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Analyzing Big Data with Microsoft R (20773)

Course Description Schedule Course Outline
 

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

Follow On Courses

Course Content

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.

Classroom Training
Modality: C

Duration 3 days

Dates and Booking
 
Click on town name to book Schedule
Africa
Europe
France
08/07/2019 - 10/07/2019 Paris
28/10/2019 - 30/10/2019 Paris
Italy
02/09/2019 - 04/09/2019 Rome
11/11/2019 - 13/11/2019 Milan
Switzerland
03/07/2019 - 05/07/2019 Zurich
United Kingdom
29/05/2019 - 31/05/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
guaranteed date!
19/08/2019 - 21/08/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
Fast Lane will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
This is a FLEX course, which is delivered both virtually and in the classroom.