Analyzing Big Data with Microsoft R (20773)

 

Quién debería asistir

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.

Prerrequisitos

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.

Objetivos del curso

  • 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

Contenido del curso

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

Duración 3 días

Precio (sin incluir impuestos)
  • Panama: US$ 700,-
  • Argentina: US$ 700,-
  • Brasil: US$ 700,-
  • Chile: US$ 700,-
  • Colombia: US$ 700,-
  • Costa Rica: US$ 700,-
  • SA Voucher: 3
    hardcoded default SA
Entrenamiento en línea

Duración 3 días

Precio (sin incluir impuestos)
  • Panama: US$ 700,-
  • Argentina: US$ 700,-
  • Brasil: US$ 700,-
  • Chile: US$ 700,-
  • Colombia: US$ 700,-
  • Costa Rica: US$ 700,-
  • SA Voucher: 3
    hardcoded default SA
 
Presionar el boton sobre el nombre de la ciudad para reservar Calendario
América Latina
Europa
Francia
Oct 28, 2019 - Oct 30, 2019 París Este curso será presentado por un socio
Italia
Nov 11, 2019 - Nov 13, 2019 Milano
Feb 3, 2020 - Feb 5, 2020 Roma