The certificate program is comprised of four courses, designed and developed to be
taken in order for natural progressive learning. These four courses are 12 weeks in
length each and they offer a fully online learning experience, with instructor support,
weekly webinars, peer networking, and group assignments. It is designed for working
professionals who need to fit their learning around a busy schedule. As such, there
is no requirement to attend synchronous sessions and you can work on them at a time
that is convenient for you to complete the assignments.
You will complete weekly text-based modules in Jupyter notebooks and complete practical
assignments (individual and group), which provide opportunities to practice coding
and working with data as you learn. In addition, there are recorded presentations
by guest lecturers, who talk about current issues in the field of data science. You
will showcase your learning by completing assignments and major projects that are
relevant to tasks you need to master as a data science professional.
Note: Students need to commit 8 - 12 hours per week for each of the Data Science courses.
You have three years from the start date of your first course to complete the certificate.
It is recommended that you the courses in the following order:
1. Foundations of Data Science
2. Statistics for Data Science
4. Big Data Management Systems and Tools
Interested in taking a graduate program?
The Master of Data Science and Artificial Intelligence is a coursework program designed
to meet the growing global demand in the fields of Data Science and Artificial Intelligence.
Currently, the two program options include full-time co-op and part-time regular (non-co-op).
Receive a certificate from the University of Waterloo
Upon successful completion of all four courses, you will receive a professional education
certificate from the University of Waterloo.
- 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.
A degree in Engineering, Mathematics, or Computer Science is recommended, but not
required. Basic knowledge of programming and programming languages is strongly recommended.
- 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.
Larry Simon, MBA
Founder and Managing Director, Inflection Group
Larry Simon is an entrepreneur, management consultant, and angel investor, specializing
in IT strategy and data analytics. He has over 30 years of experience advising startups,
global corporations, and government institutions. He is the founder and managing director
of Inflection Group. Prior to this he was a partner with Ernst & Young Consulting,
their CTO and national director of their strategy and delivery centres.
He has previously served on the faculty of the Rotman School of Management, as the
head judge of the Canadian Information Productivity Awards (CIPA), and as a councillor
of the Institute of Certified Management Consultants of Ontario. Larry holds an MBA
from the University of Toronto and a B.Math (Computer Science) from the University
of Waterloo.