Computational investing courses can help you learn quantitative analysis, algorithmic trading strategies, financial modeling, and risk management techniques. You can build skills in data analysis, portfolio optimization, and backtesting investment strategies. Many courses introduce tools like Python, R, and various financial libraries, showing how these skills apply to real-time market data and investment decision-making.

New York University
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Risk Modeling, Financial Modeling, Portfolio Management, Model Optimization, Market Dynamics, Machine Learning, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Risking, Generative Model Architectures, AI Security, OpenAI, AI Product Strategy, Investment Management, Data Ethics, Technology Strategies, Asset Management, Investments, Portfolio Management, Market Data, Business Ethics, Customer experience improvement, Operational Efficiency
Beginner · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Training, Forecasting, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, AI Integrations, Applied Machine Learning, AI Workflows, Data Pipelines, Artificial Neural Networks, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Financial Data, Financial Analysis, Financial Statement Analysis, Workflow Management, Competitive Intelligence, Data-Driven Decision-Making, Financial Statements, Text Mining, Market Intelligence, AI Integrations, Trend Analysis, Unstructured Data, Investment Management, Financial Market, Data Capture, Analysis, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Statistical Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Statistical Modeling, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Model Training, Machine Learning, Derivatives, Tensorflow
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Shiny (R Package), Application Deployment, UI Components, Server Side, Secure Coding, User Interface (UI), Application Lifecycle Management, Authentications, Interactive Data Visualization, User Interface (UI) Design, Software Development Life Cycle, Back-End Web Development, Interactive Design, Authorization (Computing), Application Development, Security Controls, Web Applications, R (Software), Development Environment
Beginner · Course · 1 - 4 Weeks

New York Institute of Finance
Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Model Optimization, Markov Model, Securities Trading, Model Deployment, Risk Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Shiny (R Package), FinTech, Wealth Management, Financial Market, Financial Trading, R (Software), Financial Planning, Technical Analysis, Financial Forecasting, Statistical Programming, Financial Management, Securities (Finance), Financial Services, Advanced Analytics, Asset Management, Financial Analysis, Financial Data, Market Trend, Artificial Intelligence, Market Data
Beginner · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Market Dynamics, Risk Modeling, Financial Modeling, Machine Learning Methods, Applied Machine Learning, Credit Risk, General Lending, Machine Learning
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Financial Data, Data Literacy, Storytelling, Data Visualization Software, Financial Acumen, Client Services, Visual Storytelling, Process Flow Diagrams, Data Analysis, Presentations, Finance, Analysis, Diagram Design, Communication, Communication Strategies, Customer Engagement, Prompt Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Data Ethics, Data Governance, Workflow Management, No-Code Development, Financial Data, Accounting and Finance Software, Artificial Intelligence, Financial Management, Generative AI, Automation, Financial Forecasting, Financial Regulation, Finance, Financial Reporting, Data Management, Financial Analysis, Accounting, Strategic Decision-Making, Securities (Finance)
Advanced · Course · 1 - 4 Weeks