Top Data books recommended by experts

At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite Data books – and here are the answers.

Table of Contents

Fundamentals of Data

Understanding the concepts of Data starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

Data Science for BusinesS

Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also disc…

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Storytelling with Data: A Data Visualization Guide for Business Professionals

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. ...

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Lean Analytics: Use Data to Build a Better Startup Faster

If you’re involved with a startup, analytics help you find your way to the right product and market before the money runs out. But with a flood of information available, where do you start? ...

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Weapons of Math Destruction

Weapons of Math Destruction is a 2016 American book about the societal impact of algorithms, written by Cathy O'Neil. It explores how some big data algorithms are increasingly used in ways that reinforce preexisting inequality.

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Naked Statistics: Stripping the Dread from the Data

The best-selling author of Naked Economics defies the odds with a book about statistics that you’ll welcome and enjoy. Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called “sexy.” ...

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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated.

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Additional Data Reading

These books are not required for you to learn Data, but they are highly recommended for you to deepen your knowledge.

Big Data: A Revolution That Will Transform How We Live, Work, and Think

A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large.Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? ...

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Too Big to Ignore: The Business Case for Big Data

Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. ...

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Python for Everybody: Exploring Data Using Python 3

Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. …

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The Signal and the Noise

The Signal and the Noise: Why So Many Predictions Fail – but Some Don't is a 2012 book by Nate Silver detailing the art of using probability and statistics as applied to real-world circumstances.

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The Art of Statistics: How to Learn from Data

A statistical national treasure' Jeremy Vine, BBC Radio 2'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular ScienceDo busier hospitals have higher survival rates? How many trees are there on the planet? ...

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Python for Data Analysis

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. ...

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This list is curated by MentorCruise and can include Amazon affiliate links. Have any other suggestions? Add here.

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