Business Decision Analysis

by The Chang School of Continuing Education Claim Listing

Up your game with our Certificate in Business Decision Analysis. Learn to identify and define particular business issues, ask the right questions, and use quantitative analysis to support your organization’s business goals.

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Course Details

The demand for specialists in data analytics is growing. Organizations worldwide continue to realize the potential of harvesting data to gain a competitive edge. 

Up your game with our Certificate in Business Decision Analysis. Learn to identify and define particular business issues, ask the right questions, and use quantitative analysis to support your organization’s business goals.

Grounded in statistics, mathematics, and computer modeling, this program is designed to develop your skills in effectively using quantitative data for managerial decision-making, across the organization, to improve business outcomes. 

 

This program:

  • Offers both online and in-class learning

  • Is eligible for OSAP

  • Is comprised of degree credit courses

  • Offers students the opportunity to apply all, or most, of the credit earned through the certificate as transfer credits to a Bachelor of Commerce program at Ryerson or at other universities (subject to admission and the requirements of the degree to which you are applying)

 

What Will You Learn? 

  • Describe, summarize, present, and analyze statistical data to support business decision-making

  • Ask the right questions to identify and define particular business issues, then leverage data from across the organization to improve business outcomes 

  • Create data collection and management strategies to support business decision-making

  • Use data to develop priorities for investing limited resources to the best advantage

  • Analyze business problems using model formulation and problem-solving techniques

  • Apply the more widely used time-series forecasting techniques and understand the practical problems of forecasting (data acquisition, model selection, and the interpretation of results)

  • Garden District Branch

    297 Victoria St, Garden District, Toronto

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