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Python Powered Predictions on Student Enrollment with the University of Waterloo


November 3


2:00 pm - 3:00 pm


EDT – Live Webinar

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The Higher Education Analytics Community continues to share the stories of our colleges and universities through their successes and challenges with data analytics.

In this webinar, we’re excited to feature The University of Waterloo’s journey towards developing a prototype model in Python that will help predict student enrollment over the next 3 years.

The University of Waterloo faces a unique scenario. They have North America’s most extensive co-op program and are open year-round, making it difficult for many out-of-the-box predictive tools to forecast student enrollment accurately. By using an open-source tool like Python and combining it with Tableau’s data preparation and reporting capabilities, the school developed a more detailed model that predicts student enrollment – and one that works!

Although the model is still in the testing phase, you’ll get a chance to see how it works in Python and how the project is elevated with Tableau Prep and Tableau Desktop to dynamically create transitions and visualize data! Join us on November 3rd to learn more.

What You’ll Learn

UW's Analytics Journey

Learn how the University developed their student enrollment forecasting model and what they learned along the way.

Predicting Student Enrollment

Learn how the school applied the Markov Model in Python.

Data Prep & Visualization

Learn how Tableau was instrumental in seeing and understanding the data!

Save Your Spot

Meet Your Presenters

Lannois Carroll-Woolery, Manager, Data Analytics and Reporting
University of Waterloo

Image of Erica

Erica Dale, Analytics Evangelist
Newcomp Analytics

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