Introduction to Data Science & Python for Finance
Wednesday, May 15 - Thursday, May 16
Course Goals and Overview:
The amount of data available to organizations and individuals is unprecedented. Financial services sectors, including securities & investment services and banking, have the most digital data stored per firm on average. Finance companies that want to maximize use of this available data require professionals who have a keen understanding of data science and know how to use it to solve meaningful business challenges.
In day 1, you will learn the fundamentals of Python, and if you choose to attend Day 2 too, you will learn how to apply your newly acquired Python skills to conduct robust data science and analytics tasks on finance-related data sets.
No prior programming experience required for Day 1. Intro to Python is required for Day 2.