2020 Reading List

I hit my goal of reading one book a month for 2020. That is the most non-school related reading I have done since I was a teenager, and it was really fun! For the first time in nearly a decade I decided it was ok to spend time reading for fun (aka sci-fi) and not just for work. I also read a WWII story which was something completely different for me, I really enjoyed diving into something new. 

Data Science Books

This year I learned that there are benefits to reading for fun as well as for learning, and reading for fun. Reading sci-fi or fantasy fuels my creativity and let’s me think differently about the world. Reading books about history helps me understand humanity’s past and the ways we have behaved. There is benefit to seeing the world through someone else’s eyes whether it is fact or fiction. 

Books I read in 2020:

  • Weapons of Math Destruction by Cathy O’Neil
  • Ultra Learning by Scott Young
  • Invisible Women: Data Bias in a World Designed for Men by Caroline Criado Perez
  • Algorithms To Live By: The Computer Science of Human Decisions by Brian Christian
  • Make It Stick: The Science of Successful Learning by Peter C. Brown
  • Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career by Kirill Eremenko
  • Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals by Brent Dykes
  • The Power by Naomi Alderman
  • Red Rising by Pierce Brown
  • Golden Son by Pierce Brown
  • Morning Star by Pierce Brown
  • Unbroken by Laura Hillenbrand

My goal for 2021 is to join the #bookaweekchallenge, what books should I put on that list?

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