MOC_On-Demand _banner 300x250

20773 : Analyzing Big Data with Microsoft R (90 days)

$1,250.00

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.

In Stock

Product Description

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.

This course is available for instructor-led training. To find out more, click here.

Audience Profile

The primary audience for this course is people who wish to analyse large datasets within a big data environment. The secondary audience are developers who need to integrate R analyses into their solutions.

 At Course Completion

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

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.
  • Working knowledge of relational databases.

Reviews

There are no reviews yet.

Be the first to review “20773 : Analyzing Big Data with Microsoft R (90 days)”

Your email address will not be published. Required fields are marked *