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

Inspired by py-must-watch.

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 !

• 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)

  • Video: youtube [1:24:50]
  • Slides: Google Docs
  • Comments: awesome intro

• 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)

  • Video: youtube [57:05]
  • Notes: MSDN Blog
  • Comments:

• Dr. Andrew Ng: CS 229: Machine Learning (Stanford Lecture series 2008)
  • Video: youtube (20 videos, 1+Hr each)
  • Lecture materials: Handouts, course-home
• Dr. Yaser S. Abu-Mostafa: Learning from Data (from Caltech)
  • Lecture materials: Handouts/Videos/Homeworks
  • Comments: A self-paced advanced course on Machine Learning
• Jake VanderPlas: Machine Learning with Scikit-Learn (I) (PyCon 2015)
  • Video: youtube[3:02:11]
  • Lecture materials: codes, IPython Notebook

• Chris Fonnesbeck: Statistical Thinking for Data Science (SciPy 2015)
  • Video: youtube [23:49]

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

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

• Bill Graham: Intro to Hadoop (Part of BerkeleyiSchool course Info290:"Analyzing Big Data With Twitter", 2012)
  • Video: youtube [1:22:26]
  • Slides: presentation

• Andrew Collette: HDF5 is Eating the World (SciPy 2015)

  • Video: (Youtube)[https://www.youtube.com/watch?v=nddj5OA8LJo] [18:30]
  • Slides:

• Quincey Koziol: Title of the video (2014)

  • Video: (Youtube)[https://www.youtube.com/watch?v=IN1bqxj4pxE] [1:17:09]
  • Slides: (mcs.anl.gov)[http://press3.mcs.anl.gov/computingschool/files/2014/01/QKHDF5-Intro-v2.pdf]

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

• Wes McKinney: My Data Journey with Python (SciPy 2015)
  • Video: youtube [47:45]
  • Slides: SlideShare
• Sarah Guido: Hands-on Data Analysis with Python (PyCon 2015)
  • Video: Youtube [2:54:57]
• Jonathan Rocher: Analyzing and Manipulating Data with Pandas (SciPy 2015 Tutorial )
  • Video: Youtube
  • Exercise and tutorial instructions
• Andreas Mueller & Kyle Kastner: Machine Learning with Scikit Learn (SciPy 2015 Tutorial)
  • Video: Part I, Part II
  • Tutorial Materials

• David Langer: Introduction to Data Science with R - Data Analysis (2014)
  • Video: [https://www.youtube.com/watch?v=32o0DnuRjfg&index=1&list=PLTJTBoU5HOCRrTs3cJK-PbHM39cwCU0PF] [1:21:49]
  • Source code: [https://github.com/EasyD/IntroToDataScience]
  • This is the first video of a two-part tutorial.

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