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
  • Self-Paced Learning

    Learning Style
  • Intermediate

    Difficulty
  • 2 Days

    Course Duration
  • 2 Days

    SATV Value
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Build and evaluate regression models generated from big data Create, score, and deploy partitioning models generated from big dat

About this course: 

Microsoft R Open is the enhanced distribution of R from Microsoft Corporation. It is a complete open source platform for statistical analysis and data science. 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.

The average salary for Big Data Analyst is $65,470 per year.

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  

Audience: 

This course is intended for: 

  • 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.

Suggested prerequisites courses: 

Career path:

Big Data Career Path…

More Information
Brand Microsoft
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 2 Days
Language English
SATV Value 2 Days
VPA Eligible VPA Eligible
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