Must-watch videos on data-science
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README.md

Must-watch videos on Data Science

This list tries to cover from basic introductory staffs to deep analytical staffs on industry-renowned tools.

Inspired by py-must-watch.

Contribution

Please create pull requests to suggest more awesome video links. However, please don't add too many in a single pull-request. :) Please add your name in the file contributors.md file, if possible, in the same pull-request you make to add new video in the main list.

Thanks !


Intro into Data-science

  • DJ Patil: Data Science, how to be data driven and build great products (BBVA Innovation Center, 2014)

    • Video: youtube [1:22:37]
    • Comments: A great intro. Potrays Spock(Star Trek) as ship's data scientist.
  • Micheael Manoochehri: Data Just Right: A Practical Introduction to Data Science Skills (DataEDGE 2013)

  • Ryan Orban: How To Become A Data Scientist (SF Data Science)

    • Video: youtube [59:07]
    • Slides: slideshare
    • Comments: Audio is a bit hazy with background noise
  • Buck Woody: Becoming a Data Professional: Taking It To The Next Level (The DRIVE/conference 2013)

Machine Learning

Statistical Methods

  • Chris Fonnesbeck: Statistical Thinking for Data Science (SciPy 2015)

Algorithms

  • Presenter-name: Title of the video (Event, Year)
    • Video: [video link] [length-of-video]
    • Slides: [slide link]
    • Misc resources

Mathematics

  • Presenter-name: Title of the video (Event, Year)
    • Video: [video link] [length-of-video]
    • Slides: [slide link]
    • Misc resources

Intro on Hadoop Ecosystem

  • Bill Graham: Intro to Hadoop (Part of BerkeleyiSchool course Info290:"Analyzing Big Data With Twitter", 2012)

HDFS

Spark

  • Presenter-name: Title of the video (Event, Year)
    • Video: [video link] [length-of-video]
    • Slides: [slide link]
    • Misc resources

Python-based analysis

R-based analysis

Uncategorized

  • Presenter-name: Title of the video (Event, Year)
    • Video: [video link] [length-of-video]
    • Slides: [slide link]
    • comments