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@justmarkham
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My pull request is for an additional link to the Getting and Cleaning Data page. I created a 40-minute video tutorial (and a related R Markdown document) that teaches the fundamentals of the dplyr package in R.

As for the questions:

  1. Does my contribution teach? Yes, I actually taught this exact material to a real-life data science class.
  2. Does the content of my contribution clearly address topics in the Data Science Specialization? Yes, dplyr is directly relevant for week 3 of Getting and Cleaning Data.
  3. Could my contribution be seamlessly integrated into the canonical course materials? Yes, you could teach almost all of week 3 using dplyr instead of using plyr and base R. And in fact, I bet the instructor would have used dplyr for week 3 had it existed at the time the videos were recorded! (dplyr was launched in January 2014).

Thanks! I'm happy to answer any questions and/or revise the text if desired.

@seankross
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Thanks @justmarkham !

seankross added a commit that referenced this pull request Aug 27, 2014
add dplyr tutorial to Getting and Cleaning Data
@seankross seankross merged commit ce11a6f into DataScienceSpecialization:master Aug 27, 2014
@justmarkham justmarkham deleted the dplyr branch August 27, 2014 16:38
Juanan4290 pushed a commit to Juanan4290/DataScienceSpecialization-Comunity that referenced this pull request Oct 11, 2017
Juanan4290 pushed a commit to Juanan4290/DataScienceSpecialization-Comunity that referenced this pull request Oct 11, 2017
…ster

Fix a couple of typos in regression models residual variation slides
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2 participants