A Brief Tour of Data Science Statistical Methods

This webinar introduces participants to the foundational goals of machine learning models and explores some of the most commonly used techniques. Designed for institutional researchers and data professionals, the session provides a high-level overview of how data science approaches can support decision-making, operational improvement, and predictive analysis in higher education settings. No prior data science experience is required, making this an ideal starting point for anyone interested in broadening their analytics skillset.

  • Describe the goals of machine learning models.
  • Identify commonly used machine learning models.

Registration Information

A recording of this webinar will be available for 30 days from the time of purchase.

Length/Time Commitment

1 Hour


Recorded Date: 04/13/2022

Format: On-Demand

Topic: Leadership and Management; Project Management; Methods, Research, and Analytics; Statistics; Technology and Tools; Artificial Intelligence and Machine Learning

Experience Level: All

Member/Non-Member Price: $0 Member/$0 Nonmember

Presenter(s): Jacqueline Johnson, Principal Analytical Training Consultant, SAS Institute.

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