Free Data Science eBooks – November 2016

Our regular newsletter subscribers know that every month we scour the internet seeking out free eBooks to help you on your educational journey. Well, it has been so popular that rather than just send the links in the newsletters we decided to create a resources section here on the website.

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

More...

3 free data science books for beginners

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This month, we have a couple of Data Science eBooks and one about programming in Python. They're all FREE, so there's no excuse not to get stuck in and improve your employability index...

Enjoy!

Disclosure: The FREE ebooks are free to download but other links in this post may contain affiliate links. As Amazon Associates we may earn from qualifying purchases.

​​You can find further details in our TCs

Introduction to Data Science

In this Introduction to Data Science eBook, a series of data problems of increasing complexity is used to illustrate the skills and capabilities needed by data scientists.

The open source data analysis program known as "R" and its graphical user interface companion "R-Studio" are used to work with real data examples to illustrate both the challenges of data science and some of the techniques used to address those challenges.

To the greatest extent possible, real datasets reflecting important contemporary issues are used as the basis of the discussions.

Numsense!

by Annalyn Ng and Kenneth Soo

Numsense - Data Science Tutorials for the Layman

Numsense! is lovingly put together by two data science enthusiasts, Annalyn Ng (University of Cambridge) and Kenneth Soo (Stanford University), who wrote:

"We noticed that while data science is increasingly used to improve workplace decisions, many people know little about the field. Hence, we wrote these tutorials so that everyone and anyone can learn - be it an aspiring student or enterprising business professional".

Each tutorial covers the important functions and assumptions of a data science technique, without any maths or jargon. The book also illustrates these techniques with real-world data and examples.

Did you know that you can get Data Science audiobooks for FREE with an Audible Trial? Check them out!

Learn Python the Hard Way

In Learn Python the Hard Way, Third Edition, you'll learn Python by working through 52 brilliantly crafted exercises.

Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run.

As you do, you'll learn how software works; what good programs look like; how to read, write, and think about code; and how to find and fix your mistakes using tricks professional programmers use.

Most importantly, you'll learn how to install a complete Python environment, organise and write code, basic coding constructs, game development and more.

3 Free Data Science Ebooks for beginners #datascience #freeebooks
Lee Baker
administrator
Lee Baker is an award-winning software creator that lives behind a keyboard in a darkened room. Illuminated only by the light from his monitor, he aspires to finding the light switch. With decades of experience in science, statistics and artificial intelligence, he has a passion for telling stories with data, yet despite explaining it a dozen times, his mother still doesn’t understand what he does for a living. Insisting that data analysis is much simpler than we think it is, he creates friendly, easy-to-understand video courses that teach the fundamentals of data analysis and statistics. As the CEO of Chi-Squared Innovations, one day he’d like to retire to do something simpler, like crocodile wrestling.
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