Statistical Data Modeling in Business Analytics II

  • Online delivery
  • U of A south campus
section WI1
starts in 4 months

In part two of this hands-on course, you will focus on fit­ting more com­pli­cat­ed mod­els to data and exper­i­ments. The mod­els that will be dis­cussed are known as gen­er­al­ized lin­ear mod­els and mixed effect mod­els. You will also learn about mul­ti­vari­ate sta­tis­ti­cal tools, such as prin­ci­pal com­po­nent analy­sis, as well as enter­ing the field of pre­dic­tive mod­el­ing using time series data and sim­ple fore­cast­ing tech­niques. By the end of the course, you should be able to inter­pret, report and present the results of your sta­tis­ti­cal mod­els. Pre­req­ui­site EXGEN 5454
Prerequisites
Required EXGEN 5454 – Statistical Data Modeling in Business Analytics I

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)
Mar 5, 2021Mar 7, 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. 
  • 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 March 5, 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.
Available
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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.

Email

extnreg@ualberta.ca

Looking for different course dates?

New course schedules are released each June and November.

  • 1 scheduled
  • Online delivery
section WI1
starts in 4 months


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.