Search result for Master of science in computational finance Online Courses & Certifications
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Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
8 Weeks
Candidate in Computer Science at Stanford University. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. in Computer Science from Stanford University. Ernest Ryu is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Madeleine Udell is a PhD candidate in Computational and Mathematical Engineering at Stanford University....
Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
8 Weeks
Candidate in Computer Science at Stanford University. , summa cum laude, in Mathematics and Computer Science from the University of Pennsylvania and an M. in Computer Science from Stanford University. Ernest Ryu is a PhD candidate in Computational and Mathematical Engineering at Stanford University. Madeleine Udell is a PhD candidate in Computational and Mathematical Engineering at Stanford University....
Financial Engineering and Risk Management Part II
by Martin Haugh , Garud Iyengar- 4.7
Approx. 17 hours to complete
Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods. But perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism. Risk-free Frontier in Excel...
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
Approx. 18 hours to complete
This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics....
Financial Engineering and Risk Management Part I
by Martin Haugh , Garud Iyengar- 4.6
Approx. 18 hours to complete
Financial Engineering is a multidisciplinary field drawing from finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part I will be on the use of simple stochastic models to price derivative securities in various asset classes including equities, fixed income, credit and mortgage-backed securities. Floating Rate Bonds and Term Structure of Interest Rates...
FRM Part 2 - Book 1 - Market Risk (Part 2/2)
by Analyst Prep- 0.0
3.5 hours on-demand video
Master of Science in Finance PhD in Finance (minor in Economics, two PhD level courses in Econometrics) James Forgan, PhD, summarizes the last 7 chapters from the Market Risk Measurement and Management book so you can learn or review all of the important concepts for your FRM part 2 exam. The Science of Term Structure Models...
$12.99
Data Analysis: Statistical Modeling and Computation in Applications
by Stefanie Jegelka , Caroline Uhler , Karene Chu- 0.0
15 Weeks
-- Part of the MITx MicroMasters program in Statistics and Data Science. Learners will be guided to analyze a real data set from each of these areas of focus, and present their findings in written reports. This course is part of the MITx MicroMasters Program in Statistics and Data Science....
$300
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FRM Part 2 - Book 2 - Credit Risk (Part 1/2)
by Analyst Prep- 4.1
7 hours on-demand video
Master of Science in Finance PhD in Finance (minor in Economics, two PhD level courses in Econometrics) James Forgan, PhD, summarizes the first 9 chapters from the Credit Risk book so you can learn or review all of the important concepts for your FRM part 2 exam. Capital Structure in Banks...
$12.99
FRM Part 2 - Book 1 - Market Risk (Part 1/2)
by Analyst Prep- 4.7
5 hours on-demand video
James Forjan has taught graduate and post-graduate finance classes for over 25 years and has also co-authored college-level investment books. BS in Accounting Master of Science in Finance PhD in Finance (minor in Economics, two PhD level courses in Econometrics) Empirical Properties of Correlation: How Do Correlations Behave in the Real World?...
$12.99
FRM Part 2 - Book 2 - Credit Risk (Part 2/2)
by Analyst Prep- 0.0
7 hours on-demand video
Master of Science in Finance PhD in Finance (minor in Economics, two PhD level courses in Econometrics) James Forgan, PhD, summarizes the first 9 chapters from the Credit Risk book so you can learn or review all of the important concepts for your FRM part 2 exam. The Evolution of Stress Testing Counterparty Exposures...
$12.99