This Keras tutorial introduces you to deep learning in Python: learn o preprocess your data, model, evaluate and optimize neural networks.

This infograph compares the roles of data scientists, data analysts, data architects, data engineers and more in the data science industry.

The tutorial highlight what R functions are, user defined functions in R, scoping in R, making your own functions in R, and much more.

A tutorial on importing data into R. The focus is on reading data from sources like statistical software, databases, webscraping, and more.

There are different types of R plots, ranging from the basic graph types to complex types of graphs. Here we discover how to create these.

Comprehensive and easy R Data Import tutorial covering everything from importing simple text files to the more advanced SPSS and SAS files.

Wondering whether you should use R or Python for your next data analysis post? Check our infographic "Data Science Wars: R vs Python".

R Tutorial on Reading and Importing Excel Files into R. Understand how to read and import spreadsheet files using basic R and packages.

This small tutorial is meant to introduce you to the basics of machine learning in R: it will show you how to use R to work with KNN.

Short tutorial on scraping Javascript generated data with R using PhantomJS.