updated to match teachers

Author: kirstenfrank

curated.md

@@ -7,10 +7,22 @@ permalink: /curated/
 ## Analytics
 
 - [OLAP Operation in R](http://architects.dzone.com/articles/olap-operation-r)
-- [Journal of Statical Software: Tidy data](http://www.jstatsoft.org/v59/i10/paper)
+- [Journal of Statistical Software: Tidy data](http://www.jstatsoft.org/v59/i10/paper)
 
+### Command Line
+
+- [explainshell.com - match command-line arguments to their help text](http://explainshell.com/)
+- [The Command Line Crash Course - Quick course in using the command line](http://cli.learncodethehardway.org/book/)
 
 ### GitHub
 
+- [Official Git Tutorial](http://git-scm.com/docs/gittutorial)
 - [Git - Simple Guide](http://rogerdudler.github.io/git-guide/)
+- [Git Immersion - A guided tour through the fundamentals of Git](http://gitimmersion.com/)
 - [GitHub - Dealing with Multiple Accounts](http://hmkcode.com/git-tutorial/how-to-deal-with-multiple-github-accounts-on-one-computer/)
+
+
+## Further Reading
+
+- [Linkedin - Top 10 Big Data and Analytics References](https://www.linkedin.com/pulse/article/20140810194033-111366377-top-10-big-data-and-analytics-references)
+- [Linkedin - Let's Get Nerdy: Data Analtyics for Business Leaders Explained](https://www.linkedin.com/pulse/article/20140918162814-111366377-let-s-get-nerdy-data-analytics-for-business-leaders-explained)

getclean.md

@@ -8,5 +8,10 @@ permalink: /getclean/
 - [Apples to Oranges Data Organisation Challenge](https://github.com/thoughtfulbloke/faoexample)
 - [dplyr Video Tutorial](https://www.youtube.com/watch?v=jWjqLW-u3hc) and [R Markdown document](http://rpubs.com/justmarkham/dplyr-tutorial): An [update](http://blog.rstudio.org/2014/01/17/introducing-dplyr/) to the plyr package, useful for subsetting, sorting, summarizing, and merging data using a more intuitive syntax than plyr or base R.
 - [Downloading files general advice](http://rpubs.com/thoughtfulbloke/downloadtips)
+<<<<<<< HEAD
 - [Codebook sample](https://gist.github.com/kirstenfrank/218c36a1938055d0f4e4)
 - [Second Codebook sample](https://gist.github.com/kirstenfrank/699abe3e16fd1dc36e5d)
+=======
+- [Query string (and other fields-within-fields) unrolling](http://rpubs.com/schnee/32988)
+
+>>>>>>> 89a253d761447641cb7a05338057d73a26a5959d

other.md

@@ -12,3 +12,10 @@ permalink: /other/
 
 ## Troubleshooting
 - [Windows batch file to work around RStudio startup issues](https://github.com/stepds/contrib-DataScienceSpecialization/blob/master/README.md)
+
+## Pre-built virtual machines for R development.
+- [Here's a pre-built lightweight Linux machine with R and Rstudio already installed](https://github.com/queirozfcom/r-box). You just need to install [vagrant](https://www.vagrantup.com/downloads.html), download (or clone) the github repository and you'll get a clean ubuntu machine with the tools you'll need for the assignments. 
+
+- [Data Science Appliance](http://datascienceappliance.com/) - A perfectly provisioned virtual machine for data scientists.
+
+- [Data Science Toolbox](http://datasciencetoolbox.org/) - A virtual environment that allows you to start doing data science in a matter of minutes.