments (DOE)
  49. Data Mining: Concepts and Techniques
  50. Keyword Intelligence: Keyword Research for Search, Social, and Beyond
  51. Journal of Data Science
  52. Data Mining (Wiley / IEEE)
  53. Big Data Now: Current Perspectives from O'Reilly Radar
  54. Great statistics reference book covering a lot of topics
  55. The R Journal
  56. Data Analysis with Open Source Tools
  57. Competing on Analytics: The New Science of Winning
  58. Presenting to Win: The Art of Telling Your Story
  59. Information Visualization
  60. Encyclopedia of Machine Learning
  61. Analyzing Data from Facebook, Twitter, Linkedin, and Other Social M...
  62. Handbook of Natural Language Processing
  63. Mining of Massive Datasets (free)
  64. Business Analytics for Managers
  65. Handbook of Fitting Statistical Distributions with R (1,718 pages)
  66. Data Mining Techniques in CRM: Inside Customer Segmentation
  67. 10 new data mining books from IGI
  68. Handbook of Statistical Analysis and Data Mining Applications

Another section of my bookcase:

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Tags: data mining techniques

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Comment by Ruan on November 29, 2014 at 1:56am

Thanks sir.

Comment by Steven Mills on May 22, 2014 at 10:07am

Check out our free ebook, The Field Guide to Data Science - http://www.boozallen.com/insights/insight-detail/data-science-field...

Comment by Steven Paul Sanderson II on December 16, 2013 at 3:25pm

Great list, I'll be coming through it again in order to check through Amazon.

Comment by Bill Schmarzo on December 5, 2013 at 6:25pm

Don't know if it deserves to be on the list or not, but "Big Data: Understanding How Data Powers Big Business" provides a How To guide to help organizations understand how the insights gleaned from big data can power their key business processes and uncover monetization opportunities. The book provides pragmatic advice, techniques, methodologies, use cases, worksheets and even training materials to help organizations envision and prioritize their big data use cases.

Here's the link:

http://www.wiley.com/WileyCDA/WileyTitle/productCd-1118739574.html

Thanks for considering.

Comment by Tony DiLoreto on November 8, 2013 at 12:07pm

Nice list - I have about 25% of these now. Which do you recommend as "must haves" from your list? Maybe 3-5.

Comment by Stanley K on November 7, 2013 at 2:52pm
Very impressive list.
Comment by Vincent Granville on November 7, 2013 at 9:33am

A few additions:

Comment by Dr. Mohan K. Bavirisetty on November 7, 2013 at 8:24am

I recommend "KEEPING UP WITH THE QUANTS Your Guide to Understanding and Using Analytics" by  Thomas H. Davenport 

Comment by James Rutt on November 7, 2013 at 8:15am

Can't wait for the book Vincent. You've done a yeoman's job with this site and I find myself scouring it constantly. Can't wait for the apprenticeship.

Comment by Jack Golding on November 6, 2013 at 4:47pm

Really excited about your book Vincent, I've found your material on these topics to be extremely valuable and honest.

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