Skip to main contentSkip to main navigationSkip to footer content
Courses and Programs for

Data Science, Data Analytics, and AI

 

 

 

Get started with Data Science and Analytics! Featured Programs and Courses Register for Upcoming workshops Don't know where to start? Compare programs and courses

Explore data science, data analytics, and AI courses and programs from Canada's top tech university

Whether you're a seasoned professional looking to stay ahead of the curve, or an aspiring data scientist aiming to break into the industry, WatSPEED's comprehensive range of data science, data analytics, and AI courses empower you to harness the power of data like never before.

From understanding big data tools and techiques to adopting large language models into your work, our programs provide the knowledge and skills necessary to thrive amidst an ongoing data and tech revolution.

Access knowledge from world-renowned professors, researchers, and industry leaders from the University of Waterloo. Browse WatSPEED's data science and data analytics courses and certificate programs.

Featured programs and courses

Python I

Designed for beginners or professionals! Take this course if you want to learn Python as a stepping stone for future learning and development goals.

$599.00

Next start date: February 2, 2026

Python 2: Data Science and AI Applications

Master intermediate Python skills with libraries like NumPy, Pandas, Matplotlib, and Seaborn to drive data analysis, visualization, and advance your career in data science and AI.

$599.00

Next start date: March 23, 2026

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.

$1,199.00 per course

Next start date: January 26, 2026

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.

$895.00 per course

Next start date: October 9, 2025

Python for Health Data

Gain the analytical acumen to support evidence-based decision-making and drive meaningful improvements in Canada’s health systems. 

$895.00

Next start date: October 9, 2025

(NEW!) Artificial Intelligence Certificate

Gain advanced, hands-on training in machine learning, neural networks, and MLOps, designed for developers, engineers, and data professionals seeking to build and scale real-world AI systems.

Certificate Program

Launching soon! Sign up to get notified about program updates

Register for upcoming events

Towards Trustworthy AI: Cybersecurity and Privacy Concerns

Join our free webinar on October 24, 2025 to explore how to systematically understand cybersecurity and privacy threats against AI systems and how to mitigate them. Perfect for cybersecurity professionals, data scientists, and business leaders, this session will equip you with practical strategies to make AI safer, fairer, and more resilient. 

Free

October 24, 2025

Tech Horizons Executive Forum

The Tech Horizons Executive Forum, brought to you by WatSPEED and hosted by CIBC, is a one-day exclusive event for senior leaders seeking to thrive and stand out in the ever-evolving world of technology and business. 

$949.00

November 10, 2025

 

 

 

Compare data science, analytics, and AI courses and programs

WatSPEED's data programs are designed to help professionals in the public and private sectors gain valuable skills to support career advancement, innovation, and decision-making. They offer you an opportunity to gain a competitive edge by learning modern data tools and techniques. Based on your interest and experience, choose from the following courses and certificates:

 

 
Data Analytics for Behavioural Insights Certificate Prgram
Data Science Certificate Program 
Python for Machine Learning: The Essential Starter Kit
Who should enrol
  • Policymakers and analysts.
  • Public servants, non-profit and community leaders.
  • Public service organizations.
  • Business associates, operations managers, project managers, and intelligence analysts.
  • Finance, securities, and insurance professionals.
  • Digital marketing and communication specialists.
  • Professionals from every level or industry who work with analytics or data.
  • Great for those without experience with Python!
  • Aspiring data analysts or data scientists looking to build essential machine learning skills and grow their toolkits.
  • Programmers and developers looking to add Python to their list of programming languages.
  • Statisticians who are new to machine learning.
Required experience
  • Prior mathematics and statistics experience are recommended, but not required. 
  • A degree in engineering, mathematics, or computer science is recommended, but not required.
  • Basic knowledge of programming and programming languages is strongly recommended.
  • Basic coding skills in any programming language (it does not need to be Python)
  • Post-secondary level statistics and calculus may be helpful but are not required.
Length 24 weeks (Note: This program includes three eight-week courses)
  • 48 weeks (Note: This program includes four 12-week courses)
  • 8 - 10 hours per week (per course)
  • Seven weeks (up to five hours per week)
Courses 

Also learn about:
Format
  • Online learning with live, weekly Q&A sessions.
  • Online learning with weekly live sessions.
  • Online course with independent learning and live drop-in sessions
What you will learn
  • Use basic methods of coding to conduct statistical analysis with R and Python.
  • Draw behavioural insights to tell effective stories that support decision-making.
  • Draw conclusions to impact your decision-making and policy development.
  • Analyze data with the statistical methods used by social scientists.
  • Explore the evolution of data science and predictive analytics.
  • Know statistical concepts and techniques including regression, correlation, and clustering.
  • Apply data management systems and technologies that reflect concern for security and privacy.
  • Adopt techniques and technologies including data mining, neural network mapping, and machine learning.
  • Represent big data findings visually to aid decision-makers.
  • Explain the practical benefits and uses of machine learning.
  • Create a machine learning portfolio in Jupyter Notebook to show potential employers.
  • Identify key components of data preparation in machine learning.
  • Gain hands-on experience with some of Python's packages and libraries.
  View the Data Analytics for Behavioural Insights program webpage and download a brochure. Visit the Data Science program webpage and download a brochure. Visit the Python for Machine Learning webpage and download a brochure.

 

You may also be interested in:

Python I

 

Python 2: Data Science and AI Applications

 

Machine Learning Program

 

ISC2 Official CISSP Certification Training

 

Workshop | Cybersecurity Best Practices: A Foundation in Standards and Frameworks

 

Back-End Development Certificate