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

* 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
Email

extnreg@ualberta.ca

Looking for different course dates?

New course schedules are released each June and November.

Course not yet scheduled

This course is not currently scheduled, but may be offered in an upcoming term.

New course schedules are announced each June and November.

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