R Programming for Data Analytics COMP 9775
Micro-credential
Online Course Above Description
This is an Online course "Above Description Content" test text field.
This is an Online course "Description" test text field.
Online Course Below Description
This is an Online course "Below Description Content" test text field.
Online Course Additional Information Note
This is an Online course "Additional Information Note Content" test text field.
Online Course Disclaimer
This is an Online course "Disclaimer Content" test text field.
Micro-credential Above Description
This is an Micro-credential "Above Description Content" test text field.
This is an Micro-credential "Description" test text field.
Micro-credential Below Description
This is an Micro-credential "Below Description Content" test text field.
Micro-credential Additional Information Note
This is an Micro-credential "Additional Information Note Content" test text field.
Micro-credential Disclaimer
This is an Micro-credential "Disclaimer Content" test text field.
Our R Programming for Data Analytics course is designed for aspiring data analysts who want to learn how to use the R programming language for data analytics. Get a solid foundation in R programming concepts, and learn how to apply these skills to real-world data analytics problems. This R programming course focuses on hands-on learning, with each class featuring a mix of lectures, demonstrations, and hands-on exercises.
Prerequisites
You must have completed COMP 9753 Business Intelligence Fundamentals or have equivalent working experience and you must have basic programming experience (but it does not need to be R programming experience).
Note(s)
Passing this course earns you a micro-credential, which is provided to you as a digital badge that can be posted to social media platforms (such as LinkedIn).
Hours and Fees
Hours
42
Fee
$500.95
There are no classes currently scheduled for this course; however, check back to see if we have developed additional schedules for the upcoming term. Classes for our 2025–26 academic year will launch in early July.
- Contact Information
- Contact Department:
- Construction, Technology & Trades Department
- Email:
- cetechnology@georgebrown.ca
- Phone:
- 416-415-5000, ext. 4861
- Office Location(s):
- Casa Loma Campus, 160 Kendal Ave., Building C (CLC), Room C426
Read about our textbooks policy, and remember that the Continuing Education attendance policy and closure dates differ from those for full-time college programs.