About this 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.

Audience profile:

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.

Prerequisites:

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

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.

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