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Apply probabilistic modeling to finance, risk analysis, and data science using Excel, Python, and R. Master simulation techniques through specialized courses on Corporate Finance Institute, DataCamp, and edX for data-driven decision making.
Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.
Stock Market, Bonds, Markowitz-Portfolio Theory, CAPM, Black-Scholes Model, Value at Risk and Monte-Carlo Simulations
Learn to use Python, Pandas, Matplotlib, and the QuantConnect Lean Engine to perform financial analysis and trading
A complete data analysis course using the tools you already have.
Learn to calculate Customer Lifetime Value using DCF & advanced models & use it to increase the company’s profitability
Master correlation functions, spectral analysis, and Monte Carlo simulation techniques for understanding and modeling random processes in engineering systems, with focus on practical applications and data analysis.
Explore optimization techniques for agile supply chains, including capacity and resource optimization, Monte Carlo simulations for risk mitigation, and practical Excel applications.
Master ChatGPT in Finance. Learn Advanced Data Analysis Tool, Plugins, and Sentiment Analysis
Develop VBA skills through hands-on projects, from basic to advanced, including Monte Carlo simulation. Optional Grade Manager project for Honors designation.
Complete Guide To Scenario Analyses (What-if) and Monte Carlo Simulation in Microsoft Excel -Business Analytics
Using Python, Machine Learning, and Deep Learning in Financial Analysis with step-by-step coding (with all codes)
Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy.
Learn to implement Monte Carlo simulations in Python, exploring various betting strategies and analyzing results through statistical methods and data visualization.
Using interactive brokers' python API client to implement options trading strategies
Explore methods to incorporate uncertainty in marketing decisions, including Monte Carlo simulations and probability distributions, to anticipate outcomes and make informed choices.
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