Books

NOTE: We do not receive any form of compensation for recommending books. These are not Amazon affiliate links (you actually have to sell a lot or they cut you off). I just like the books listed below and think they are good reading for analytics professionals.

07/25/2019

Organize Tomorrow Today 8 Way to Retrain Your Mind by Dr. Jason Selk and Tom Bartow

I read a lot of productivity books. It’s one of my smaller obsessions. This is the best one yet. I checked it out from the library and renewed it three times so I could reread and take notes. This book is different because it focuses on micro-adjustments. And, it asks you to make those changes one at a time over a 3 month period, rather than all at once. It is also a great compliment to The Power of Habit, which I just happened to read right before this book. Check it out if…

  • You want to learn how to work in a more efficient and productive way.
  • You have tried other productivity hacks and haven’t made measurable gains.
  • You want to stand out in a crowd of average workers.

07/25/2019

The Power of Habit by Charles Duhigg

This book was on my reading list for quite a long time and it did not disappoint. I expected the book to focus on personal habits, but it’s actually split up into three parts — the habits of individuals, the habits of successful organizations, and the habits of societies. Thus, it’s a great read for anyone looking to make a meaningful change in business or society. My favorite part was the break down of the civil rights movement and their explanation for why Rosa Parks and Martin Luther King, Jr were able to create meaningful change where others had failed. Check it out if…

  • You want to understand how to make a long term change to your personal habits and behaviors.
  • You want to learn how to create change in an organization.
  • You want to stand out in a crowd of average workers.

05/06/2019

Sprint – How to Solve Big Problems and Test New Ideas in Just Five Days by Jake Knapp

Jake Knapp was one of the keynote speakers at the Gartner Analytics Conference in Orlando. He has spent over 10 years at Google and Google Ventures working the sprint method to speed up innovation. The sprint method works for designing products, services, robots, and reports. I’ll be working my first sprint in May and look forward to seeing how it pans out for us.

At the end of the book, the author talks about the Wright brothers (first in-flight). He says, “The Wright brothers started with an ambitious, practically crazy goal. At first, they didn’t know how to get there. So they figured out which big questions they needed to answer.” That is what a lot of analytics is about…figuring out which questions you need to answer. The main reason I like this book is that the sprint method drives you to focus on what are the important questions, and how do we answer them. Check out this book if…

  • Projects, products, or services take far too long to develop, and you want to speed it up.
  • You’ve experienced development failure at some point in the past.
  • You want to try something risky.

05/06/2019

Make Time – How to Focus on What Matters Every Day by Jake Knapp and John Zeratsky

This book was also written by Jake Knapp. it isn’t about how to do more with less time. “This is a book about slowing down the crazy rush. It’s about making time for things that matter.” Personally, I want to do all the things. I love my job, blogging, biking, gardening, cooking, yoga, and my real estate side hustle, and I want to be really good at all of those things. However, I often find myself doing easy tasks just to cross them off my list. While momentarily satisfying, that tactic doesn’t make meaningful progress on any of my goals. Read this book if…

  • You’ve tried and failed with productivity hacks.
  • You want a simpler method for prioritizing the important parts of life.
  • You feel overwhelmed with to do lists.

3/31/2019

The Signal and the Noise by Nate Silver

Nate Silver is a household name in data science, and The Signal and the Noise is a well-known work. Even if you aren’t that interested in data science, it’s still a good read to understand what we (the royal we) do and don’t understand about hot topics like climate change and politics, as well as “cooler” topics like earthquakes. I recommend it for the following reasons.

  • It approaches the subject of data science from the standpoint of — here are a few things we are good at predicting and why and here are a few things we are bad at predicting and why. It’s good grounding for aspiring data scientists.
  • Like Stephen Hawking, he’s great at discussing inflammatory topics, like politics and climate change, in a non-inflamatory, scientific way.
  • It’s a surprisingly easy read. The book is long, but I knocked out most of it over a long layover in the Santiago, Chile airport.

3/31/2019

Brief Answers to the Big Questions by Stephen Hawking

You might be wondering why I added a “non-analytics” book to my book recommendations. I added this book because it focuses on asking and subsequently answering big (really big) questions like – Is there a God? And, asking and answering questions is precisely what analytics is about. I loved this book for the following reasons.

  • Stephen Hawking was one of the greatest minds of the modern “information age”. This book explains the manner in which he thinks through complex problems and questions using logic, reason, and science.
  • He discusses very controversial questions in a calm, rational, and peaceful manner, which is quite honestly a nice change from what modern discourse on hot topics has become.
  • He still has faith in the human race and our ability to overcome major problems. As a “recovering pessimist”, I appreciate his optimism.

03/21/2019

Data Science for Business: What You Need to Know About Data Mining and Analytic Thinking by Foster Provost & Tom Fawcet

Datat Science for Business

Provost and Fawcett published this book in 2013, so it’s been around for a while. I read it as part of my masters program and recommend it for the following reasons.

  • It’s the easiest data science read you’ll ever find.
  • Rather than focusing on model building, statistics or technical capabilities, it dives into the softer side of data science — asking and shaping the right questions — which is critical to successful data science.
  • This book should be the start of your data science learning journey.