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MY CITI

20774 Perform Cloud Data Science with Azure Machine Learning

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.
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
Intended Audience: 
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. This course will also help prepare students for one of the exams required to earn the Microsoft Certified Solutions Associate (MCSA): Machine Learning certification.

Delivery Method:
Online LIVE - 3 Days
 

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