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 is 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 Fridays at 11am 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)

Ready? Click Here to Sign Up

Spring 2024 Selection

This spring the Data Book Club will be reading Calling Bullshit: The Art of Skepticism in a Data-Driven World by Carl T. Bergstrom and Jevin D. West. Sign up above!

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
  • Summer 2023: Living in Data by Jer Thorp
  • Fall 2023: Hello World by Hannah Fry
  • Winter 2023: An Economist Walks into a Brothel by Allison Schrager

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 »