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Introduction to R for Data Analytics



Course Number



1 Day

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By leveraging the statistical programming language R, you and your organization will be able to effectively analyze data and confidently answer key business questions. In this one-day big data training course, you will gain the knowledge and skills needed to import, pre-process, mine, and evaluate from the core of the necessary data analysis for big data.

You Will Learn How To

  • Import a variety of data formats into R
  • Clean and pre-process data in preparation for analysis
  • Pre-process unstructured data for text-mining
  • Apply regression, clustering, and classification in R

Hands-On Experience:

  • Importing data from csv files, NoSQL MongoDB data stores into R
  • Handling missing values and re-scaling data in preparation for analysis
  • Using tm package to create a Term-Document Matrix for text-mining
  • Examining most useful data visualization techniques in ggplot, and more ...

Convenient Ways to Attend This Instructor-Led Course

Hassle-Free Enrollment: No advance payment required to reserve your seat.
Tuition due 30 days after you attend your course.

Live, Online

Private Team Training

Live, Online Instructor-Led

Tuition — Standard: $690   Government: $520

Apr 13 (1 Day)
9:00 AM - 4:30 PM EDT
Online (AnyWare) Online (AnyWare) Reserve Your Seat

Guaranteed to Run

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Private Team Training

Enrolling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training.

For details, call 1-888-843-8733 or Click Here »

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Course Tuition Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.


Training Hours

Standard Course Hours:
9:00 am – 4:30 pm

Each Course Day:
Informal discussion with instructor about your projects or areas of special interest:
4:30 pm – 5:30 pm

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