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.

Consists of

  • 3 months access to e-learning materials
  • 3 months access to training labs


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.

Course outcome

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

Who should attend

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.

Module overview

  • Module 1: Microsoft R Server and R Client
    • Lab : Exploring Microsoft R Server and Microsoft R Client
  • Module 2: Exploring Big Data
    • Lab : Exploring Big Data
  • Module 3: Visualizing Big Data
    • Lab : Visualizing data
  • Module 4: Processing Big Data
    • Lab : Processing big data
  • Module 5: Parallelizing Analysis Operations
    • Lab : Using rxExec and RevoPemaR to parallelize operations
  • Module 6: Creating and Evaluating Regression Models
    • Lab : Creating a linear regression model
  • Module 7: Creating and Evaluating Partitioning Models
    • Lab : Creating and evaluating partitioning models
  • Module 8: Processing Big Data in SQL Server and Hadoop
    • Lab : Processing big data in SQL Server and Hadoop

 398,00 (excl. BTW)
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