Business Analytics for Managers

    EXMGT 5447 is offered this fall:

Know­ing how to extract real busi­ness val­ue from the data gen­er­at­ed by your orga­ni­za­tion is a valu­able tool for all man­agers. Top­ics may include: foun­da­tion­al infor­ma­tion on what is meant by ana­lyt­ics; the var­i­ous types of ana­lyt­ics — descrip­tive, pre­dic­tive and pre­scrip­tive; mov­ing from busi­ness intel­li­gence to busi­ness ana­lyt­ics; the­o­ries and trends in data ana­lyt­ics; and the lat­est best prac­tices and tools avail­able in busi­ness ana­lyt­ics, includ­ing their advan­tages and disadvantages.

Course at a glance
  • Be in the loop: big data analytics was identified in the World Economic Forum’s Future of Jobs report as the top technology adoption trend for organizations in North America.
  • Course aimed at mid-level management who are developing and implementing new business analytics projects within their organization.
  • In-class, face-to-face delivery, lecture and discussion-based course.
What you will learn

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

  • Describe the features and benefits of an analytics program.
  • Recognize analytics management trends.
  • Identify key stakeholders and roles that should be part of your program.
  • Develop a plan to build an analytics program to support your organization.
  • Identify strategies for maintaining an effective analytics program.
  • Describe questions answered by analytics.
  • Distinguish decision-making, environmental and organizational analytics trends.
  • Recognize attributes of Analytics 3.0.
  • Distinguish stages of the roadmap of analytical progress.
  • Recognize types of barriers of an analytics program.
  • Discuss challenges to building a data sciences team.
  • Identify factors affecting analytics program success.
  • Describe progression points for analytics success factors.
  • Describe considerations for defining and communicating value.
  • Discuss the role of the analytics program owner.
  • Recognize the steps for managing the analytics model life cycle.
  • Describe the importance and approaches to deliver the measurement framework.

Offered:

Take note:
  • All reading materials will be available through eClass, the University of Alberta’s eLearning management tool.
  • Students will prepare and submit an analytics case study utilizing techniques learned in class (80% of final mark). Participation and active learning will be make up 20% of the final mark.
Sep 24, 2022Sep 25, 2022
Mondays

Tuesdays

Wednesdays

Thursdays

Fridays

Saturdays

9:00 am – 4:30 pm MT

Sundays

9:00 am – 4:30 pm MT

In-per­son (face-to-face) learning, downtown Edmonton

14 hours of instruction

In-person courses are taken entirely in-class. for­mat details

Classes take place on the second floor of Enterprise Square, 10230–Jasper Avenue, downtown Edmonton.

David Yuk

Your Instructor

David YukID: david-yuk

Class info
This course has no prerequisites

Students from all educational backgrounds welcome. You can register for this course without applying and enrolling in a program.

Take note:

  • All reading materials will be available through eClass, the University of Alberta’s eLearning management tool.
  • Students will prepare and submit an analytics case study utilizing techniques learned in class (80% of final mark). Participation and active learning will be make up 20% of the final mark.
Currently counts towards:

Applicants intending to enrol in a program are encouraged to apply as soon as possible to lock in their course requirements since they are prone to change.

*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.

Looking for
different course dates?

New course schedules are released each June and November.

EXMGT 5447 is offered this fall: