5 min
At the end of the day, data scientists should have a keen sense of business. They should know how managerial and financial economics work to leverage their skills to the fullest. While being a programming champion or a stat nerd might not hurt you, but ignoring business knowledge will harm a data scientist in the long run.
Any technical professional, especially data scientist should be in a position to under monetary tradeoffs in everyday decision making and also in the larger context. There is a special need for data knowledge workers to understand metrics and strategies in the world of business.
So here are 5 books that get you started:
1. High Output Management By Andrew Grove (Vintage, 1995)
2. The Hard Thing about Hard Thing: Building a Business When There are No Easy Answers By Ben Horowitz (Harper Business, 2014)
3. Zero to One: Note on Start-Ups, or How to Build the Future By Peter Thiel (Random House; 2014)
4. Antifragile: Things that Gain from Disorder By Nassim Nicholas Taleb(Penguin, 2013)
5. Fifty Things That Made the Modern Economy by Tim Harford (Little, Brown and Company, 2017)
Tim Harford is a very well known economics writer and commentator. This book is a great explainer of all objects that made our modern world and economies possible. The writer takes us step by step, to understand how and where we stand, Many hidden things will be laid out for the readers and also get in touch with the inventors who made these objects possible. Buy this book here.- Internet on Alert as AI Uncovers Critical Flaws in PHP Used by 70% of Websites
- From Claude Code Mods to Super Mario: What People Are Building on Jev
- 8 Reasons Why Anthropic’s New Report is an AI Doomer’s Worst Nightmare
- How VECV Built a Real-Time Data Backbone for 2,50,000 Connected Vehicles
- Anthropic Stands Alone Against Open Models
- The $205 Bn AI Bet Google Can’t Afford to Lose





