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
Basic Numpy
Basic data structures
Calculus and linear algebra
Distributions, normal distribution
Eigenvectors, eigenvalues
In order to successfully complete this program, you should meet the following prerequisites
Integrals and derivatives
Linear combination, independenceMatrix operations
Mean, median, mode
Python programming
Random variables, independence
Statistics
T-test, p-value, statistical significance
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
Variance, standard deviation
What You Will Learn
Advanced Natural Language Processing with Deep Learning
Basic Quantitative Trading
Factor Investing and Alpha Research
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
Sentiment Analysis with Natural Language Processing
Simulating Trades with Historical Data
Target Students
Data intelligence analyst
Desk quant
Desk strategist
Financial data scientist
Financial engineer
Investment analyst
Quantitative analyst
Quantitative researcher
Risk analyst
Course Instructors