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Use Data to Guide Financial Decision Making
Next start date:
September 30, 2020
Financial data analytics has become a highly effective tool for making financial decisions and calculating risk. In this program, we’ll learn how to analyze financial data using statistical techniques and how to leverage the powerful financial data modeling and analysis capabilities of popular programming languages. You’ll also learn the analytical tools and numerical algorithms of machine learning to perform statistical analysis on financial data.
Professionals with a background in basic statistics and probability and experience in a programming language or those who’ve completed the Certificate in Quantitative Fundamentals of Computational Finance.
By completing this certificate program, you can earn up to 12 credits toward degree requirements should you later be accepted into the Master of Science in Computational Finance & Risk Management.
For more information, visit the Certificate in Financial Data Analytics page on the Computational Finance & Risk Management website.
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Examine the mathematical, statistical and econometric principles that underlie the quantitative management of financial investments.
Explore the key mathematical, statistical and econometric foundations of modern computational finance. Study the major concepts and theories of portfolio optimization and risk management.
Gain valuable knowledge and skills relating to portfolio optimization, financial data science, quantitative risk management, simulation, machine learning and R programming.
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