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20773: Analyzing Big Data with Microsoft R

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.

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

Vui lòng bấm "Course Outline" để xem thêm nội dung chi tiết.

Thời lượng: 03 ngày
Giảng viên: Microsoft Certified Trainer
Chứng nhận hoàn thành khóa học của Microsoft

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