Data is everywhere. It’s in the can of Coca-Cola you bought this morning from the grocery store on the corner. It’s in the map you use when finding a place to eat. It’s even in the photo of the breakfast you sent to your friend this morning. Data and the decisions that we derive from that data is ingrained in every aspect of our lives. And what better way to broaden our knowledge about the data around us than by reading books!
At Premise, we have a fantastic team of data scientists, QA and operation specialists who ensure that our data is the highest quality. Meet five members of our team and the books that they recommend to learn more about data:
Sharon Bertsch McGrayne discusses the Bayes’ Theorem, which describes using prior knowledge of conditions to describe the probability of an event occurring. She writes about how it was discovered, the history behind the use of the theorem including the cracking of the enigma machine during World War II, and how it has evolved with technology.
“The Theory That Would Not Die is a fantastic and accessible introduction to one of the most important ideas that shapes our daily lives without most of us knowing. The book carries the reader through historical controversy and eventual victory of an idea that today basically defines the way in which we apply data to better understand the world around us and make the best decisions given the information we have at hand. At Premise, Bayes Theorem implicitly underpins much of our workin areas like automated fraud prevention, data quality controls and the data products we build.” (Tim Schwuchow – Senior Data Scientist)
Hans Rosling discusses the ten instincts that distort our perspective when answering questions about global trends. These unconscious and predictable biases lead us to think that the world is in a worse state than it actually is.
(Mary Grace Reich -Growth Specialist)
The Visual Display of Quantitative Information by Edward R. Tufte
Edward Tufte’s first book revolutionized information design and visual literacy. This second edition provides clear and powerful visual explanations that preserve the rigor of statistics while laying their insights bare. This classic text looks at the greatest visualizations throughout history and draws lessons on how to we can all be clear and effective communicators.
“Portraying the complexity of the world clearly is an enduring challenge. This book is filled with the most compelling and important visualizations in history; be they the hand written notes of Galileo; or the map which solved the mystery of cholera. It reminds me that the difference between changing the world with your insights, or failing to, is a matter of design.” (Ryan Muldoon- Growth Specialist)
How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg
Jordan Ellenberg discusses how math should not be looked at as a set of rules that describe incidents that never happen in real life but should be viewed as a vital part of our everyday lives.
(Annalie Kruseman -Data Scientist)
Superforecasting: The Art and Science of Prediction by Philip E. Tetlock and Dan Gardner
Tetlock and Gardner discuss how to predict the future using evidence. They describe famous predictions that turned out to be failures and the ones that were major successes.
“Wading through massive amounts of data can often be overwhelming, making it hard to see the light at the end of the tunnel. This book illustrates how data can be used in a way to forecast the future, proving that there is a payout if we hold true to remaining data-minded.” (Ed Borenstein -Growth Specialist)
Hope you enjoy these suggestions from our awesome and well-read team. The next time that you are curious about the information you can derive from that can of Coca-Cola or the picture of your breakfast, start reading!