R Language for Statistical Computing in Business Analysis

  • Online delivery
  • U of A south campus
  • 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.

Offered:


Fall courses: all online

All courses will be delivered online, including many that were previously unavailable in the online format.

If you do see a program on our website announced as an in-person or downtown Edmonton offering, please disregard the format – but not the program. There will be no in-person offerings through the Faculty of Extension for the Fall term.

Get ready to keep learning! Register for a course and join us online this Fall.

Your Instructor

Stefan Schreiber

Stefan Schreiber is a registered professional biologist and researcher with over 15 years of academic training in designing field experiments, data analysis, and interpretation of scientific results. He is the owner of EnviroStats Solutions Inc., a company focused on fast and rigorous environmental statistics, data analysis, visualization, and professional training in statistics within the R programming environment. Stefan holds a PhD in Forest Biology and Management from the University of Alberta and is also an Adjunct Professor at the Faculty of Agriculture, Life, and Environmental Sciences.

Online learn­ing, south campus

Online courses are accessible through eClass, the University of Alberta’s eLearning management tool. for­mat details

All of us at Extension are looking forward to welcoming you to our virtual classrooms this season with courses that are tailor-made for online delivery. Join us!
Weekend (Fri, Sat, Sun)
Jan 22, 2021Jan 24, 2021
Monday

Tuesday

Wednesday

Thursday

Friday

9:00 am – 4:30 pm

Saturday

9:00 am – 4:30 pm

Sunday

9:00 am – 4:30 pm

Class info
  • Please bring your own device (BYOD), lap­top or tablet, to class. Please vis­it ual​ber​ta​.ca/​e​x​t​e​n​s​i​o​n​/BYOD for fur­ther information. 
  • 21 course hours in total
  • Cost assistance: May be eli­gi­ble for the Cana­da-Alber­ta Job Grant and the Canada Training Benefit. (view all)
    Cor­po­rate mul­ti-reg­is­tra­tion pack­ages are avail­able for most Exten­sion cours­es. Con­tact us at corporate.learning@ualberta.ca for pre­ferred pricing.
  • Open for registration until January 22, 2021. Register at least one week before the course start date to secure your spot. If space is available you may register until the day the course starts.
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
Looking for different course dates?

New course schedules are released each June and October.

  • 1 scheduled
  • Online delivery
  • 21 hour course, no prerequisites


Fall courses: all online

All courses will be delivered online, including many that were previously unavailable in the online format.

If you do see a program on our website announced as an in-person or downtown Edmonton offering, please disregard the format – but not the program. There will be no in-person offerings through the Faculty of Extension for the Fall term.

Get ready to keep learning! Register for a course and join us online this Fall.

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