Product Image

Analyzing Big Data with Microsoft R

This course majorly focuses on the core features and functionalities of RevoScaleR Package which is the most essential component of Microsoft R Server.

Self-Paced

Learning Style

Microsoft

Provider

Intermediate

Difficulty

16 Hours

Course Duration

Course Info

Download PDF

Certificate

See Sample

tab
About Individual Course:
  • Individual course plan gives you access to this course
$99.00
$99.00
/ Each
145 Learners Have Enrolled For This Course
When you subscribe, you get:
Learn Subscription plan gives you access to this course and over 836 other popular courses
On Sale!
Now Only $39.99 Regular Price $44.99
Now Only $39.99 Regular Price $44.99
/ Month
Team
Pricing
  • Buy 1-5 Enrollments And Save 0% ($39.99 monthly.)
  • Buy 6-9 Enrollments And Save 10% ($35.99 monthly.)
  • Buy 10-19 Enrollments And Save 20% ($31.99 monthly.)
  • Buy 20-above Enrollments And Save 30% ($27.99 monthly.)
145 Learners Have Enrolled For This Course

You have already taken demo for this course.

If you want to get access to demo again, feel free to contact our support at (855) 800-8240

This course majorly focuses on the core features and functionalities of RevoScaleR Package which is the most essential component of Microsoft R Server.

Course Information

About this Course:

This intermediate-level training program is specifically designed for IT Professionals and Developers working within Big Data Environment. This course presents a great learning opportunity for students and candidates striving to learn the fundamentals of working with Big Data. Microsoft R Programming Language and its functionalities are comprehensively elaborated in this course and professionals get practical experience of analyzing and working with big datasets.

This course majorly focuses on the core features and functionalities of RevoScaleR Package which is the most essential component of Microsoft R Server. Professionals get to develop familiarity with these functionalities and apply these features to process and analyze large datasets seamlessly. Professionals also get to learn the art of deploying Microsoft R Server Functionalities on SQL Server Database and Spark Cluster. In this way, candidates will get to learn the basics of big data problem solving with the help of Microsoft R Server (MRS).

Course Objective:

The core objective of this course is to help professionals gain a better knowledge and understanding of the following key concepts:

  • Data Interpretation from Flat Files into Microsoft R Data Frame
  • Dataset Structure Investigation and Resolutions
  • Prepared Datasets Storage and Applications
  • Data Transformation and Preparation
  • Essential Summary Statistics Calculation and Crosstabulation’
  • Creating Summary Functions and ggplot2 Data Visualization
  • Data Deployment and Scaling
  • Predictive Model Development and New Data Prediction Generation
  • Model Comparison and Evaluation

Audience:

This course is specifically tailored for Data Scientists and Data Analysts. Professionals liable for R Analysis and Solution Integration can also greatly benefit from the teachings of this course. 

Prerequisites:

Professionals planning to enroll in the Analyzing Big Data with Microsoft R Course must comply with the following prerequisites:

  • Familiarity with the Core Features and Functionalities of Microsoft R.
  • Fundamental Knowledge of Microsoft R Data Structures
  • Working Experience with Third-Party Packages is also highly Recommended

Outline

More Information

More Information
BrandMicrosoft
SubjectsBig Data
Lab AccessNo
TechnologyMicrosoft
TopicsBig Data
Learning StyleSelf-Paced Learning
Learning TypeCourse
DifficultyIntermediate
Course Duration16 Hours
LanguageEnglish

Reviews

Write Your Own Review
Only registered users can write reviews. Please Sign in or create an account

Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

This Subscription Includes:

Information
Virtual instructor Led

Virtual Classroom Courses

Our virtual instructor-led courses give you access to live instructors training you with other live students in a virtual classroom environment.

< Play Video >
250+ Virtual Instructor-Led Courses
Information
Self-Paced

Online Self-Paced Courses

Take self-paced online courses at your convenience and own pace, with unlimited access to courses in various emerging technologies.

900+ Self-Paced Courses
Information
College

E-books blogs, case studies, articles

As part of informal learning, our platform will recommend E-books, whitepapers, case studies, articles, and videos. This is AI curated content closely aligned with your learning objectives.

E-books, blogs, & case studies
Information
College

Self-Assessments

Set yourself on the right path with self-assessments that allow you to gauge what you already know. Assessments then personalize your learning paths, and allow you to focus only on what you need to succeed.

Self-Assessments
Information
Dashboard

Full Learning Dashboard & Analytics

Access all your enrolled, completed, course statistics, and community discussions from one centralized and intuitive learning dashboard with built in analytics, course tracking, time spent, and more.

Analytics/Reporting
Information
Social

QuickStart Discussions

Engage with other learners where you can directly chat, ask questions, and socialize with other learners experts and instructors on a course subject.

Community Access Community Access
Information
Labs

Virtual Labs

Videos and lectures only go so far. Get real world, hands-on practice with virtual labs (not available for all courses).

Virtual Labs Virtual Labs
Information
Live Instructor Support

Live Instructor Mentoring & Support

Get your IT problems solved through a community of mentors, experts and peers. Get live help from experts to answer questions on course material or guidance on a project.

Mentoring & Discussions Mentoring & Discussions
Information
Dashboard

Career Paths

Start a learning pathway towards understanding and mastering your career. With QuickStart career paths, you can fully understanding and being the best in your field.

Learning Paths Learning Paths
Information
Dashboard

Informal Learning

Access to AI curated content from various content publishers which can help in self-directed learning.

Informal Learning Informal Learning
click here