Life & fun · alternatives · 2026

24 alternatives to 30 Must Read Books in Analytics and Data Science

Compilation of 30 Must Read Book in Analytics & Data Science

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. 30 Must Read Books in Analytics and Data Science launched in 2017; newer entries below may have overtaken it.

1. 1
   Data Science & it's Essentials▲77

   Must haves for a Data Scientist

   2016 · simplilearn.com · its alternatives →

2. 2
   The Data Science Handbook▲79

   Advice and insights from 25 amazing data scientists

   2017 · amazon.com · its alternatives →

3. 3
   The Analytics Setup Guidebook▲136

   Build scalable analytics & BI stacks in modern cloud era 📚

   2020 · holistics.io · its alternatives →

4. 4
   Startup Books▲216

   Book recommendations from over 100 founders and makers

   2019 · postmake.io · its alternatives →

5. 5
   Getting Your First Data Science Job▲89

   Free 70-page book on data science careers with expert advice

   2016 · learn.springboard.com · its alternatives →

6. 6
   Lean Analytics▲100

   Use data to build a better startup faster

   2015 · leananalyticsbook.com · its alternatives →

7. 7
   Which Book Should I Read?▲104

   A recommendation tool to find your next book

   2017 · whichbookshouldiread.com · its alternatives →

8. 8
   Best Startup Books▲118

   600+ must-read startup books for founders

   2022 · investorhunt.co · its alternatives →

9. 9
   Three Books▲129

   Top three books personally recommended by tech people

   2019 · threebooks.glideapp.io · its alternatives →

10. 10
    Data Science from Scratch▲76

    Data Science and Python, starting at zero

    2015 · joelgrus.com · its alternatives →

11. 11
    Top Startup Books▲282

    A collection of must-read books for startup founders.

    2015 · startupbooks.top · its alternatives →

12. 12
    Data Science for Business▲68

    Data mining and data-analytic thinking

    2016 · oreilly.com · its alternatives →

13. 13
    Data Analysis with Open Source Tools▲69

    How to think about data

    2015 · amazon.com · its alternatives →

14. 14
    Truth or Truthiness▲64

    Learn to think like a data scientist

    2017 · amazon.com · its alternatives →

15. 15
    Data Analytics for Beginners▲2

    Become A Data Scientist Or Data Literate Professional

    2017 · amazon.com · its alternatives →

16. 16
    Captivology▲120

    Capture attention for your products and ideas (book)

    2015 · its alternatives →

17. 17
    Data Science for Business▲2

    What You Need to Know about Data Mining

    2017 · amazon.com · its alternatives →

18. 18
    33 Books▲72

    Tools for Considered Consumption

    2015 · 33books.com · its alternatives →

19. 19
    100 Million Books▲186

    Discover a new book every time you open a new tab.

    2017 · its alternatives →

20. 20
    Maker Reads▲182

    Data-driven book recommendations for entrepreneurs

    2020 · its alternatives →

21. 21
    Data-Driven Marketing▲73

    The 15 Metrics Everyone in Marketing Should Know

    2015 · amazon.com · its alternatives →

22. 22
    Winning with Data▲107

    Practical handbook on how to leverage data in your company

    2016 · amazon.com · its alternatives →

23. 23
    Web Analytics 2.0▲66

    New framework that will change how you think about analytics

    2016 · amazon.com · its alternatives →

24. 24
    8 Essential Concepts of Big Data and Hadoop▲71

    Everything you need to know about Big Data

    2016 · simplilearn.com · its alternatives →

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →