Course Introduction (25 hrs.)
This course offers learners the opportunity to learn about the fundamental ideas of dealing with Big Data. Microsoft R Programming Language and its functions have been explained in great depth in this course and professionals receive the advantage of obtaining a practical knowledge of analyzing and managing enormous datasets. This course mostly concentrates upon the core components and functionalities of RevoScaleR Package. Professionals will also learn how to implement Microsoft R Server functionalities on SQL Server databases and Spark clusters. As a result, learners will receive instruction in the fundamental ideas of big data problem solving via the use of Microsoft R Server (MRS).
Program Added Value
After completing this program, audiences will be able to:
- Read data from flat files into R's data frame object, explore and fix the dataset's structure, and save prepared datasets for further use.
- Create predictive models, analyze, and compare them, and make predictions based on fresh data.
- Use the ggplot2 package to calculate important summary statistics, perform crosstabulation, develop your own summary functions, and visualize data.
- Data preparation and conversion.
After completing this program, audiences will be able pass the following exams:
- Exam 70-773: Analyzing Big Data with Microsoft R
Program Prerequisites
Before attending this course, audiences must have:
- Understanding of Microsoft R's major components and functions.
- Practical familiarity with Third-Party Packages is strongly recommended.
- Basic understanding of Microsoft R Data Structures
Program Topics
Introduction Microsoft R server and R client
Exploring Big Data
Visualizing Big Data
Processing Big Data
Parallelizing Analysis Operations
Creating and Evaluating Regression Models
Creating and Evaluating Partitioning Models
Processing Big Data in SQL Server and Hadoop
Attendees Required Resources
Personal Laptop with at least Windows 10 & Office 2016 is required to access course LAB.