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
Weekend (Fri, Sat, Sun)
Jan 22, 2021Jan 24, 2021
9:00 am – 4:30 pm
9:00 am – 4:30 pm
9:00 am – 4:30 pm
Class info
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Please bring your own device (BYOD), laptop or tablet, to class. Please visit ualberta.ca/extension/BYOD for further information.
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21 course hours in total
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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 excorp@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
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Technology & Innovation
└ course option
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Technology & Innovation
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Series
in
Data Science
└ course option
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Business Seminars
└ course option
* 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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