data-must-watch
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kmonsoor
Must-watch videos on data-science
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)
- 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)
Machine Learning
- 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
Statistical Methods
- Chris Fonnesbeck: Statistical Thinking for Data Science (SciPy 2015)
- Video: youtube [23:49]
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)
- Video: youtube [1:22:26]
- Slides: presentation
HDFS
-
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]
Spark
- Presenter-name: Title of the video (Event, Year)
- Video: [video link] [length-of-video]
- Slides: [slide link]
- Misc resources
Python-based analysis
- 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 )
- Andreas Mueller & Kyle Kastner: Machine Learning with Scikit Learn (SciPy 2015 Tutorial)
- Video: Part I, Part II
- Tutorial Materials
R-based analysis
- 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.
Uncategorized
- Presenter-name: Title of the video (Event, Year)
- Video: [video link] [length-of-video]
- Slides: [slide link]
- comments
kmonsoor