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Learn Quantitative Finance, earn certificates with paid and free online courses from MIT, Columbia University, University of Washington, IIT Kanpur and other top universities around the world. Read reviews to decide if a class is right for you.
Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational techniques in R.
MIT's online MicroMasters Program in Finance offers comprehensive training in modern finance, financial accounting, quantitative finance methods, and derivatives markets over 60 weeks.
Columbia University's 30-week course on financial engineering and risk management. Learn derivative pricing, asset allocation, portfolio optimization, and more in just 3 hours a week.
Learn quantitative analysis of financial data with HSE University's 17-week course. Dive into econometrics, financial modeling, and develop your own financial model.
The financial engineering of forwards, futures, swaps, and options, with Python tools for fixed income and options
Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations
Learn to implement algorithmic trading strategies using Interactive Broker's Python API in this 12-hour course. Gain skills in API trading, advanced Python, data extraction, strategy design, and more. Basic Python proficiency required.
Algorithmic Trading Masterclass - Learn Forex Trading - Stock Trading - Quantitative Finance - MQL - Cryptocurrency
Dive into Quantitative Finance with NPTEL's 19-hour program, covering a comprehensive range of lectures for a deep understanding of the subject.
Discover how machine learning can be used to solve financial data problems and create informative insights and predictions.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.
Learn to forecast market volatility and value-at-risk using GARCH models in R. Master model specification, estimation, validation, and application in financial decision-making. 4-hour course.
Tour the mathematics used to model the chaos of the financial markets.
Explore industry trends and techniques for portfolio management and active trading with Open Data Science. Learn from Dan Von Kohorn, co-founder of v2 Ratings, in under an hour.
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