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Free Data Science eBooks - April 2017

Every month we scour the internet seeking out free eBooks to help you on your educational journey, and this month has been no different.

I hope these books prove to be a valuable resource to you and that you will visit regularly (and invite your friends too).

If you haven't subscribed to our newsletter yet, why not subscribe using the form on the right - you'll be the very first to know when new resources are published.


3 Free Data Science Books for April


This month, we have a book about Big Data, one about Data Science and one about Probability. They're all FREE, so go and fill your boots...





Disruptive Possibilities: How Big Data Changes Everything

by Jeffrey Needham

Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies.

Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them.

Replacing legacy silos – whether they’re infrastructure, organizational, or vendor silos – with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.


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Executive Data Science: A Guide to Training and Managing the Best Data Scientists

by Bryan Caffo, Robert D. Peng and Jeffrey Leek

In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before.

You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles.

You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout.

Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.



Introduction to Probability (American Mathematics Society non-series title)

by Charles M. Grinstead and J. Laurie Snell

This text is designed for an introductory probability course at the university level for undergraduates in mathematics, the physical and social sciences, engineering, and computer science.

It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject. The text is also recommended for use in discrete probability courses. The material is organized so that the discrete and continuous probability discussions are presented in a separate, but parallel, manner.

This organization does not over emphasize an overly rigorous or formal view of probability and therefore offers some strong pedagogical value. Hence, the discrete discussions can sometimes serve to motivate the more abstract continuous probability discussions.



Learn More


If you're interested in learning more about the content in this blog post we've sought out the best blogs, books, video courses and other stuff from around the internet for you. Some may be free while others may not, and to help you decide we use the following ratings:

- FREE content
- costs less than 10 £/$/Euro
- costs less than 50 £/$/Euro
- costs less than 100 £/$/Euro
- costs more than 100 £/$/Euro


Disclosure: some of these resources may be affiliate links, and we may earn an affiliate commission for purchases you make when using these links

You can find further details in our TCs


Blog Posts






Videos & Video Courses

Statistics for Data Science and Business Analysis

Statistics for Data Science and Business Analysis

4 hour Udemy Video Course delivered with animated videos. Perfect for beginners and will help get you started with basic statistical concepts

Statistics for Business Analytics A-Z

Statistics for Business Analytics A-Z

7 hour Udemy Video Course. Great for those needing a more business-oriented introduction to stats. Better still, the course even comes with homework. Yay!

Applied Statistical Modeling for Data Analysis in R

Applied Statistical Modeling for Data Analysis in R

9 hour Udemy Video Course. This is one of the top stats courses at Udemy and is a must-see for those that need to learn stats in R



CorrelViz - visualise all the correlations in your data in minutes

CorrelViz - visualise all the correlations in your data in minutes
CorrelViz is completely automated and gives you the Story of Your Data in minutes, with one click - saving you months of manual analysis and shed-loads of cash!
Analyse all your data, discover all the correlations you seek - and some you never even dreamed of...


Geeky Stuff



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