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Study Group for the Coursera MOOC: Computing for Data Analysis (Part 2) - Video Review

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POSTED IN: Data Analytics & Visualization Blog

 

As part of the Study Group for Coursera MOOC > Johns Hopkins University > Computing for Data Analysis  (it's a free course) - there are some GREAT VIDEOS available.  I'm working my way through a few of them so we can discuss together (which ones are worth while, for our goals)

Summary of Videos - Week 1

WELCOME > Background on Roger Peng (nice chap!  probably can skip) 
https://class.coursera.org/compdata-004/lecture/32  

What makes R Different  (Watch at 1.5 speed :)
Good for setting the stage / big picture.  
(I usually watch these at 1.5x speed)
https://class.coursera.org/compdata-004/lecture/88

How to get help (Probably Skip)
https://class.coursera.org/compdata-004/lecture/8
"google is your friend" - paste error message in google
if you've got a problem, read the documentation (or ask this group) - if you have a need - worth watching this to learn protocol for who/how to ask communities

Background & Overview  (11-14 minutes is worth watching - 0-8 minutes is history lesson if desired)
https://class.coursera.org/compdata-004/lecture/20
Nice little History lesson 0-8 minutes
11-14 minutes - good overview starts (worth a quick peek)

Data Types (Required Viewing :)
https://class.coursera.org/compdata-004/lecture/10
Starts the 'education'  the 'nitty gritty'

 

 

 

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About the Author

Ryan Anderson

Ryan Anderson

Hi! I like to play with data, analytics and hack around with robots and gadgets in my garage. Lately I've been learning about machine learning.

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Description is...<br/>Data Analytics & Visualization Blog - Generating insights from Data since 2013

Created: July 25, 2014

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