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Analyzing Big Data with Microsoft R - Moc On Demand (MS-20773)

Build and evaluate regression models generated from big data Create, score, and deploy partitioning models generated from big dat
    • Learning Style
      Self-Paced Learning
    • Difficulty
      Intermediate
    • Course Duration
      2 Days
Build and evaluate regression models generated from big data Create, score, and deploy partitioning models generated from big dat
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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:

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.

Course Objective:

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:

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.

More Information
Lab Access No
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 2 Days
Language English
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