UofT SCS Data Analytics Boot Camp

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Classes begin quarterly

Learn Data Analytics in 24 Weeks Online

We are committed to preparing our online data analytics learners for success. With the rise of data in today’s economy, our program focuses on teaching learners the practical and technical skills needed to analyze and solve complex data problems through an innovative online learning format.

Our course is designed to give you the flexibility you need to balance your work-life schedule while providing you with the structure and support you need to be successful in achieving your career goals. 

Our online data analytics course offers live, interactive virtual classes led by skilled instructors.

Our industry-driven curriculum teaches you the most in-demand data skills through real-world examples. Everything you learn is immediately applicable to a professional environment.

Why choose our data analytics program?

  • You will receive a UofT SCS Certificate of Completion* from our online data analytics program after studying part-time over 24 weeks.
  • The curriculum covers relevant tools and technologies including Intermediate Excel Functions, Python, JavaScript, HTML5/CSS, API Interactions, SQL, Tableau, Fundamental Statistics, Machine Learning, Git/GitHub, and more.*
  • Projects align with real-world datasets from various industry data fields like Financial Services, Human Resources, Healthcare, and Government.
  • You will receive the same level of support as our in-class experience including instructors, assistant instructors, learner success team, free tutor network, and more.
  • You will benefit from the support provided by career services during the program and up to three months after program completion

*Please note that the boot camp is not a School of Continuing Studies certificate program.

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This fast-paced, dynamic program covers the specialized skills for the booming field of data, including: Intermediate Excel Functions, Python, JavaScript, HTML/CSS, API Interactions, SQL, Tableau, Fundamental Statistics, Machine Learning, Git/GitHub, and more.

You’ll learn from skilled instructors and gain real-world experience by collaborating with your peers on complex projects. Not only that, but you will also build a comprehensive portfolio along the way, giving you the confidence you need to tap into the industry. The data analytics curriculum will dive into the foundational skills for data analytics, including:

Intermediate Excel Functions

  • Pivot Tables
  • VBA Scripting

Fundamental Statistics

  • Modeling
  • Forecasting

Python Programming

  • Python 3
  • NumPy
  • Pandas
  • Matplotlib
  • API Interactions


  • PostgreSQL
  • MongoDB
  • Extract-Transform-Load (ETL)

FrontEnd Web Visualization

  • HTML
  • CSS
  • Bootstrap
  • Dashboarding
  • JavaScript Charting
  • Geomapping with Leaflet.js

Business Intelligence Software

  • Tableau

Advanced Topics

  • Big Data Analytics with Hadoop
  • Machine Learning

*The material covered is subject to change. Our academic team adjusts to the market demand.

Those who complete the online data analytics program can qualify for a number jobs including: 

  • Looks at large amounts of information to glean data-driven insights using a variety of coding, statistics, and tools.
  • Employs advanced skills that include those of data analysts, data engineers, and more! They focus on machine learning and algorithm development for modeling trends and forecasting the future.
  • Uses Excel and Powerpoint to create reports around key business questions and develop strategies based on macro trends in the data.
  • Designs, installs, tests and maintains software systems with popular programming languages like Python.

You’re a data professional and want to further your career by gaining a new set of technical skills.


You’re looking to switch careers and aspire to transition into a new field as a data professional.


You’re currently in a business where data is crucial to the bottom line and want to make a bigger impact.

How to Apply

  1. Form Submission. Fill out our program interest form with a few of your key details so we can get in touch with you.
  2. Admissions Interview and Application. Connect with a member of our admissions team for a quick phone interview to discuss the program in more detail, answer your questions, and talk through your goals. Then, fill out a short application that tells us more about you and your reasons for pursuing this opportunity. 
  3. Assessment. Complete a multiple-choice critical thinking and problem-solving assessment. This is your chance to show us your logic-based skills. No prior industry experience is required to complete the assessment. If you pass your academic assessment (Congratulations!), you are officially accepted into the program and able to move forward with the enrollment process.
  4. Financial Options, Deposit, and Enrollment Agreement. After acceptance into the program, you will connect with admissions to discuss which financial option works best for you. Once you’ve approved your desired payment method, the last step to finalize your enrollment is to pay your deposit and review and sign your enrollment agreement.

Start Your Journey. That’s it! You’re now ready to begin your program pre-work and prepare to start the boot camp.

Part-Time Online Data Analytics Program

  • 24-week online format
  • Study part-time while maintaining your existing professional, educational or personal obligations
  • Learn through live online classes three days per week and real-world projects
  • Dedicate 9 hours of scheduled in-class time per week and a minimum of 20+ hours outside of class on hands-on projects and practice work

Currently Enrolling:

Coding Boot Camp

  • Part-Time August 5, 2024
  • Full-Time September 16, 2024

Data Boot Camp

  • Part-Time August 26, 2024

Cybersecurity Boot Camp

  • Part-Time October 7, 2024

UX/UI Boot Camp

  • Part-Time Soon

Digital Marketing Boot Camp

  • Part-Time August 12, 2024

Our data analytics boot camps in Toronto and Mississauga are held online. Call us at (647) 370-3829 for more information on how to apply, or visit our Online Experience page to learn more.

No, applicants to UofT SCS Data Analytics Boot Camp do not need to be University of Toronto students. This program is offered through the University of Toronto School of Continuing Studies.

No programming experience is required. It is recommended that applicants hold a Bachelor’s Degree or have at least two years of experience in business, management, finance, statistics, or a related field.

Throughout the boot camp, you’ll obtain a wide-range of knowledge and get experience with technologies and tools including intermediate Excel Functions, fundamental statistics, Python programming, databases, web technologies and data visualization, business intelligence software, machine learning, Tableau, and much more. Check out our curriculum page to view a weekly breakdown of each topic. 

Investing in your education is a big step. In addition to payment plans, we offer a variety of financial options.

  • Individuals who pay the tuition in full by the early registration deadline are eligible for a $1,000 early registration discount.* 
  • University of Toronto Alumni receive a benefit that can be used up to 60 months (five years) following convocation. For more information, please visit https://help.learn.utoronto.ca/hc/en-us/articles/235795308-What-is-the-Alumni-Benefit-discount-* 
  • UofT SCS Comparative Education Service (CES) clients are eligible for a $200 course discount.* To learn more, please contact an admissions officer.

*Discounts cannot be combined and have no cash value. 

Contact an admissions officer at (647) 370-3829 or fill out the form below if you’re ready to learn more about UofT SCS Data Analytics Boot Camp.

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