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

A NumPy tutorial for beginners in which you'll learn how to create a NumPy array, use broadcasting, access values, manipulate arrays, and …

Learn how to scrape data from the web, preprocess it and perform a basic exploratory data analysis with R

Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.

An easy-to-follow scikit-learn tutorial that will help you to get started with the Python machine learning.

A list of Python resources for the eight statistics topics that you need to know to excel in data science

This tutorial explains how to install, run, and use Jupyter Notebooks for data science, including tips, best practices, and examples.

A Pandas tutorial that covers the top 11 questions that users have about DataFrames in Python

Start your data science journey now and follow these 8 steps to learn data science.

This handy one-page reference presents the Python basics that you need to do data science