Overview
Unlock the power of data and turn insights into action with the Certificate in Data Analytics. Focused on building practical Python coding skills, this hands-on program is designed for managers, analysts, and professionals looking to tackle big data challenges and apply advanced analytics techniques to drive smarter business decisions.
Program Details
Format
- Online
- Weekly sessions
Duration/Timing
- 6 weeks
- Fridays
- 9 am – 12 pm (EST)
Dates
Module 1 | Oct 31 & Nov 7, 2025
Module 2 | Nov 14 & 21, 2025
Module 3 | Nov 28 & Dec 5, 2025
Program Fee
$1,700 + HST
Learn about funding options and get a $200 early bird discount (until July 31st).
Participant Profile
This program is ideal for managers, data analysts, and professionals looking to drive business value with analytics and enhance decision-making. It’s also suited for those outside analytics roles who want to gain insight into this high-demand field.
If you match the participant profile, you may register directly to secure your spot.
Ready to take the next step in your career?
The Power of Python
Data is growing at an unprecedented rate, making it essential for professionals to analyze and interpret it effectively. Yet, many managers struggle to keep up as competitors increasingly leverage analytics for strategic advantage. This program equips you with the skills to harness data, drive business value, and make smarter decisions in an evolving, data-driven world.
What You'll Learn
In this hands-on program, you’ll explore:
- Big data challenges and how to overcome them
- Cutting-edge analytics techniques
- Methods for transforming data into actionable insights
How You'll Learn
- Python-Powered Learning: All three modules integrate Python, with participants coding alongside the instructor.
- No Coding Experience Required: While prior knowledge of analytics, statistics, or technical concepts is helpful, this program is designed to bring you up to speed in a fast-paced, interactive environment.
- Real-World Application: Gain practical skills you can apply immediately in your role through a post-program assessment.
Key Topics
- Investigate the variables
- Examine common applications involving the distributions of categorical variables and histograms of the numeric variables
- Explore the relationships among sets of variables
Key Topics
- Discover how to clean raw data by removing obsolete or redundant fields
- Learn techniques to address missing data and outliers
- Master the process of transforming variables to enhance projection accuracy
Key Topics
- Explore step-by-step, hands-on applications using Python and the Scikit-learn machine learning library
- Learn how to apply data mining techniques in supervised and unsupervised learning to real-world business problems
- Gain experience using widely available data sets for practical, real-world applications
Meet the Faculty
Gerhard Trippen, PhD, MSc
Associate Professor, Teaching Stream in Quantitative Methods and Operations in the Department of Management at the University of Toronto Mississauga (UTM), with a cross-appointment to the Operations Management and Statistics area at the Rotman School of Management.
Most recent courses taught include Big Data Analytics for the Master of Management Analytics (MMA) program at the Rotman School of Management as well as Big Data and Marketing Analytics in the undergraduate programs at Rotman and UTM.
As my first foray into programming, I could not have been more thrilled with the program. Dr. Trippen, with his wealth of experience and enthusiasm, was exceptional at demystifying the world of Python. The best part? The ability to apply concepts to my world of finance and immediately spend more time focusing on drawing insights from data.
Uzzam Misbah
Manager, Finance, Westlake Royal Building Products
Before beginning the application process, please review the participant profile to ensure eligibility. Our programs follow one of two pathways for enrollment: Direct Registration or Application Review.
Direct Registration Programs
These programs are open to all participants who meet the general eligibility criteria.
- Register online through the program page.
- Full payment is required at the time of registration.
- Enrollment is on a first-come, first-served basis.
Application Review Programs
These programs involve a review process to ensure alignment between participant goals and program outcomes.
- Programs requiring a review will indicate this in the Participant Profile section
- When a résumé or LinkedIn profile is requested, please email it to imi.executiveprograms@utoronto.ca.
- If accepted, you will receive a confirmation email with instructions on how to proceed with registration and payment.
Participant Notification Process
If space is available and eligibility requirements are met, you will receive an automatic confirmation and receipt from the application system once you have submitted a completed application and fee deposit. Program details, calendar invites, and additional instructions will be sent via email two weeks before the program's start date.
- The full deposit fee is required at time of application. Payment can be made through the application link via credit card. Please note that we do not accept cheque payments.
- Please note that all prices are quoted in Canadian dollars and subject to applicable taxes.
- IMIx certificate program dates, fees and faculty are subject to change. In the case that a program is canceled, you will be offered enrollment in either the same or any other future program or alternatively, a full refund.
Visit our Funding and Financial Support page for information on potential financial assistance options (i.e OSAP) and discounts for groups and alumni.
FAQs
All of our programs are offered entirely online using Zoom (a free basic account is required). There is no in-person component.
The program fee includes all modules and all necessary course materials, including any licensed content. There are no additional costs, Software access or online tools (if applicable) are also fully covered by the fee.
This course includes a weekly 3-hour instructor-led session. We also recommend that you spend 1–2 hours per week practicing on your own to reinforce what you’ve learned.
Yes. This program includes one mandatory assessment in the form of an assignment, which must be successfully completed to receive your certificate of completion. Full details will be provided by the instructor at the start of the program. Following the final session, participants will have 2–3 weeks to complete the assignment, which will be referred to as a capstone project.
A Certificate of Completion will be awarded to all participants who meet all program requirements, including attending at least 90% of the sessions. Certificates are mailed to participants, and a digital copy can also be provided via email upon request.
For programs that include an assessment component, the certificate is awarded upon successful completion of the required assessment activities. Assessments may include assignments, reflection essays, or a project, and are typically graded on a pass/fail basis.
Programs that include an assessment:
- Canadian Income Tax Practice
- Data Analytics
- Effective Healthcare Management
- Strategy & Critical Thinking
Programs that do not include an assessment:
- Effective Leadership for Senior Managers
- Pharma Challenges and Opportunities
- Governance & Ethics
- Effective Management of People
You may be eligible for a discount if you are;
- A group of 2 or more individuals enrolling together
- A U of T or IMIX alum
- Using a special offer code (i.e Early Bird Discount, Team Discount, etc.)
Visit our Funding Options page for more information.
Cancellation Policy
If you are no longer able to attend a program, requests must be sent in writing to imi.executiveprograms@utoronto.ca. The following options will apply:
- 21+ days notice: You will be eligible for a 100% refund
- 10+ days notice: You will be eligible for a 50% refund
- Less than 10 days notice: you will not be eligible for any refund
In any of the above cases, you will have the option to take a credit or transfer registration to another person.