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Course

Intro to R

Check Upcoming Dates
Course code
CEBD 1200
Duration
30 hours
So, you’re new to programming. Or maybe you’re a novice user of another programming language. Either way, you’ve come to the right place. In this course, you’ll acquire the skills and competencies to write simple programs in R, covering core language concepts (variables, loops, etc.). There are currently over 2 million people worldwide performing data analytics using R and you can be one of them! Ready to start?
You will be required to do 5-10 hours of work per week outside of class time. If you have little or no prior knowledge, you might need extra time to gain familiarity with the concepts. But don’t worry. You’ve got this!

Upcoming date(s)

Term
Section
mode
Fees

April 2 – June 4, 2025
We 18:00 – 21:00
Spring
1
Online
$800.00
Term
Spring
Section
1
mode
Online
Fees
$800.00

April 1 – June 3, 2026
We 18:00 – 21:00
Spring
1
Online
$840.00
Term
Spring
Section
1
mode
Online
Fees
$840.00

Your takeaways

This course is a great way to help you:
• Configure a functional R environment to program in R efficiently
• Manipulate basic data structures in R
• Use R to implement a variety of data-related functions commonly used in the workplace
• Write R programs using simple control constructs

Our approach

This course employs student-centered learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll get close, personalized instruction from an industry pro. This course is designed for the students to meet regularly during live synchronous learning in an online virtual classroom (Zoom).

Who benefits the most?

• Anyone who is interested in working in the IT stream of Big Data
• Individuals who want to improve the performance of their organization by harnessing Big Data
• Professionals who want to leverage data for better decision-making.
• Entrepreneurs with projects that could benefit from data analytics.
• Students of geography, biology, psychology, humanities or any other field with massive amounts of data
• IT professionals who want to transition to Big Data from more traditional sectors
• People who are new to programming or are novice users of Python or another programming language
• People who are genuinely interested in Data Science and Analytics and would like to better understand what they can do with R
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