Certificate in Data Analytics

Overview

Newly updated curriculum!
Unlock the power of data and turn insights into action with the Certificate in Data Analytics. This hands-on program builds practical Python skills to tackle big data challenges and drive smarter business decisions. The program curriculum has recently been updated to place greater emphasis on foundational Python and introduces GenAI tools for data analysis, visualization, and machine learning.

Program Details 


Format


  • Online
  • Weekly sessions

Duration/Timing


  • 6 weeks
  • Fridays
  • 9 am – 12 pm (EST)

Dates


Module 1 | Oct 16 & 23, 2026
Module 2 | Oct 30 & Nov 6, 2026
Module 3 | Nov 13 & 20, 2026

Participant Profile Image

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.


Ready to unlock the power of data and make smarter, data-driven decisions in your career Registration is open for Fall 2026!


Turning Data into Decisions with Python and GenAI 

As data continues to grow at an unprecedented rate, the ability to analyze and interpret it is essential. Many managers, however, struggle to keep pace as competitors use analytics to gain a strategic edge. This program enables you to effectively apply Python and GenAI tools to transform data into meaningful insights, drive business value, and make confident, well-informed decisions.

Data - What You'll Learn image

What You'll Learn

In this hands-on program, you’ll explore:

  • Big data challenges and how to overcome them
  • Core Python programming for data analysis
  • Data preparation, visualization, and exploratory analysis techniques
  • Supervised machine learning fundamentals
  • Use of GenAI tools to support coding and data tasks, and transform data into actionable insights

 

 

How You'll Learn

  • Python-Powered, Guided Learning: All three modules integrate Python, with step-by-step instruction to build from foundational skills to more advanced applications.
  • No Coding Experience Required: While prior coding experience isn’t needed, some familiarity with analytics and technical concepts is helpful given the program’s pace.
  • Real-World Application: Gain practical skills you can practice through a post-program assessment.
Data: How You'll Learn image

Key Topics

  • Build a strong foundation in Python basics with dedicated time for core concepts
  • Work with data using libraries such as pandas and NumPy
  • Develop confidence in writing and understanding Python code for data tasks

Key Topics

  • Clean and wrangle data by addressing missing values, outliers, and inconsistencies
  • Transform and prepare data for analysis
  • Create visualizations and perform exploratory data analysis (EDA)
  • Begin using GenAI tools to support data exploration and analysis

Key Topics

  • Apply supervised learning techniques using Python and scikit-learn
  • Build and evaluate classification models
  • Understand how machine learning supports real-world decision-making
  • Use GenAI as a coding collaborator, including prompt engineering and responsible use of AI tools

Meet the Faculty 


Gerhard Headshot

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.
  • Academic Director, Master of Management Analytics and Master of Management Analytics - AI for Business Professionals at Rotman.
  • Most recent courses taught include Big Data Analytics for the Master of Management Analytics (MMA) program at Rotman 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


 

How to Register


 

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; 

  • U of T or IMIx alumni
  • Individuals eligible for a special offer (e.g., Early Bird or Team Discount)
  • Teams of three or more participants from the same organization
  • Groups of two or more individuals enrolling together (e.g., friends or family)

Visit our Funding and Financial Support page for more information.

Cancellation Policy

If you are no longer able to attend a program, requests must be sent via email 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.

Group registrations are paid in advance and cannot be cancelled. However, participants may be substituted at any time before the program begins, provided the substitute meets the admission criteria.

 

Questions about our Data Analytics program?


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