Analyzing Big Data with Microsoft R

Prvi termin: 21.1 - 23.1 Oznaka tečaja: 20773 SATV voucher: Da Izvedba potrjena: Ne Zahtevnost: Napredni

Predavatelji

Cena brez DDV

960,00 €

Trajanje (dni)

3

Število ur:

27

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.

Audience profile:

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

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.

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