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Explore professional education courses and programs from Canada's top tech university

WatSPEED offers a wide selection of courses in data analytics, data science, machine learning, big data, artificial intelligence (AI), and generative AI.

Access knowledge from world-renowned professors, researchers, and industry leaders from the University of Waterloo. Register today to continue your lifelong learning journey with WatSPEED.

Featured programs and courses

Data Analytics for Behavioural Insights

Establish foundational knowledge in statistical analysis and gain essential programming skills with Python and R. Designed for beginners with no prior coding or analytics experience.

Data Science

Learn advanced statistical modelling, machine learning, and big data tools. Course content covers the seven domains of INFORMS' Certified Analytics Professional (CAP) certification.

AI and Business Strategy

Join Dr. Joël Blit and Dr. Jimmy Lin for this three-part executive sprint to learn how the AI landscape is evolving and the implications this will have for the future of work and organizational strategies at large.

Secure Coding

Learn key concepts for securing software applications so you can protect sensitive data, prevent security breaches, and ensure the reliability and trustworthiness of software products. 

Unsupervised Machine Learning

Explore three key concepts and practices of unsupervised machine learning—dimensionality reduction, association rules, and clustering and learn how they can be used to discover patterns and similarities in unlabelled data sets without human intervention.

Digital Transformation

This eight-week course addresses the impact that technology is having on our workforce, and helps you discover new technologies and develop a plan for their integration into your workplace


All technology programs and courses

AI and Business Strategy

Join Dr. Joël Blit and Dr. Jimmy Lin for this three-part executive sprint to learn how the AI landscape is evolving and the implications this will have for the future of work and organizational strategies at large.

Basics of Modern Statistics and Analysis

Understand hypothesis testing and multivariate regression models. Learn to conduct statistical analysis through the construction of scripts using R. Great for professionals who are new to coding.

Behavioural Insights, Modelling, and Predictive Analytics

Discover multivariate regression models, forecasting, and better understand the data analysis tools needed for effective, well-informed decision-making. Some prior knowledge of R and statistics is recommended.

Big Data Management Systems and Tools

Gain hands-on experience using up-to-date database management systems and tools. Learn about NoSQL technologies and big data tools including Hadoop, Spark, and Cassandra.

ChatGPT and the LLM Revolution

Join Dr. Jimmy Lin for this three-part executive sprint where you will learn about large language models (LLMs) and the transformative impact they can have on your organization. Unlock the full potential of LLMs by understanding where, when, and how LLMs can be applied to your organization.

Data Analytics for Behavioural Insights

Establish foundational knowledge in statistical analysis and gain essential programming skills with Python and R. Designed for beginners with no prior coding or analytics experience.

Data Science

Learn advanced statistical modelling, machine learning, and big data tools. Course content covers the seven domains of INFORMS' Certified Analytics Professional (CAP) certification.

Digital Transformation

This eight-week course addresses the impact that technology is having on our workforce, and helps you discover new technologies and develop a plan for their integration into your workplace

Foundations of Data Science

Understand the basic techniques, evolution, and promise of data science. Build hands-on skills in programming languages such as Python and SQL. Prior experience with Python is recommended.

Foundations of Large Language Models

Gain a comprehensive understanding of the latest techniques, tools, and applications of LLMs so you can build better applications or processes. Prior experience with Python, API endpoints, and machine learning libraries is required.

Machine Learning

Equip yourself with basic machine learning and AI tools for mining datasets, and extracting insights for decision-making. 

Python for Machine Learning: The Essential Starter Kit

Perfect for beginners and professionals! This course is designed to introduce you to machine learning tools in Python.

Python and Public Data

Learn modern technologies and programming techniques in Python and discover how to use data to draw meaningful insights. Great for beginners.

Secure Coding

Learn key concepts for securing software applications so you can protect sensitive data, prevent security breaches, and ensure the reliability and trustworthiness of software products. 

Statistics for Data Science

Explore probability and descriptive statistics, and cover data analysis from both classical and contemporary viewpoints. Learn to extract insight from datasets.

Supervised Machine Learning

Gain practical, hands-on experience using Python to implement and evaluate supervised learning algorithms to draw relevant insights and solve problems.

Unsupervised Machine Learning

Explore three key concepts and practices of unsupervised machine learning—dimensionality reduction, association rules, and clustering and learn how they can be used to discover patterns and similarities in unlabelled data sets without human intervention.