Nick Ganju

Nick Ganju

Data Science and Analytics Expert

Nick Ganju recommends books on measurement, decision-making, and user experience. His selections balance quantitative thinking with practical application.

Investors & Finance

Nick Ganju is known for his work in data science and analytics, helping organizations measure what matters most. His reading list emphasizes the intersection of rigorous thinking and real-world problem-solving, from statistical reasoning to negotiation and design principles.

4 Books Recommended by Nick Ganju

Ranked by popularity across all reading lists on this site

Getting to Yes book cover
#1

Getting to Yes

by Roger Fisher

7 people recommendedrecommended 2x

I love [this book].

I love [this book].

Buy on Amazon →

Also recommended by: Drew Houston, Dustin Moskovitz, Tim Draper, Ann Miura Ko, Charlie Munger, Tim Ferriss

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#2

by

6 people recommended

About usability and making software and user interfaces that are friendly to people.

Also recommended by: Brian Armstrong, Ev Williams, Garry Tan, Jeff Atwood, Derek Sivers

How Not to Be Wrong book cover
#3

How Not to Be Wrong

by Jordan Ellenberg

5 people recommended

Written for an audience of people who have historically been intimidated by math [...] and introduces things in a very simple way, and then works up to more complex concepts.

Buy on Amazon →

Also recommended by: Bill Gates, Patrick Bet David, Keith Rabois, Derek Sivers

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#4

How to Measure Anything

by Douglas W. Hubbard

2 people recommended

About being outcome-based and getting these measurable outcomes.

Buy on Amazon →

Also recommended by: Julia Galef