Loading...

Description

Overview 

If you want to work in the growing field of data science, and have some prior knowledge and experience of basic programming, this course is for you.

You'll learn how to help organizations leverage the increasing variety and volume of data they own or can find on the Internet. You'll explore the evolution of the fields of data science and predictive analytics. You'll learn up-to-date techniques for data retrieval, preparation, analysis and visualization. Through hands-on exercises and group assignments, you'll build critical programming skills you can use in subsequent courses in the certificate program.

This course is developed in partnership with the School of Continuing Studies at the University of Toronto.

Who Should Enroll 

  • 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

What you will learn 

  • Understand the basic techniques, evolution and promise of data science.
  • Build hands-on skills in programming languages such as Python and SQL.
  • Extract data from databases, websites, and social media.
  • Store, clean, and analyse data using Pandas.

Course Details 

The courses in this certificate program cover most of the body of knowledge of INFORM's Certified Analytics Professional (CAP) Certification.

Weekly webinars review key concepts and provide an opportunity for live interaction and Q&A with the instructors. The webinars will be recorded so if you are unable to attend you can watch the webinar recording at a time that is convenient to you

Academic requirements

  • A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.
  • Need to brush up on your programming skills? Take our Introduction to Python 3 six week online course.

System requirements

  • Anaconda/Jupyter (software that you are required to install)
  • Waterloo LEARN
Loading...
Enroll Now - Select a section to enroll in
Section Title
Foundations of Data Science
Type
Online
Dates
Sep 29, 2025 to Dec 22, 2025
Course Fee(s)
Course Fee non-credit $1,199.00
Required fields are indicated by .