> > 20773-PRIME

Analyzing Big Data with Microsoft R MOC On-Demand Prime

 

MOC On-Demand Prime contains:

When booking your MOD Prime, please specify your desired classroom training date in the comment field. You can also book your classroom training later.

You will receive your MOC On-Demand access after receipt of payment and two weeks before the start of your classroom training. Then you will have three months to register and from then on will have access for 180 days.

*Fast Lane provides up to 3 Microsoft exam vouchers as part of the 100% Exam Pass Guarantee

MOC On Demand Offer Overview

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.

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.

Course Objectives

  • 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

Product Description

This course teaches you how 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.

Price (excl. tax)
  • 2,389.- €
BUY NOW
Upcoming classroom training dates
Germany
24/04/2019 - 26/04/2019 Stuttgart
22/05/2019 - 24/05/2019 Frankfurt
 

Cookies help us deliver our services. By using our services, you agree to our use of cookies.   Got it!