Analyzing Big Data with Microsoft R (MS20773)

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.

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.

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 

Module 1: Microsoft R Server and R Client

Module 2: Exploring Big Data

Module 3: Visualizing Big Data

Module 4: Processing Big Data

Module 5: Parallelizing Analysis Operations

Module 6: Creating and Evaluating Regression Models

Module 7: Creating and Evaluating Partitioning Models

Module 8: Processing Big Data in SQL Server and Hadoop

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