Introduction to Microsoft R Server is designed to help R users learn to process, query, transform, summarize, build models on large datasets and deploy them, all using Microsoft R Server's
RevoScaleR package. This course takes a use-case-based approach by walking through a knowledge discovery and data mining example using MRS.
Ideally, this course is for intermediate or advanced R users who have a solid grounding in using R for data and statistical analysis. For example, familiarity with the following topics is assumed:
data.framea kind of
list, how to drill down a nested
lapplyto loop through a
factorcolumns (such as adding, subtracting or reordering factor levels and what we gain by doing so),
This course was written for users who come from a business analyst background, such as R, SAS, SPSS or other business analysts who are familiar with computer science and programming concepts, but are not necessarily experts in computer programming or distributed computing, and still want to learn how to use R for running analyses on big datasets and in the future be able to deploy their analytics workflow in a production environment such as Hadoop, Spark or SQL Server.
After completing this course, participants will be able to use R and Microsoft R Server's
RevoScaleR library in order to:
Throughout this course, we provide enough code examples using
RevoScaleR that the intermediate to advanced R user would learn how to integrate
RevoScaleR into their R workflow and use it to build scalable solution for problems involving large datasets and/or distributed systems.
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Created by a Microsoft Employee.