Free Data Science eBooks - September 2017
Now that the summer holidays are out of the way it's time to bring you some free resources to help you get Back To School, so here are three free eBooks to help you on your educational journey.
I hope these books prove to be a valuable resource to you and that you will visit regularly (and invite your friends too).
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This month, we have D3 Tips and Tricks v4.x, Conversations On Data Science and A First Course in Design and Analysis of Experiments. They're all FREE, so help yourselves.
by Malcolm MacLean
D3.js can help you make data beautiful.
Data is the new medium of choice for telling a story or presenting compelling information on the Internet and d3.js is an extraordinary framework for presentation of data on a web page.
This book is not for experts. It's put together as a guide to get you started if you're unsure what d3.js can do. It reads more like a story as it leads the reader through the basics of line graphs and on to discover animation, tooltips, tables, interfacing with MySQL databases via PHP, Sankey diagrams, force diagrams, maps and more...
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by Roger D. Peng and Hilary Parker
What is life like as a data scientist? In academia? In industry? What is the role of automation in data science? What is evidence-based data analysis? And what is RCatLadies?
These questions, and more, are discussed in Conversations on Data Science by Roger Peng and Hilary Parker, co-hosts of the popular Not So Standard Deviations podcast. This book collects many of their discussions from the podcast and distills them into a readable format. The conversational style of Roger and Hilary gives readers a behind-the-scenes look into how data science is done in real life. As new episodes of the podcast are created, this book is updated to add new topics of discussion. Readers of the book are entitled to free updates in the future as the book evolves.
Versions are available in PDF, ePub, and MOBI, and the book can be read through the Leanpub App.
by Gary W Oehlert
This text, for students needing to prepare and analyze experimental data, gives a balanced presentation of the design and analysis of experiments, teaching students when to use various designs, how to analyze the results, and how to recognize design options. The book is also fully oriented towards the use of statistical software in analyzing experiments, and the companion web site offers data sets for most of the exercises in the text.
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
Videos & Video Courses
4 hour Udemy Video Course delivered with animated videos. Perfect for beginners and will help get you started with basic statistical concepts
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!
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 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...
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