Analyzing Big Data with Microsoft R (20773A)
Duration: 3 Days
US Price: $895
Delivery Option: Attend via MOC On-Demand
Registration: Click here to register for Microsoft Official Courses on-demand training.
Description
This is a Microsoft Official Course (MOC) and includes Microsoft courseware and hands-on labs. This course gives 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.
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
Before attending this course, students must 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
About MOC On-Demand
Microsoft Official Courses On-Demand (MOC On-Demand) uses a combination of streaming video, text, lab exercises and assessment checks throughout the course. You have 6 months to activate your MOC course. Once activated, MOC On-Demand courses are available for 90 days and recommend the following system requirements:
- Browser: Current version of Internet Explorer, Microsoft Edge, Google Chrome or Firefox
- Internet: Broadband Internet connection of over 4Mbps
- Screen Resolution: 1280 x 1024 or higher
Course Overview
Module 1: Microsoft R Server and R Client Explains how Microsoft R Server and Microsoft R Client work. Lessons
After completing this module, students will be able to:
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Module 2: Exploring Big Data At the end of this module the student will be able to use R Client with R Server to explore big data held in different data stores. Lessons
After completing this module, students will be able to:
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Module 3: Visualizing Big Data Explains how to visualize data by using graphs and plots. Lessons
After completing this module, students will be able to:
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Module 4: Processing Big Data Explains how to transform and clean big data sets. Lessons
After completing this module, students will be able to:
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Module 5: Parallelizing Analysis Operations Explains how to implement options for splitting analysis jobs into parallel tasks. Lessons
After completing this module, students will be able to:
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Module 6: Creating and Evaluating Regression Models Explains how to build and evaluate regression models generated from big data. Lessons
After completing this module, students will be able to:
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Module 7: Creating and Evaluating Partitioning Models Explains how to create and score partitioning models generated from big data. Lessons
After completing this module, students will be able to:
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Module 8: Processing Big Data in SQL Server and Hadoop Explains how to transform and clean big data sets. Lessons
After completing this module, students will be able to:
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