Best books for business analytics
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How Smart Machines Think - Sean Gerrish, Kevin Scott, 2018įascinated by self-driving cars and computers that can beat humans at chess? Want to know how Netflix figures out what you want to watch with such a high level of accuracy? Look no further. This book should help any budding data analyst appreciate the importance of data, while understanding that data analytics goes hand-in-hand with critical thinking skills.
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Irreverent and clear in his explanations, Mlodinow illuminates some of the more complex aspects of probability and statistics, using language that anyone can understand. While this might not initially seem that relevant to the field of data analytics, the book explores how our reliance on statistics for everything-from political polls to student grades and financial markets-is not as infallible as it seems. physicist Leonard Mlodinow (who, for the record, was a close friend of the late, great Stephen Hawking) tackles the issue of randomness, chance, and probability in our daily lives. Perhaps the most important skill for any data analyst is the ability to think critically and overcome one’s biases and expectations. Highly recommended! The Drunkard’s Walk: How Randomness Rules Our Lives - Leonard Mlodinow, 2008 Think the destruction of democracy! A well-rounded introduction to our data-driven world, this book is a funny and fascinating love letter to data and is suitable for those who are completely new to the field. But Fry doesn’t shy away from exploring areas where our blind faith in algorithms can potentially lead to dystopian horrors. She doesn’t hold back on examples-for instance, they have the potential to improve our justice system and advance our healthcare. With wit and precision, Fry looks at how data and algorithms have the power to transform our world for the better.
BEST BOOKS FOR BUSINESS ANALYTICS HOW TO
For beginners: Broad introductions to data Hello World: How to be Human in the Age of Algorithms - Hannah Fry, 2018Īmid the hype and potential horrors of sentient machines wiping out humanity, British mathematician Hannah Fry takes readers on a balanced but unflinching tour of the pros and cons of our ever-more algorithm-driven society. Applications: Data analytics in businessįrom the broad-ranging to the nitty-gritty, here are 12 books for aspiring data analysts: 1.Upskilling: Getting to grips with statistics.Expressing insights: Data visualization.Getting started: Broad introductions to data.
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We’ve grouped these into the following sections, and have deliberately chosen data books we think complement each other well, but you can decide! In this post, we list a careful selection of our favorite books for data enthusiasts. What better way to take a screen break than by curling up with a good book? If the latest fiction best seller isn’t your thing, why not check out a tome that will help you get to grips with a new aspect of data analytics? Even the most tech-savvy data analysts (or aspiring data analysts) can benefit from a digital detox at times.