Data Science Resources

Books

Data Science at the Command Line

http://datascienceatthecommandline.com/

Data Science Challenges

http://inverseprobability.com/2016/07/01/data-science-challenges

Foundations of Data Science

• intro: John Hopcroft and Ravindran Kannan
• book: https://www.cs.cornell.edu/jeh/book2016June9.pdf

Tutorials

Intelligent Data Analysis

• slides: http://www.borgelt.net/slides/ida.pdf

Scaling Data Science in Python Tutorial

• github: https://github.com/chdoig/dss-scaling-tutorial
• slides: https://speakerdeck.com/chdoig/scaling-ds-in-python

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

• intro: This is the repository for the full day workshop conducted at Fifth Elephant 2016 (https://fifthelephant.in/2016/)
• github: https://github.com/amitkaps/hackermath

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

• github: https://github.com/ujjwalkarn/DataSciencePython

Getting Started with Data Science @ MSU Data Science

• slides: https://speakerdeck.com/rasbt/getting-started-with-data-science-at-msu-data-science

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

• blog: https://www.themarketingtechnologist.co/helping-our-new-data-scientists-start-in-python-a-guide-to-learning-by-doing/

Courses

General Assembly’s Data Science course in Washington, DC

• course page: https://generalassemb.ly/education/data-science/washington-dc/
• github: https://github.com/justmarkham/DAT8

140.711/2 Advanced Data Science I/II

• homepage: http://jtleek.com/advdatasci/

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

http://data-science-ce-course.tk/

Harvard CS109 Data Science

• homepage: http://cs109.github.io/2015/
• class material: http://cs109.github.io/2015/pages/videos.html
• github: https://github.com/cs109/2015

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

https://www.coursera.org/learn/competitive-data-science

Tools

Provision the Linux Data Science Virtual Machine

• blog: https://azure.microsoft.com/en-gb/documentation/articles/machine-learning-data-science-linux-dsvm-intro/
• github: https://github.com/Azure/azure-content/blob/master/articles/machine-learning/machine-learning-data-science-linux-dsvm-intro.md

Deep Learning tools for the Data Science Virtual Machine

• github: https://github.com/Microsoft/deep_learning_tools_for_dsvm

Scrape Tools

Portia

Portia: Visual scraping for Scrapy

• intro: Portia is a tool that allows you to visually scrape websites without any programming knowledge required
• homepage: http://scrapinghub.com/portia/
• github: https://github.com/scrapinghub/portia/

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: https://github.com/scrapy/scrapely

Blogs

Comprehensive learning path – Data Science in Python http://www.analyticsvidhya.com/learning-paths-data-science-business-analytics-business-intelligence-big-data/learning-path-data-science-python/

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

http://www.analyticsvidhya.com/blog/2015/07/github-special-data-scientists-to-follow-best-tutorials/

Non-Mathematical Feature Engineering techniques for Data Science

https://codesachin.wordpress.com/2016/06/25/non-mathematical-feature-engineering-techniques-for-data-science/

Learning Path To Become Data Scientist – Step by Step Guide

http://www.bigdataanalyticsguide.com/2016/07/09/learning-path-become-data-scientist-step-step-guide/

Data Science Basics: An Introduction to Ensemble Learners

• intro: Beginners, Boosting, Data Science, Ensemble methods
• blog: http://www.kdnuggets.com/2016/11/data-science-basics-intro-ensemble-learners.html

Resources

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

• github: https://github.com/igorbarinov/awesome-data-engineering

Data science blogs

• github: https://github.com/rushter/data-science-blogs

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

• github: https://github.com/wxyyxc1992/datascience-practice-handbook

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

• blog: https://medium.freecodecamp.com/if-you-want-to-learn-data-science-start-with-one-of-these-programming-classes-fb694ffe780c#.quj2gi3f9

Data Science, Machine Learning, and Artificial Intelligence Resources

• github: https://github.com/acastrounis/data-science-machine-learning-ai-resources

Data Science and Robots

http://brohrer.github.io/blog.html

Data Sources for Cool Data Science Projects

• part 1: http://blog.thedataincubator.com/2014/10/data-sources-for-cool-data-science-projects-part-1/
• part 2: http://blog.thedataincubator.com/2014/10/data-sources-for-cool-data-science-projects-part-2/
• part 3: http://blog.thedataincubator.com/2016/10/data-sources-for-cool-data-science-projects-part-3/
• part 4: http://blog.thedataincubator.com/2016/10/data-sources-for-cool-data-science-projects-part-4/