Analyzing Big Data with Microsoft R

About the course

The main purpose of the course is to give students the ability to use Microsoft R Server to create and run an analysis on a large dataset and show how to utilize it in Big Data environments, such as a Hadoop or Spark cluster, or a SQL Server database.

ideal for

• The primary audience for this course is people who wish to analyze large datasets within a big data environment.

• The secondary audience are developers who need to integrate R analyses into their solutions.

Objectives

After completing this course, students will be able to:

• Explain how Microsoft R Server and Microsoft R Client work

• Use R Client with R Server to explore big data held in different data stores

• Visualize data by using graphs and plots

• Transform and clean big data sets

• Implement options for splitting analysis jobs into parallel tasks

• Build and evaluate regression models generated from big data

• Create, score, and deploy partitioning models generated from big data

• Use R in the SQL Server and Hadoop environments

Prerequisite Knowledge

In addition to their professional experience, students who attend this course should have:

• Programming experience using R, and familiarity with common R packages

• Knowledge of common statistical methods and data analysis best practices.

• Basic knowledge of the Microsoft Windows operating system and its core functionality.

• Working knowledge of relational databases.