Statistical Data Modeling in Business Analytics I

  • Online delivery
  • U of A south campus
  • 21 hour course

In this hands-on course, you will focus on the appli­ca­tion of fit­ting sim­ple sta­tis­ti­cal mod­els to data and exper­i­ments. The dif­fer­ence between descrip­tive and infer­en­tial sta­tis­tics will be dis­cussed, with the intro­duc­tion of prob­a­bil­i­ty and data dis­tri­b­u­tions. You will then fit sim­ple mod­els to data start­ing with sim­ple lin­ear regres­sion, mul­ti­ple lin­ear regres­sion and analy­sis of vari­ance. By the end of the course, you should be able to inter­pret sta­tis­ti­cal mod­els of how to report them. Pre­req­ui­site EXGEN 5449
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, experiential course based on short lectures, discussions, and plenty of in-class exercises using R.
What you will learn

By the end of this course, you should be able to:

  • Have a basic understanding of statistical concepts: descriptive vs. inferential statistics, sampling and probability distributions, and experimental design.
  • Use the R programming language for statistical computing to carry out basic statistical analyses: correlation; simple linear regression; one sample, two sample; and paired t-tests.
  • Visualize and interpret statistical output.
  • Understand the meaning of statistical output.
  • Visualize results in a publication-ready format.
  • Acknowledge the limitations of the results.
Take note:

  • All course resources and learning materials are provided in-class.
  • Students are required to bring a laptop; R and R Studio will be downloaded in class.
  • This is an attendance-basis, non-graded course.
Prerequisites

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)
Feb 19, 2021Feb 21, 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 (groups of 4 or more) are avail­able for most Exten­sion cours­es. Con­tact us at corporate.learning@ualberta.ca for pre­ferred pricing.
  • Open for registration until February 19, 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.

Looking for different course dates?

New course schedules are released each June and November.

  • 1 scheduled
  • Online delivery
  • 21 hour course


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.