The new, completed version of this Data Science Cheat Sheet can be found here.
We are now at 20, up from 17. I hope I find the time to write a one-page survival guide for UNIX, Python and Perl. Here's one for R. The links to core data science concepts are below - I need to add links to web crawling, attribution modeling and API design. Relevancy engines are discussed in some of the tutorials listed below. And that will complete my 10-page cheat sheet for data science.
Here's the list:
Other Cheat Sheets
Vincent's Cheat Sheets for Perl, R, Excel (includes Linest, Vlookup), Linux, cron jobs, gzip, ftp, putty, regular expressions, Cygwin, pipe operators, files management, dashboard design etc. coming soon
Cheat Sheets for Python
Cheat Sheets for R
Cross Reference between R, Python (and Matlab)
Cheat Sheets for SQL
Additional
Related link: The Data Science Toolkit
Other interesting links
Comment
You can add our java Cheat Sheet in the list of your tutorials, which is helping to all the developer nowadays, through this cheat sheet people can learn Java Cheat or can revise with this quick reference.
Broken link on SQL and hive
hortonworks.com/wp-content/uploads/downloads/2013/08/Hortonworks.Ch...
Broken link - clicked on "Here's one for R."
Our apologies – this page was not found
Can we get an updated link there?
Thank you for the great resources that help researchers in their projects.
I recommend this website to learn how to program in java:
http://how-to-program-in-java.com/
It was really helpful for me.
Vince, this is great for aspiring data scientists! I think it is a great resource! Something else I have found beneficial that lets me focus on my data rather than spinning up the analytic stacks is a tool called Stackspace. Its in beta, but has save me a ton of time!
cool. Thanks.
Awsome collection. Thanks Vincent.
Thanks for sharing this!
Absolutely great resource. l find this helpful!
Thanks Vincent.This is very informative
Posted 12 April 2021
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