Artificial Intelligence for Trading
Course Report
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Course Features
Duration
6 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Advanced
Effort
10 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
Virtual Labs
Job Assistance
Personlized Teaching
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
The Artificial Intelligence for Trading Nanodegree program is designed for students with intermediate experience programming with Python and familiarity with statistics, linear algebra and calculus
In order to successfully complete this program, you should meet the following prerequisites
Python programming
Basic data structures
Basic Numpy
Statistics
Mean, median, mode
Variance, standard deviation
Random variables, independence
Distributions, normal distribution
T-test, p-value, statistical significance
Calculus and linear algebra
Integrals and derivatives
Linear combination, independenceMatrix operations
Eigenvectors, eigenvalues
What You Will Learn
Learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management Use Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization
Basic Quantitative Trading
Factor Investing and Alpha Research
Sentiment Analysis with Natural Language Processing
Advanced Natural Language Processing with Deep Learning
Simulating Trades with Historical Data
Target Students
Quantitative analyst
Quantitative researcher
Investment analyst
Data intelligence analyst
Risk analyst
Desk quant
Desk strategist
Financial engineer
Financial data scientist
Course Instructors
Corporate Sponsors
Course Reviews
Average Rating Based on 6 reviews
100%