Description

Paul F. MendeEgor Matveyev

Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational techniques in R.

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The techniques and tools covered in Mathematical Methods for Quantitative Finance are most similar to the requirements found in Data Scientist job advertisements.


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Techniques
AlgorithmsApplied MathematicsCorrelationData AnalysisData ModelingDistributionsEconometricsFinance AnalyticsForecastingFunctionsInferenceMonte Carlo SimulationsOptimizationProbabilityProgrammingQuantitative AnalysisRegressionStatistical AnalysisTime Series Analysis

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