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Analyzing Big Data with Microsoft R (20773)

Course Description Schedule Course Outline
 

Course Overview

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.

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.

It is recommended that delegates review this self-pace content to gain an introduction to the R language

https://www.edx.org/course/introduction-r-data-science-microsoft-dat204x-5

Course Objectives

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

Follow On Courses

Classroom Training

Duration 3 days

Price (excl. VAT)
  • United Kingdom: £ 1,706.-
  • SA Voucher: 3
    hardcoded default SA
Enroll now
Online Training

Duration 3 days

Price (excl. VAT)
  • United Kingdom: £ 1,706.-
  • SA Voucher: 3
    hardcoded default SA
Enroll now
 

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