Feed Your Creativity

Inspiration in Your Inbox !
BLOGS: Popular The Captain's Blog Discover Data Discover Stats Discover Visualisation

RESOURCES: Popular eBooks Videos eCourses Exclusive **NEW**

Free Data Science eBooks - May 2018

If you're into R or Python, this months FREE eBooks should really hit the spot. They're really proving to be very popular.

On the other hand, maybe you're already an accomplished Data Science programmer and you're looking to improve your mathematics skills. If so, how about a book about differential equations? We've got one of those too!

I hope the 3 free books in this blog post prove to be a valuable resource to you and that you will visit regularly (and share with your friends in social media 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 May

Free Data Science eBooks - May 2018 Free Data Science eBooks - May 2018

 

This month we highlight 3 books:

  • R Programming for Data Science
  • Dive into Python 3
  • Elementary Differential Equations

They're all FREE, so help yourselves...

Enjoy!

 

Disclosure: the three books highlighted here do not have affiliate links.
However, links to other resources on this page 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

 

R Programming for Data Science

by Roger D. Peng

R Programming for Data Science This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science.

 

Related Udemy Video Courses

If you're interested in learning more about how to program in R for Data Science, check out the following video courses. Just click through for more details. If you need more details, you can find them in the blog post How to go from Newbie to R Programming Ninja, where each of these courses has been reviewed.

Note: the links to these courses are affiliate links.


 

Dive into Python 3

by Mark Pilgrim

Dive into Python 3 Dive Into Python 3 is a hands-on guide to Python 3 and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.

This book includes:

  • Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more
  • A detailed case study of porting a major library from Python 2 to Python 3
  • A comprehensive appendix of all the syntactic and semantic changes in Python 3


This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.

 

Related Udemy Video Courses

If you're interested in learning more about programming in Python, check out the following video courses. Just click through for more details. If you need more details, you can find them in the blog post The Easy Way to Learn Python for Data Science, where each of these courses has been reviewed.

Note: the links to these courses are affiliate links.

 

Enjoying this blog post? Share it with the world...

 

Elementary Differential Equations

by William Trench

Elementary Differential Equations This text has been written in clear and accurate language that students can read and comprehend.

The author has minimized the number of explicitly state theorems and definitions, in favour of dealing with concepts in a more conversational manner. This is illustrated by over 250 worked out examples. The problems are extremely high quality and are regarded as one of the text's many strengths.

This book also allows the instructor to select the level of technology desired. Trench has simplified this by using the symbols C and L. C exercises call for computation and/or graphics, and L exercises are laboratory exercises that require extensive use of technology.

Several sections include informal advice on the use of technology. The instructor who prefers not to emphasize technology can ignore these exercises.

 

Related Udemy Video Courses

If you're interested in learning more about differential calculus, check out the following video courses.

Note: the links to these courses are affiliate links.


 

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

 

Blog Posts

 

 

 

Books



 

Videos & Video Courses

 

 

 

Software

DataKleenr - Translates the Data You Have into the Data You Need

DataKleenr - all your data cleaned in minutes, not months
DataKleenr cleans and classifies your data - including outliers - as it is being uploaded. A few moments later, your data is analysis-ready!
DataKleenr is fast, simple and accurate, leaving you the time you need to do the really important parts of your job.

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

 


 

blog comments powered by Disqus