Data Science Resources

Published: 09 Oct 2015 Category: data_science


Data Science at the Command Line

Data Science Challenges

Foundations of Data Science


Intelligent Data Analysis

Scaling Data Science in Python Tutorial

HackerMath: Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker’s Way

Python Data Science Tutorials: common data analysis and machine learning tasks using python

Getting Started with Data Science @ MSU Data Science

Helping our new Data Scientists start in Python: A guide to learning by doing


General Assembly’s Data Science course in Washington, DC

140.711/2 Advanced Data Science I/II

Data Science From data to knowledge (September 12 to 14, 2016)

Harvard CS109 Data Science

Coursera: How to Win a Data Science Competition: Learn from Top Kagglers


Provision the Linux Data Science Virtual Machine

Deep Learning tools for the Data Science Virtual Machine

Scrape Tools


Portia: Visual scraping for Scrapy

Scrapely: A pure-python HTML screen-scraping library

  • intro: Scrapely is a library for extracting structured data from HTML pages. Given some example web pages and the data to be extracted, scrapely constructs a parser for all similar pages.
  • github:


Comprehensive learning path – Data Science in Python

Top Data Scientists to Follow & Best Data Science Tutorials on GitHub

Non-Mathematical Feature Engineering techniques for Data Science

Learning Path To Become Data Scientist – Step by Step Guide

Data Science Basics: An Introduction to Ensemble Learners


Awesome Data Engineering: A curated list of data engineering tools for software developers

Data science blogs

data-science-practice-handbook: Awesome and Complete Practice Handbook For Data Science

If you want to learn Data Science, start with one of these programming classes

Data Science, Machine Learning, and Artificial Intelligence Resources

Data Science and Robots

Data Sources for Cool Data Science Projects