Jun 11, 08:30 AM - 04:30 PM (PT)
Associated with CFA Society Vancouver
Online Course
DESCRIPTION During this hands-on course, participants will work with Python and several popular packages to create programs that acquire, consolidate, analyze and present large data sets. Whether originated from websites or internal databases, this course will demonstrate core techniques to efficiently manage and explore business data through interactive dashboards. (Course length 7 hrs) For a full course outline, please view: Python for Finance Professsionals - 2024 Course Information Prerequisites A general understanding of programming principles and Python is recommended for this course. The course material will build on the content of “Python 1: Core Data Analysis”. Although not required, participants will benefit from having taken “Python 2: Visualization and Analysis”. Participants should be familiar with Python packages and their installation.
You will be required to download and install Anaconda or an equivalent Python distribution – links provided in advance of the course.
Course Presenter
BOGDAN TUDOSE Director, Co-Head of Data Science & Senior Instructor The Marquee Group, Training the Street
Course Provider
The Marquee Group is Canada’s leading provider of financial modelling training programs. Since 2002, Marquee has trained thousands of professionals globally at financial institutions, corporations, professional organizations and universities. Their core modelling, valuation, Excel, and data sciences courses are standard training at numerous major banks and business schools. Marquee’s principals are experienced financial practitioners with investment banking, equity research and management backgrounds who are passionate about teaching. Learn more ...
Registration
COURSE FEES: Members | Candidate Members $429 ( Early Bird – until May 21) $489 (May 22 - June 6) Candidates | Non-Members $599 ( Early Bird – until May 21) $699 (May 22 - June 6) Due to the interactive nature of this class, there is a max capacity of 18 participants.
Registration Deadline: June 6, 2024 – 11:59 pm (PT) - Subject to space availability
Details
WHEN
June 11, 2024 8:30 a.m. - 4:30 p.m. (PT)
WHERE
Virtual - Zoom Details sent 2 business days prior to the session