Business professional reviewing data analytics.
  • University of British Columbia Sauder School of Business Logo.

    This program is offered in collaboration with UBC Sauder School of Business, Executive Education.

Program details

You will learn analytics best practices used by the world’s top companies to develop opportunities for innovation and growth. You will also gain hands-on experience working with Excel tools for obtaining analytics-based solutions.

Through interactive discussion and hands-on exercises, this program will cover:

  • Descriptive analytics: understanding what data to collect and what it is telling you, data visualization techniques to envision important factors and relationships, quantifying your data, data variability, dealing with limited data
  • Predictive analytics: foreseeing what is likely to occur based on what has happened in the past, mining your data to predict customer demand and preferences, strategies and tactics for deploying predictive analytics initiatives
  • Prescriptive analytics: understanding your data to make better decisions, “what if” scenario analysis, minimizing pitfalls such as process variability and the “flaw of averages”, outcome optimization
  • Best-in-practice analytics methods: analytics best practices, implementation challenges, getting started with analytics methods that can be applied to your organization
  • You will have an opportunity to become more familiar with these concepts via in-class practices with Excel, which will take about half of the class time. These Excel tools include: conditional formatting, histogram, Pivot tables, simple and multiple regression, data tables, auditing tools, solver optimizer and Monte Carlo simulation.

Benefits

Through this program, you will:

  • Learn what analytics is, how it is applied across diverse industries, and how it can be applied to your own organization
  • Discover how analytics can generate new business insights and opportunities
  • Learn how analytics can mitigate risk, uncertainty and process variability
  • Identify challenges in developing analytics strategies
  • Experience how spreadsheet models can help solve challenging decisions

Who should attend?

This introductory level program is ideal for middle and upper managers, analysts, project leaders and others in a non-technical field who would like to gain an overview of the concepts and capabilities of business analytics.

Instructor

  • Instructor Tim Huh.
  • Tim Huh, Professor, Sauder School of Business, University of British Columbia

    Tim is a Professor at the Sauder School of Business, where his interests include operations management, inventory control, supply chain management and dynamic pricing. He has worked with semiconductor companies on capacity expansion and configuration, when the technology and demand for products were subject to high uncertainty. He has also worked with health care organizations, insurance companies and manufacturing facilities in Canada and the U.S.

Upcoming sessions

Navigate through the tabs below for more information on each session and to register.

Fall 2021 session

PROGRAM SCHEDULE
  • Date: November 25-26, 2021
  • Time: 8:30am-4:30pm (CST)
LOCATION
PROGRAM COST
  • $1,995 +GST

Register now

Winter 2022 session

PROGRAM SCHEDULE
  • Date: March 1-2, 2022
  • Time: 8:30am-4:30pm (CST)
LOCATION
PROGRAM COST
  • $1,995 +GST

Register now

Have questions?
Our team is happy to help! Contact us for more details.

You can also find additional details, including our cancellation policy, on our frequently asked questions (FAQ) page.

Custom program

  • Do you have 10 or more team members who would benefit from taking this program? Many of our open enrolment programs can be customized for your team and delivered exclusively to your organization. Find out more about our custom programs by contacting us today at 204-946-0232 or via email at ExecEdInfo@umanitoba.ca.

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James W. Burns Executive Education Centre
2nd floor
177 Lombard Avenue
Winnipeg, Manitoba  R3B 0W5

204-946-0232
204-946-0262