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Python 1: Core Data Analysis

March 16 @ 8:30 am - March 17 @ 12:30 pm


During this hands-on course, participants will gain the skills needed to develop Python programs to solve typical Finance problems, cutting through the noise of generic “Data Science” courses. Participants will be introduced to best-practices programming in Python to clean, analyze, and visualize financial data.

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PLEASE NOTE that this session will be offered as a webinar and all course times are EST. This session will take place over two days: Mar 16 from 8:30am – 12:30pm and Mar 17 from 8:30am – 12:30pm.

Who Will Benefit

This seminar is designed for anyone who wish to learn and improve their programming skills and automate tasks in financial roles. Participants will learn best practices to clean, manipulate, analyze and visualize financial data.


CFA Society Toronto is hosting this session and are therefore managing registrations. You do not need to be a member of the society to attend, however, non-members may need to pay a higher price. To register please click here. To visit CFA Toronto’s website, please click here.

If you have any difficulty registering, please contact:

Dawn Wong



Special Instructions

  • Participants will be sent a link in advance of the course and must use their computer to participate.
  • In advance of the course, Python 3.8 and your preferred IDE (Integrated Development Environment) should be installed to run the code
  • Participants do not require prior programming knowledge but a general understanding of programming principals is recommended


March 16 @ 8:30 am
March 17 @ 12:30 pm
Event Tags:
Course Category
Python 1: Core Data Analysis


CFA Society Toronto
(416) 366-5755, ext. 226