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MOC On-Demand: 20773-Analyzing Big Data with Microsoft R Course Outline

 (3 days)

*** Note: This is an On-Demand Self Study Class, 3-days of content, $995 ***
You can take this class at any time; there are no set dates. It covers the same content as the 3-day instructor-led class of the same name. The cost for this MOC On-Demand class is $995. (Microsoft Enterprise customers paying with Software Assurance Vouchers, see SATV Payment note below.) In all cases, customers must call us directly to purchase this class at 800-288-8221.

MOC On-Demand Learner Profiles
MOC On-Demand is a self-study training solution that was designed for two types of learners. First, MOC On-Demand is a great fit for experienced IT professionals who don't need a traditional 5-day class to upgrade their existing skills. They can pick and choose topics to make the most effective use of their time. Second, MOC On-Demand is perfect for highly-motivated individuals who are new to a technology and need to space their learning over a period of weeks or months. These learners can take their time and repeat sections as needed until they master the new concepts.

About MOC On-Demand
Our MOC On-Demand classes are self-study courses with 30 to 40 hours of content. They include hours of videos, hands-on labs using the actual software, and knowledge checks and were created by Microsoft to mirror the content found in the traditional live instructor-led version of this course. Those features are all part of the standard MOC On-Demand training. But don't settle for the standard MOC On-Demand class! Check out the "ONLC Extras" that you get when purchasing this course from us.

ONLC Extras
ONLC Training Centers bundles in valuable extras with our MOC On-Demand Courses. These items are not available from other training companies.
Courseware After the Course. Get the digital courseware that is used in the live, instructor-led version of this class. While the MOC On-Demand access goes away after 90 days, you will have access to the "extra" digital courseware for an unlimited period of time.
24/7 Online Support. You will be able to chat online with a content matter expert while you are taking your MOC On-Demand class. And, with your permission, the expert can even take over your computer to provide with assistance with your labs.

Optional Add-Ons
These add-ons are available exclusively by ONLC Training Centers and are offered to you at an additional cost.
90-Day Extension, $300. Need more time? Get another 90 days of access to your MOC On-Demand class, complete with labs, videos and knowledge checks.
Certification Pak, $150. Interested in obtaining certification? Get a Transcender practice exam and a Microsoft exam voucher at this reduced price.
ILT Listener, $250. Want to listen in and follow along with a live Instructor-Led Training (ILT) class? We offer this option for individuals on a limited budget who have time during the day to hear a live class in progress. ILT Listeners have access to their online support chat expert during the class but they do not have direct access to the live instructor.
ILT Participant, $ Varies. You've purchased MOC On-Demand, have gone through the training and decided that you still want a live class. Just pay difference between MOC On-Demand course and and the Instructor-Led Training (ILT) class and you can have a seat in our live class. Get both self-study and live, instructor-led training for the retail price of the instructor-led class alone!

Paying with Software Assurance Training Vouchers (SATV)
For Microsoft Enterprise customers paying with Software Assurance Vouchers, the cost of this class is 5 vouchers--this includes access to the self-study materials, the student workbook, 24/7 access to an online expert, and a corresponding exam voucher, if applicable, upon request.

Do You Still Prefer a Live, Instructor-led Class?
Already know MOC On-Demand is not right for you? We also offer this same course content in a live, instructor-led format. For more details, click on the link below:
20773 Instructor-led

Overview
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.

Audience profile
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
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.

At course completion
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

Course Outline

Module 1: Microsoft R Server and R Client
Explain how Microsoft R Server and Microsoft R Client work.
Lessons
What is Microsoft R server
Using Microsoft R client
The ScaleR functions
Lab : Exploring Microsoft R Server and Microsoft R Client
Using R client in VSTR and RStudio
Exploring ScaleR functions
Connecting to a remote server

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
Understanding ScaleR data sources
Reading data into an XDF object
Summarizing data in an XDF object
Lab : Exploring Big Data
Reading a local CSV file into an XDF file
Transforming data on input
Reading data from SQL Server into an XDF file
Generating summaries over the XDF data

Module 3: Visualizing Big Data
Explain how to visualize data by using graphs and plots.
Lessons
Visualizing In-memory data
Visualizing big data
Lab : Visualizing data
Using ggplot to create a faceted plot with overlays
Using rxlinePlot and rxHistogram

Module 4: Processing Big Data
Explain how to transform and clean big data sets.
Lessons
Transforming Big Data
Managing datasets
Lab : Processing big data
Transforming big data
Sorting and merging big data
Connecting to a remote server

Module 5: Parallelizing Analysis Operations
Explain how to implement options for splitting analysis jobs into parallel tasks.
Lessons
Using the RxLocalParallel compute context with rxExec
Using the revoPemaR package
Lab : Using rxExec and RevoPemaR to parallelize operations
Using rxExec to maximize resource use
Creating and using a PEMA class

Module 6: Creating and Evaluating Regression Models
Explain how to build and evaluate regression models generated from big data
Lessons
Clustering Big Data
Generating regression models and making predictions
Lab : Creating a linear regression model
Creating a cluster
Creating a regression model
Generate data for making predictions
Use the models to make predictions and compare the results

Module 7: Creating and Evaluating Partitioning Models
Explain how to create and score partitioning models generated from big data.
Lessons
Creating partitioning models based on decision trees.
Test partitioning models by making and comparing predictions
Lab : Creating and evaluating partitioning models
Splitting the dataset
Building models
Running predictions and testing the results
Comparing results

Module 8: Processing Big Data in SQL Server and Hadoop
Explain how to transform and clean big data sets.
Lessons
Using R in SQL Server
Using Hadoop Map/Reduce
Using Hadoop Spark
Lab : Processing big data in SQL Server and Hadoop
Creating a model and predicting outcomes in SQL Server
Performing an analysis and plotting the results using Hadoop Map/Reduce
Integrating a sparklyr script into a ScaleR workflow
View outline in Word

G20773

Attend hands-on, instructor-led MOC On-Demand: 20773-Analyzing Big Data with Microsoft R training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

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