Feed Your Creativity

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

RESOURCES: Popular eBooks Videos eCourses

Free Data Science eBooks - May 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 May

 

This month, we have a book about Data Scientists and the work that they do, one about probability and statistical modelling and one about machine learning. They're all FREE, so what are you waiting for...

 

Enjoy!

 


 

Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work

by Harlan Harris, Sean Murphy and Marck Vaisman

Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help.

In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers.

The results are striking.

 

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

 

From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science

by Norm Matloff

The materials here form a textbook for a course in mathematical probability and statistics for computer science students.

Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security; remote sensing; computer performance evaluation; software engineering; data management; etc..

The R statistical/data manipulation language is used throughout. Since this is a computer science audience, a greater sophistication in programming can be assumed. It is recommended that the R tutorial, R for Programmers, be used as a supplement.

Throughout the units, mathematical theory and applications are interwoven, with a strong emphasis on modelling.

 

 

A Course in Machine Learning

by Hal Daumé III

CIML is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.).

Its focus is on broad applications with a rigorous backbone. A subset can be used for an undergraduate course; a graduate course could probably cover the entire material and then some.

 


 

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

 

 

 

Books

Practical Data Cleaning - 19 Essential Tips to Scrub Your Dirty Data

Practical Data Cleaning - 19 Essential Tips to Scrub Your Dirty Data
It's always difficult knowing where to start, but especially so when it comes to Data Science. No need to fret, though - we've selected our top 21 books that all aspiring data scientists should read.
These will get you going in no time...


Correlation and Causation - The Trouble With Story Telling

Correlation and Causation - The Trouble With Story Telling
How many times have you heard that ‘correlation does not imply causation’? Lots, but I bet you didn't know that there are five reasons why you should not trust your intuition. This book gives you the tools to discover the five traps that even experienced investigators fall into.


 

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

 

Software

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