3 books on data science for business

Data science is on the rise in the market, and here at Indicium we know the importance of theoretical studies for excellent practice.

With this in mind, we selected 3 fundamental books for beginners and curious people who want to learn a little more and apply data science in business .

Check out!

1) Analytical competition: winning through new science

Autores: Thomas H. Davenport, Jeanne Harris

If you still have doubts that data science brings benefits to business, you need to read this book.

Analytical Competition is a complete manual, filled with cases, processes and real applications on the use of data in business. It demonstrates how companies can apply data science principles to become increasingly competitive.

The authors address the five stages of analytical competition, providing practical examples of typical behaviors, capabilities and challenges of each stage.

Even though it is a more technical reading, it is recommended for professionals from companies that are in or want to reach any of the stages of the data driven journey .

2) Data Science for Business

Authors: Tom Fawcett and Foster Provot

This book provides important fundamentals on the application of data science in organizations, such as specific processes, strategies and technologies.

It is recommended reading for anyone, whether a participant in the decision-making process or management professionals, who wants to delve deeper into the subject to develop their analytical thinking.

3) The signal and the noise: why so many predictions fail (and others don't)

Autor: Nate Silver

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Signal and Noise, a New York Times bestseller, addresses the application of big data analysis to make predictions about the future in several areas. It is without a doubt one of the great books on data science today .

The author of the book, Nate Silver, is a renowned statistician who provides several real-life examples of the application of big data in the field of data prediction .

Additionally, he analyzes several success and failure cases to demonstrate the similarities shared among the world's best forecasters.

The book demonstrates the importance of filtering the noise and focusing on the correct information to guarantee predictions with high levels of assertiveness .

Reading is recommended for management professionals, management and any participants in the decision-making process who seek to improve their notions of predictive analysis , both in theory and in practice.

These are the three books we selected for you to learn more about applying data intelligence in business . They are intelligent and tangible content that can help you understand more about the data revolution and improve results in your company .

Enjoy the readings!

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