About
Financial data science is a constantly growing field, so is the demand for those able to apply suitable data science tools to finance. The ultimate aim of this course is to equip students with the necessary skills so as to understand, analyze, and interpret data science tools applicable to finance. To this respect, the course is designed to introduce apply data science tools to model financial problems.
This course is the first step towards a better understanding of the finance world with the help of data science. The topics to be covered in this class are financial APIs, regression analysis for finance, time series analysis, time value of money, simulation analysis, modern portfolio theory, and the financial data science is a constantly growing field, so is the demand for those able to apply suitable data science tools to finance. The ultimate aim of this course is to equip students with the necessary skills so as to understand, analyze, and interpret data science tools applicable to finance. To this respect, the course is designed to introduce apply data science tools to model financial problems.
This course is the first step towards a better understanding of the finance world with the help of data science. The topics to be covered in this class are financial APIs, regression analysis for finance, time series analysis, time value of money, simulation analysis, modern portfolio theory, and the applicability of unsupervised learning in finance.
Prerequisites
Students must be enrolled in the Data Science Program. Other students may be admitted with instructor permission. Students are expected to have beginner-level Python programming experience.
Curriculum
- Introduction to Main Financial Concepts
- Accessing the Financial Data Sources via APIs and Regression Analysis: A Quick Review
- Capital Asset Pricing Model and Arbitrage Pricing Model
- Modern Portfolio Theory and Best Risk-Return Portfolio: Theoretical Overview
- Forming the Portfolio with Best Risk-Return Trade-off
- Time Series Analysis: Theoretical Overview
- Time Series Analysis: Application
- Net Present Value and Internal Rate of Return
- Monte Carlo and Simulation Analysis: Theoretical Overview
- Monte Carlo and Simulation Analysis in Finance
- Making Sense of Unsupervised Learning in Finance: A Quick Overview
- Dimension Reduction and Clustering in Finance
- Anomaly Detection in Finance
Schedule
Start learning the AI in Finance with outside of business hours schedule!
The 12 hours of schedule is as follows:
April 12 – 19 – 26 and May 3
Sundays, from 9:00 am to 12:00 pm
Online
AI in Finance Specialized Bootcamp is now also available online. Anyone who wants to attend this mini bootcamp can join online live webinars where the same course content will be taught. Online sessions will be distributed through zoom conferences. Students will have access to the screen of the instructor, external camera showing class atmosphere, whiteboard, and be able to ask questions through chat. You may attend this mini bootcamp no matter where you are.