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Finance: High-Performance Computing in Finance

Learn to use Mathematica's financial derivatives functions, including CUDA, the use of SymbolicC for GPU creation, stochastic differential equations, and more in this Wolfram Training on-demand course.

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Channels: Finance Training Courses

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Samuel Chen
For financial analysts, it takes a considerable amount of effort to gather and validate data, perform statistical or pricing analysis, and generate reports that are easily understood by clients or management. This Wolfram Training on-demand course demonstrates an integrated workflow that starts with financial data and then analyzes it with built-in finance and statistical functions to produce conclusions and recommendations that can be easily exported to a financial report.
Michael Kelly
The data analysis, modeling, and visualization aspects of Wolfram Finance Platform are explored in this Wolfram Training on-demand course. You'll also learn how to create interactive tools for analyzing and presenting your findings.
Michael Kelly
Learn to use Mathematica's financial derivatives functions, including CUDA, the use of SymbolicC for GPU creation, stochastic differential equations, and more in this Wolfram Training on-demand course.
Samuel Chen
Statistical methods provide a powerful tool for analyzing and drawing conclusions from financial data. This Wolfram Training on-demand screencast showcases the application of probability, distribution, and statistical analysis to financial data.
Samuel Chen
With customized financial examples such as discounted cash flows and mortgage valuation, this Wolfram Training course introduces the mathematics of time value and the built-in Mathematica functions that make calculations quick and easy.