Introduction to Data Science for Fintech
When: Sunday 26 June
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. As a result, financial companies have been on an innovation and technology push to create new, disruptive technologies that can maximize use of the these data assets to solve some of the industry’s toughest problems.
This one day, hands on course provides a structured teaching environment where students learn classic data science methods, which are used as the bases for many financial technologies. At the end of the workshop, course participants will have applied the Python programming language and essential data science techniques to solve complex finance problems.
Places are limited and they will be allocated on a first-come first-served basis.
You can find the full course outline here.
Please note that you must have taken an introductory Python programming course before attending this workshop.
Participants need to complete the free lessons of units 1 - 8 of the follwing course: Code Academy - Python
You must be familiar with the following concepts before joining the live class:
Conditionals & Control Flow
Lists and Dictionaries