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    • Mathematical Finance

    Mathematical Finance Courses Online

    Master mathematical finance for financial modeling and risk management. Learn to apply mathematical methods to solve problems in finance.

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    Explore the Mathematical Finance Course Catalog

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics, Course 1: Foundations of Robot Motion

      Skills you'll gain: Engineering, Mechanics, Mathematical Modeling, Torque (Physics), Simulation and Simulation Software, Matlab, Linear Algebra, Angular

      4.7
      Rating, 4.7 out of 5 stars
      ·
      991 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python for Finance: Beta and Capital Asset Pricing Model

      Skills you'll gain: Portfolio Management, Plotly, Data Visualization, Investment Management, Financial Analysis, Statistical Analysis, Financial Data, Risk Modeling, Market Data, Finance, Equities, Data Analysis, Pandas (Python Package), Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      45 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Linear Regression and Modeling

      Skills you'll gain: Regression Analysis, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Predictive Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part I: Logic

      Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Algorithms, Computer Engineering, Programming Principles, Mathematical Software, Graph Theory, Software Development Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      553 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Minnesota

      Fundamentals of Fluid Power

      Skills you'll gain: Hydraulics, Mechanical Engineering, Schematic Diagrams, Simulations, Engineering Analysis, Control Systems, Automation Engineering, Engineering Calculations, Mathematical Modeling, Physics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Financial Risk Management with R

      Skills you'll gain: Financial Market, Risk Management, Market Data, Risk Analysis, Probability Distribution, Financial Data, R Programming, Financial Modeling, Portfolio Management, Statistical Programming, Financial Analysis, Securities (Finance), Time Series Analysis and Forecasting, Probability & Statistics, Statistical Modeling

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      248 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Financial Accounting: Advanced Topics

      Skills you'll gain: Cash Flows, Financial Accounting, Financial Statements, Fixed Asset, Financial Reporting, Financial Analysis, Depreciation, Balance Sheet, Equities, Accounting, Asset Management

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      McMaster University

      Finance for Everyone

      Skills you'll gain: Peer Review, Finance, Financial Market, Financial Analysis, Cash Flows, Financial Modeling, Capital Markets, Investments, Derivatives, Business Valuation, Financial Policy, Equities, International Finance, Loans, Project Design, Market Dynamics, Risk Management, Credit Risk, Project Documentation, Stakeholder Engagement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Linear Algebra, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      718 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Geneva

      Particle Physics: an Introduction

      Skills you'll gain: Physics, Laboratory Equipment, Radiation Protection, Science and Research, Medical Imaging, Experimentation, Semiconductors, Research, Mathematical Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      948 reviews

      Mixed · Course · 1 - 3 Months

    • T

      The University of Melbourne

      Discrete Optimization

      Skills you'll gain: Operations Research, Combinatorics, Applied Mathematics, Graph Theory, Algorithms, Mathematical Modeling, Computational Thinking, Linear Algebra, Computational Logic, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      777 reviews

      Intermediate · Course · 1 - 3 Months

    Mathematical Finance learners also search

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    1…232425…128

    In summary, here are 10 of our most popular mathematical finance courses

    • Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
    • Python for Finance: Beta and Capital Asset Pricing Model: Coursera Project Network
    • Linear Regression and Modeling : Duke University
    • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign
    • Fundamentals of Fluid Power: University of Minnesota
    • Financial Risk Management with R: Duke University
    • Financial Accounting: Advanced Topics: University of Illinois Urbana-Champaign
    • Finance for Everyone: McMaster University
    • Machine Learning: Regression: University of Washington
    • Foundations of Data Science: K-Means Clustering in Python: University of London

    Frequently Asked Questions about Mathematical Finance

    Mathematical finance is a growing field that seeks to apply mathematical modeling and formulas to create financial pricing structures and resource values. It is the real-world application of theories and principles developed by economists. Using mathematical finance, a statistician could figure out how to increase values or learn insights on how to generate a higher profit in a particular financial model.

    Also known as financial mathematics or quantum finance, this emerging financial discipline uses elements of probability, economic theory, and statistics to analyze financial problems. People who work daily in finance and stock markets would use mathematical finance concepts to calculate market prices, quantitative investing strategies, and optimal rates of return."\‎

    Learning mathematical finance can help you gain knowledge about concepts like portfolio optimization, predictive modelling, machine learning, financial engineering, stock option pricing, and risk management. These subjects all form a part of understanding mathematical finance, and are in increasing use in financial business today.

    Additionally, knowing mathematical finance can also increase your chances of getting a good job in financial companies that use quantum finance in their core operations. This could include hedge funds, retail and commercial banks, investment banks, regulatory agencies, and investment management companies.‎

    With the knowledge you gain in mathematical finance, you can pursue various career opportunities in high finance, like an options trader, stock analyst, risk manager, or hedge fund manager. You will likely need a financial degree and maybe even a master's degree in a financial discipline to start in one of these jobs.

    The additional knowledge you'll gain by learning mathematical finance topics can help you to understand machine learning, artificial intelligence, and data science, all of which are used in combination with financial modeling practices in banks and other financial institutions.‎

    Taking online courses to learn mathematical finance can instill in you a strong grasp of emerging financial knowledge to advance in your field or gain a foothold in the financial industry. When you complete online courses about mathematical finance, you can become armed with new insights into linear regression, predictive modeling, hedge fund management, and optimal trading principles. This knowledge can give you the requirements to help you work in the financial industry. You can learn the cutting edge of new financial concepts and gain the insights to move your way into a high-paying financial opportunity.‎

    Online Mathematical Finance courses offer a convenient and flexible way to enhance your knowledge or learn new Mathematical Finance skills. Choose from a wide range of Mathematical Finance courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Mathematical Finance, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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