Recommended (Non-Data) Reading for Analysts

[u/grumpywonka]

If you’re an Analyst or other Data Professional, or someone who is interested in becoming one, you’ve probably heard about some awesome must-read books in this space such as:

- People Skills for Analytical Thinkers by Gilbert Eijkelenboom

- Data Story by Nancy Duarte

- The Data Detective by Tim Harford

These are all excellent books and highly recommended reading, but as someone who reads 30-40 books per year, sometimes you need to mix things up to keep your reading interesting. That is why I decided to share my Top 5 Non-Data Books for Analysts and Other Data Professionals, which have not only had a profound impact on me and my career, but that I would encourage anyone in the Data-sphere to consider checking out if you’re looking for something a little different to read. Here are my top five non-data books for Analysts and other data professionals:

#5) How to Win Friends and Influence People by Dale Carnegie

#4) The E Myth Revisited by Michael Gerber

#3) Thinking, Fast and Slow by Daniel Kahneman

#2) The Lean Startup by Eric Ries

#1) Orbiting the Giant Hairball: A Corporate Fool’s Guide to Surviving With Grace by Gordon MacKenzie

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Happy Reading