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Study Group for the Coursera MOOC: Computing for Data Analysis (Part 1)

POSTED IN: Data Analytics & Visualization Blog

Several of the LinkedIN Group have been recommending the Coursera MOOC put out by Johns Hopkins  https://www.coursera.org/course/compdata 

So I just signed up for Coursera, and this MOOC course (it’s totally free, and videos available instantly) - screenshot of the lectures below. Looks very sharp.

If you’ve not installed R yet, and are still keen to, suggest you check out the 2 minute background on installation; Nice feature of the videos, is you can watch them at 1.25X or 1.5X speed (speed them up) 

I propose that we use this as a 'foundation' set of learning tools - and work our way through the MOOC together - like a study group.  

Thoughts?  Let us know here: Room for the curious


About the Course

"In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, creating informative data graphics, accessing R packages, creating R packages with documentation, writing R functions, debugging, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples."  (source:  Computing for Data Analysis - Coursera)

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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.

About this blog

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

Created: July 25, 2014


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