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Info session: Introduction to Regression Modelling

 

Wednesday, August 30, 2023 | 12 – 1 p.m. ET

In today's data-driven workforce, regression modelling is a popular way for organizations to harness the power of predictive analytics. Its simplicity suits a wide range of modern business applications, enabling leaders effectively interpret data and forecast future trends, patterns, and outcomes. Whether you work in finance, marketing, health care, or manufacturing, predictive analytics is an essential stepping stone that can be used to enhance your decisions and optimize your operations.

Join this free info session on August 30 from 12 - 1 p.m. ET and discover the basics of regression modelling and improve your understanding about the predictive power of your organization's data. 

What you'll learn:

  • Understand predictive analytics and how it can be leveraged by your organization.
  • Discover regression modelling essentials and their power to support business decision-making and recommendations.
  • Essential tools and software your must consider for your business to compete and thrive in today's data market.
  • Explore a case study that shows the real-world applicability and benefits of regression modelling.


Meet your speaker

Headshot of Will Xiang

 

Will Xiang, CPA, CA, CITP, CAMS

Adjunct Professor, School of Accounting and Finance | Course Instructor

Will Xiang brings over 13 years of consulting experience gained through working in San Francisco, New York, and Toronto. Will has provided clients in the Americas, Europe, and AsiaPac with cybersecurity, data analytics, privacy security, and process optimization advisory services. Most recently, Xiang has worked for a multinational manufacturer in building predictive analytics around the risk management program.

Outside of work, Xiang invests his time as an adjunct professor at the University of Waterloo’s School of Accounting and Finance. He is also a graduate from the University of Waterloo’s Accounting and Financial Management, and Master of Accounting (MAcc) programs.

Missed this webinar? Watch the recording!