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Learn Monte Carlo Simulation, earn certificates with free online courses from Harvard, Stanford, MIT, University of Pennsylvania and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to use Python, Pandas, Matplotlib, and the QuantConnect Lean Engine to perform financial analysis and trading
Learn to calculate Customer Lifetime Value using DCF & advanced models & use it to increase the company’s profitability
A complete data analysis course using the tools you already have.
Using Python, Machine Learning, and Deep Learning in Financial Analysis with step-by-step coding (with all codes)
Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.
Learn how to build financial models in Excel and VBA for different financial topics
Learn about Greeks, American Options, and Volatility.
Leverage Monte Carlo simulations in HEC-RAS for probabilistic dam breach analysis, enhancing risk management and decision-making in the face of aging infrastructure and climate uncertainties.
Comprehensive exploration of probability, random variables, processes, and vibrations in structural dynamics, covering theory and applications in earthquake engineering and system failure analysis.
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Explore AI and ML applications in materials engineering, from basic concepts to advanced techniques for accelerated material design, property optimization, and autonomous experiments.
Learn to design and run your own Monte Carlo simulations using Python!
Explore traditional and nonlinear environmental models, simulation techniques, and software applications. Gain practical skills in MATLAB and Octave for analyzing complex ecological systems and pollutant transport.
Explore probability theory, reliability methods, and simulation techniques for structural design. Learn to analyze implicit limit states, calibrate codes, and handle multiple failure modes.
Explore polymer physics through statistical-mechanical, thermodynamic, and continuum theories. Develop conceptual understanding of theoretical and simulation methods for studying polymeric materials.
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