Be at the forefront of the data science revolution. Transform your professional skills and your future with this upskilling certificate from the Data Sciences Institute at the University of Toronto.
On a global scale, society is experiencing a transformative shift in the production, collection, and use of data. There is significant demand for data science expertise. Learn to extract meaningful insights from data. No previous data science experience is required.
Why choose the Data Sciences Institute at the University of Toronto?
The University of Toronto is a global leader in data sciences. Organizations today need skilled professionals, capable of analyzing large amounts of data, uncovering useful insights, and defining the story hidden in the numbers. This could be you!
The DSI Data Science Certificate includes the unique opportunity to learn from private-sector experts during the case studies in each course.
This certificate is designed to help professionals, without any previous technical experience, succeed in careers where data science skills are increasingly in demand.
Read more about why DSI and this course may be right for you.
What You Will Learn
You will learn and understand how to apply the core competencies in foundational data science, mastering popular data analysis tools including SQL, R, and Python, as well as gaining hands-on experience through real-world case studies.
Courses include Data Science Foundations, Introduction to R, Introduction to Python, Data Storage and Access, Sampling, Estimation, Testing and Learning, Visualization, and Causal Inference.
The DSI Data Science Certificate includes the unique opportunity to learn from private-sector experts during the case studies in each course. The case study component provides you with important insights into the professional world of data science analytics.
You have the option to choose a single course to improve your skills in a specific area or earn a full certificate.
The only prerequisite for the DSI Data Science Certificate and courses is a completed post-secondary degree in a field outside of computer science or statistics. No previous data science experience is required. Each course includes both an instructor and an assistant instructor, ensuring that you have the in-class support you need.