R Language for Statistical Computing in Business Analysis
- 21 hour course, no prerequisites
The next step for business analytics students is to gain an opportunity to use the free software R to perform statistical computing. In this hands-on course, you will be introduced to data manipulation and visualization using the R language, primarily working with a set of packages knows as the tidyverse. At the end of this course you should be able to subset large datasets, apply functions to those subsets, fit simple linear and generalized linear models, and visualize the results in a publication-ready format.
Course at a glance
- Aimed at mid-level managers who are involved with data analysis and the analytics needs within their organization.
- In-class, face-to-face delivery.
- A hands-on course with plenty of opportunity for students to write and execute R code on their own laptops.
What you will learn
By the end of this course, you should be able to:
- Have a basic understanding of the R programming language.
- Understand the essentials of working in R and R Studio.
- Identify data structures and types.
- Have an introductory understanding of data manipulation and visualization using R.
- Be familiar with tidyverse packages.
- Understand the tidyverse data science workflow.
- Carry out basic statistical calculations.
- Identify tools to visualize and interpret statistical output.
- Understand the meaning of statistical output.
- Visualize results in a publication-ready format.
Take note:
- Students are required to bring a laptop; R and R Studio will be downloaded in class.
- This is an attendance-basis, non-graded course.
This course has no prerequisites
Students from all educational backgrounds welcome. You can register for this course without applying and enrolling in a program.
Currently counts towards
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Technology & Innovation
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Technology & Innovation
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Series
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Data Science
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Business Seminars
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* If you are already enroled in this program, please refer to your specific program requirements as outlined at the time of your admission: Bear Tracks > Academic Advisement.
You can register for and take a course without applying and enrolling into the program.
We recommend that you apply to the program as soon as possible to lock in your course requirements as they are subject to change.
This is a skills-enhancing course in
Looking for different course dates?
New course schedules are released each June and November.
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