Microsoft R for Data Science

Training resources around Microsoft R for Data Science Course

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How to Use this Site

This site is intended to be the main resource to an instructor-led course, but anyone is welcome to learn here. The intent is to make this site self-guided and it is getting there.

We recommend cloning this repository onto your local computer with a git-based program (like GitHub desktop for Windows) or you may download the site contents as a zip file by going to "Clone or Download" at the upper right of this repository.

Course Outline

R Fundamentals

Data Manipulation with dplyr/dplyrXdf

Modeling and Scoring with Microsoft R

Intro to SQL Services + R

For Instructor-Led:

• We recommend dowloading the site contents or cloning it if you can do so to your local computer.
• Follow along with the classroom instructions and training sessions.
• When there is a lab indicated, you may find the lab instructions in the Labs folder.

For Self-Study:

• We recommend dowloading the site contents or cloning it if you can do so to your local computer.
• Go to Decks folder and follow along with the slides.
• When there is a lab indicated, you may find the lab instructions in the Labs folder.

DSVMs

We will use DSVMs (Data Science Virtual Machines) from the Azure marketplace to run the course materials. I'll send you your credentials along with JupyterHub and RStudio Server URLs via Email.

Instructions on how to create an Azure Linux Data Science Virtual Machine for multiple users is at http://togaware.com/running-an-r-workshop-on-azure-linux-data-science-virtual-machine/

Structure of this Repository Site

• Labs - hands-on exercises
• Slides - classroom slides
• Data - dataset