Applying Data in Decision-Making Processes



Program Overview

Improve your ability to use data and analytics in business decision-making processes

In this program, participants will learn how to analyze data, build models and interpret analytical results. Participants will obtain hands-on experience with Microsoft Excel. The program will explore descriptive analytics (what is the data trying to tell me?), predictive analytics (what is likely to occur?) and prescriptive analytics (what is the best decision I should make?).

Rather than merely adopting a “plugging into formulas” approach in this program, participants will understand how one can effectively communicate key results to important stakeholders. Ultimately, good data with correct calculations leads to improved decision-making.

  • Key Learning Objectives
    • Appreciate and recognize the overall perspective of data analytics
    • Understand how data analytics can be applied in a participant’s particular organization
    • Demonstrate how analytics can lead to deeper insights and informed decision-making
    • Recognize how one can present the results of data analytics models
    • Enhance understanding of Excel spreadsheets as a tool for model-building
    • Become familiar with descriptive analytics, predictive analytics and prescriptive analytics
  • Who Should Attend
    • Any interested in the application of data analytics to improve organizational decision-making
    • Aspiring business professionals
    • This program is intended for those with limited exposure or experience in data analytics
  • What Is Included
    • All learning materials provided digitally through Canvas
    • Certificate of Completion
    • Credential to add to your CV and LinkedIn Profile 
    • PMI Professional Development Units (PDU's)
    • Data files and Microsoft Excel Spreadsheet package
    • Readings available prior to the program start date 
    • 6.5 CPHR Saskatchewan Continued Professional Development (CPD) Hours

Coming Soon

Fees: $995 plus Taxes

Registration Deadline: To Be Announced

Location: #600, 340 3rd Ave N Saskatoon

Program Schedule

8:30 AM - 4:30 PM CST

More Information

In-person delivery occurs at Edwards Executive Education #600, 340 3rd Ave N in Saskatoon with all learning materials provided digitally on Canvas. In-person delivery includes instructor facilitation, small group exercises, large group discussions, interactive learning, networking and ample breaks and opportunities for questions and discussions. Participants will be required to bring a laptop/digital device to access all learning materials during the program. Breakfast, lunch, and refreshments will be provided. Please read our COVID-19 information page for expectations and how to prepare for your program.

Course Planner

For more information, contact

Rebecca Schweighardt
Manager, Open Enrolment
306-966-7956
Email Me

Instructor Profile

keith_willoughby_website.jpg

Keith Willoughby

Keith Willoughby is the Dean and a Professor in the Department of Finance and Management Science at the Edwards School of Business (University of Saskatchewan). He holds a PhD in Operations Management from the University of Calgary. His teaching interests include data analytics, operations management, business forecasting, and operations research. Through developing analytical models to inform decision-making, his published scholarly works seek to connect theory with practice. He has created data-driven models to assist planning in health care, public transit systems, and professional sports leagues. As a certified Lean Six Sigma Black Belt (through the American Society for Quality), he has professional experience in the health care industry.

Offer This Program In-House

Interested in bringing this program to your organization or team within your organization? Fill out our Online Needs Assessment form and show your interest in bringing this program in-house or customized based on your needs.

Cancellation Policy

For information regarding our cancellation and refund policy please visit our terms and conditions.

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