Learn to analyze financial data and statistics, forecast financial predictions, and execute real-world, predictive financial analysis projects (including querying financial data using R and Python) to provide evidence-based financial decision-making.
No previous background is required.
This is an Open Admission program to help you advance or change your career. Those who successfully complete this 3 course program are eligible to earn a Professional Development Award from The G. Raymond Chang School of Continuing Education.
What Will You Learn?
Learn how to:
- Utilize applied and theoretical statistics for financial predictive analytics projects using SAS, SQL, R, and Python.
- Execute up-to-date techniques in statistical and financial predictive querying and analyses of complex data, techniques at the centre of a technical skill set that is sought after in almost any field and across all sectors – private, public, and non-profit.
This short course series is an excellent complement to the skills you may already possess as a professional.
Who Should Enrol?
This program is designed for those who are aspiring to be financial analysts or data analysts seeking the knowledge and skills relevant to work, and advance their careers in the field of financial predictive analytics and data science.
Who Teaches the Courses?
Our instructors are selected through a highly competitive process and are expert practitioners in industry.
Industry and Careers
For those aspiring to be or are already working as:
- Financial Analysts
- Data Analysts
- Applied Statisticians
Recommended Course Sequence
Students may only select one of CIND 123, CMTH 304, or CMTH 380.
Students may only select one of CMTH 404 or CMTH 480.
Term 1 (Select two)
Course Series Requirements
- Successful completion of 1 required course
- Successful completion of 2 electives
Questions? Contact Anne-Marie Brinsmead, Program Director.