0191 - Predictive Analytics for CPAs
Course Description
Overview
Expectations around data continue to increase at an exponential pace. Gaining the right skills to navigate complexity to make timely and informed decisions is vital for every business leader, particularly CPAs.
Simply being fluent in the language of data isn't enough. The true power of data comes from being able to turn insights into transformative decision making. When leveraged effectively, these insights provide elevated competitive advantage and stronger strategic direction.
This partnership between the University of Waterloo and Chartered Professional Accountants of Ontario (CPA Ontario) gives participants the tools necessary to harness the power of data and build intelligent data-driven strategies. Position yourself for the future and gain confidence to lead with data with this new digital certificate.
Who Should Enroll
This certificate is designed for those who lead (or aspire to lead) individuals or teams than benefit or could benefit from the application of the predictive analytics.
After completing this certificate, you will be able to have a deeper understanding of predictive analytics and will be able to plan, and oversee the use of predictive analytics in your organization.
- Individuals who have completed the Leadership Certificate
- Professionals who want to delve deeper into leadership best practices
- Supervisors
- Managers
- Team leads
- Aspiring leaders
What you will learn
- Identify applications and limitations of predictive analytics.
- Organize activities and resources required to complete a data analytics project using the industry standard process for data mining (CRISP-DM).
- Translate a business problem/question into a predictive analytics project description.
- Compare the insights from and reliability of different forecasting models developed to answer the business question.
- Evaluate the predictive accuracy of forecasting models.
Course Details
This six-week course includes 20 hours of learning and participants will be expected to start the self-paced module on their own and come prepared to the instructor-led sessions.
Expect live and interactive instructor-led sessions, group project work, peer review groups with feedback, presentation opportunities, debrief sessions and self-paced learning activities.