Graduate Certificate in Analytics for Business Decision Making

George Brown College - St. James Campus

Postgraduate Certificate / Diploma

Canada,Ontario

8 Months

Duration

CAD 17,774/year

Tuition Fee

CAD 110

Application Fee

Jan 2025

Apply Date

Canada, Ontario

Type: College

Location Type: Urban

Founded: 1967

Total Students: 32,117 +

Int. Students: 4,900 +

Campus Detail

Main Campus Address

200 King St E, Toronto, ON M5A 3W8, Canada

Graduate Certificate in Analytics for Business Decision Making

Program Overview

Businesses in all industries are looking for graduates with skills in business analytics, and the Analytics for Business Decision-Making graduate certificate program will prepare you for success in this high-demand field. This program will introduce you to programming, applied statistical comprehension, and database understanding as they relate to organizational Big Data (operational) requirements. Through a mix of in-depth data analytics and business analytics courses, you'll become fluent in the techniques and tools needed to turn raw data into meaningful insights.

Here are some skills you’ll be able to show off after completion of the Analytics for Business Decision-Making program:

  • Processing data to improve problem-solving and decision-making
  • Telling stories about data to assist decision-makers in their activities
  • Creating models using operational and marketing data to help make better business decisions
  • Communicating analytics results and conclusions clearly through oral, written, and formal presentations to staff and management

Program Delivery

You will generally meet in the evenings and Saturdays, with weekday sessions for some semesters. The delivery format attempts to accommodate those who may have daytime commitments while taking this program.

Program Learning Outcomes
The graduate demonstrates the ability to:

  1. Extract, transform and load data to more efficiently support problem-solving and decision-making.
  2. Warehouse and mine data for the purpose of business decision-making.
  3. Develop classification and/or predictive models using operational and marketing data in support of business decision-making.
  4. Determine, using a variety of business intelligence tools, the most appropriate for each business decision-making scenario.
  5. Effectively communicate analytics results and conclusions orally, in written reports and in formal presentations to various levels of staff and management.
  6. Apply descriptive and differential statistical techniques to Big Data.
  7. Analyze and interpret digital information as it relates to all aspects of an organization.
  8. Apply the principles of business ethics and corporate social responsibility to the application and use of data to support business decision-making.

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