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Digital Certificate in Predictive Analytics for CPAs

This new partnership between the University of Waterloo and CPA Ontario gives participants the tools necessary to harness the power of data and build intelligent data-driven strategies.

Overview

Date: Oct. 12-Nov. 8

Time: 4 live sessions: 2:30 p.m.-4:30 p.m

PD hours: 20 CPD hours of blended learning

Event pricing: $2850 - Register before Aug. 31 and receive 10% off

Sharpen your predictive analytics skills

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.

Position yourself for the future and gain confidence to lead with data with this new digital certificate.

Program experience

4 interactive instructor led sessions

1 group project & peer review projects

Self-paced learning activities

Case studies

Digital certificate upon completion

And more...

Who this program is for

CPAs and financial professionals who want to enhance their data literacy and help their organizations gain a competitive advantage with valuable predictive analytic skills:

Managers or Directors interested in career advancement and gaining a deeper understanding of data analytics
Executives who want to enhance their financial expertise, keeping up to date with the changing needs in data, analytics and insights

What you will learn

Participants are required to log in on Tuesday, October 12, 2021 to prepare for the first live session on Monday, October 18, 2021

*self-paced to be completed in advance of the weekly live sessions

Leveraging domain knowledge to improve models

Key outcomes

Learn to interpret output from statistical analysis software, such as R, to make data-driven decisions.
Understand the ins and outs of data analytics: descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics.
Make data-driven decisions by learning to integrate and analyze data from multiple sources.
Forecast for the future by leveraging financial and non-financial data, such as customer attributes and weather data, in your models.
Apply learnings through a real-time data analytics project, using the industry standard process for data mining (CRISP-DM).

Download brochure

Download the full program brochure for a sneak peak at the type of case studies you will learn and frequently asked questions about the program.

Download

Faculty

Nancy Vanden Bosch, CPA, CA, CMA

Nancy Vanden Bosch, CPA, CA, CMA, is the Stan Laiken Teaching Fellow in the School of Accounting and Finance at the University of Waterloo. Prior to joining the School as a faculty member, Nancy was a partner at Deloitte Consulting. She is a recipient of the University of Waterloo’s Distinguished Teaching Award.

Theo Stratopoulos

Theo Stratopoulos, is the PwC Chair and Associate Professor at SAF, teaching and researching on data analytics and emerging technologies. He has authored numerous articles and monographs on data analytics and blockchain. Theo is a member of the CPA Canada - Audit Data Analytics Committee and senior editor for Journal of Information Systems.