Data Book Club

In 2020, as most of the world went virtual, so too did the Tableau user group community which I am closely involved in. While we continued to have regular meetings, the networking and connection that came along with in-person meetings fell away. Craving more personal discussions, I thought a data-related book club would be a great way of getting like-minded folx together and facilitating a targeted discussion.

Anyone who is interested in reading a book about data and discussing it with others are welcome to sign up! Below is all the information you need to understand how it works and how to get involved.


  • Sign up below using your name and email address
  • You will be contacted via email with more specific details
  • You are responsible for purchasing/acquiring the book (if purchasing the book is cost prohibitive, reach out to see if there are ways we can help)
  • We aim to read a book each season (winter, spring, summer, and fall)
  • Join us for one or all of the books, there is no commitment and you can quit anytime
  • Live discussions are held every two weeks on Tuesdays at 12pm central time while the book is actively being read (there is a break between books)
  • Each meeting aims to discuss roughly 100 pages
  • Zoom is used to facilitate live discussions, using breakout rooms to create small groups
  • It is preferred that you join with video and ensure you connect your audio is linked to your video
  • A Slack workspace is used to facilitate asynchronous discussions (use this link to join)

Sign Up

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Summer 2023 Selection

This summer, the Data Book Club is reading Living in Data: A Citizen's Guide to a Better Information Future by Jer Thorp.

Past Book Club Selections

  • Winter 2020: The Signal and the Noise by Nate Silver
  • Spring 2021: How Charts Lie by Alberto Cairo
  • Summer 2021: Weapons of Math Destruction by Cathy O'Neil
  • Fall 2021: The Adaptation Advantage by Heather McGowan and Chris Shipley
  • Winter 2021: Storytelling with Data: Let's Practice by Cole Nussbaumer Knaflic
  • Spring 2022: Upstream by Dan Heath
  • Summer 2022: Invisible Women by Caroline Criado Perez
  • Fall 2022: Infinite Powers by Steven Strogatz
  • Winter 2022: You Look Like a Thing and I Love You by Janelle Shane
  • Spring 2023: Avoiding Data Pitfalls by Ben Jones

YouTube Playlist

Where possible, I try to make arrangements with the author for a Q&A. Recently, I have started recording them and posting them to YouTube. You can find the Data Book Club playlist here.

My Personal Reading List

The books I read tend to be closely related to the work I do, as it a true passion. Below are some of the things I'm currently reading and recently read. Follow or connect with me on GoodReads.

Currently Reading

Naked Statistics: Stripping the Dread from the Data
Thinking, Fast and Slow
Atlas Shrugged
Unlocking Financial Data: A Practical Guide to Technology for Equity and Fixed Income Analysts

The Internet of Money: A Collection of Talks by Andreas M. Antonopoulos
Evicted: Poverty and Profit in the American City
Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future
Five Presidents: My Extraordinary Journey with Eisenhower, Kennedy, Johnson, Nixon, and Ford
The Undoing Project: A Friendship That Changed Our Minds
What the Dog Saw and Other Adventures
Liar's Poker
Blink: The Power of Thinking Without Thinking
Cowboy Capitalism: European Myths, American Reality
Multiple Regression: A Primer
The Tipping Point: How Little Things Can Make a Big Difference
Outliers: The Story of Success
The Devil in the White City: Murder, Magic, and Madness at the Fair That Changed America
Seven Days in the Art World
Statistics For Economics, Accounting And Business Studies
Orange Is the New Black
The Big Short: Inside the Doomsday Machine
Understanding the Process of Economic Change
Game Change: Obama and the Clintons, McCain and Palin, and the Race of a Lifetime
Basic Statistics: Understanding Conventional Methods and Modern Insights

Brandi's favorite books »