This course uses Python 3 via Anaconda Distribution. Participants must download and install the latest version of Anaconda Distribution to work through the course. Anaconda comes with Python, Spyder text editor, Jupyter Notebook, and many popular libraries.
This course is geared for financial analysts, portfolio analysts, quantitative analysts, risk managers, or anyone who works with large financial datasets or complex models. No prior programming knowledge or experience is required.
Course Objectives
- By the end of the course, participants will be able to:
- Define and work with different types of variables
- Use looping to efficiently repeat certain actions
- Incorporate logic in your code
- Use the power of Python to quickly and efficiently work with big data
Suggested Prerequisites: None
Program Level: Foundational
Advance Preparation: Download and install Anaconda Distribution from https://www.anaconda.com/download/
Computers and Financial Calculators: Laptops are required during the training
Recommended CPE Credits: 7