Program Overview

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Certificate in Data Analytics

The Certificate in Data Analytics is designed for managers, analysts, and professionals looking to tackle big data challenges and apply advanced analytics techniques to drive smarter business decisions. This hands-on program focuses on building practical Python coding skills.

Program Details

Format

• Online
• Weekly sessions

Duration/Timing

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

Dates

• Fall 2025:
  • Module 1 | Oct 31 & Nov 7, 2025
  • Module 2 | Nov 14 & 21, 2025
  • Module 3 | Nov 28 & Dec 5, 2025

Program Fee

• 2025: $1700 + HST
• 2026: TBD

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.

The Power of Python

Data is growing at an unprecedented rate, making it essential for professionals to analyze and interpret it effectively. 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: Coding experience is not required, but some familiarity with analytics and technical concepts is helpful, as the program is fast-paced.
• Real-World Application: Gain practical skills you can apply immediately in your role through a post-program assessment.

Module Details

Module 1 • Exploratory Data Analysis & Data Visualization

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

Module 2 • Data Cleaning & Manipulation

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

Module 3 • Supervised & Unsupervised Machine Learning

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.

Registration & Application Guidelines

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 submit it as instructed.
  • If accepted, you will receive a confirmation email with instructions on how to proceed with registration and payment.

Payment and Funding Options

• The full deposit fee is required at the time of application. Payment can be made through the application link via credit card.
• 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.

FAQs

What is the format of the program?

All of our programs are offered entirely online using Zoom (a free basic account is required). There is no in-person component.

What does the program fee include?

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.

How much time should I expect to commit each week?

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.

Does this program include an assessment?

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.

Do I receive a certificate upon completion?

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.

Cancellation Policy

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