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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
      C

      Columbia University

      Construction Management

      Skills you'll gain: Project Schedules, Construction Management, Construction Estimating, Project Finance, Cost Estimation, Punch Work, Project Risk Management, Bidding, Building Information Modeling, Scheduling, Cost Control, Environment Health And Safety, Project Closure, Lean Methodologies, Real Estate, Cash Flows, Construction, Business Transformation, Innovation, Architecture and Construction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Business Foundations

      Skills you'll gain: Operations Management, Return On Investment, Operational Efficiency, Financial Statements, Financial Statement Analysis, Human Capital, Go To Market Strategy, Process Analysis, Branding, People Management, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Balance Sheet, Consumer Behaviour, Human Resource Strategy, Marketing Planning, Peer Review, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Corporate Finance

      Skills you'll gain: Return On Investment, Capital Budgeting, Financial Modeling, Financial Analysis, Financial Planning, Corporate Finance, Business Valuation, Financial Management, Asset Management, Cash Flows, Risk Analysis, Cash Flow Forecasting, Working Capital

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Product Manager

      Skills you'll gain: Usability Testing, New Product Development, Product Management, Product Lifecycle Management, Agile Software Development, Product Development, Innovation, Product Roadmaps, Agile Methodology, Kanban Principles, Product Planning, Product Strategy, Product Testing, Project Management Life Cycle, Agile Project Management, User Story, Stakeholder Engagement, Sprint Retrospectives, Stakeholder Management, Competitive Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Financial Services

      3.7
      Rating, 3.7 out of 5 stars
      ·
      814 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Foundational Finance for Strategic Decision Making

      Skills you'll gain: Market Data, Loans, Finance, Microsoft Excel, General Finance, Corporate Finance, Mortgage Loans, Financial Analysis, Equities, Investments, Financial Market, Business Valuation, Investment Management, Capital Budgeting, Capital Markets, Financial Modeling, Financial Management, Business Mathematics, Financial Planning, Cash Flows

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      BI Essentials for Finance Analysts (Power BI Edition)

      Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Snowflake Schema, Data Modeling, SQL, Business Intelligence, Dashboard, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Import/Export, Business Reporting, Databases, Interactive Data Visualization, Data Storytelling, Financial Statements, Data Analysis Software, Data Manipulation, Data Analysis, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      185 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Financial Management

      Skills you'll gain: Mergers & Acquisitions, Working Capital, Revenue Recognition, Financial Statements, Credit Risk, Accrual Accounting, Financial Analysis, Investments, Corporate Finance, Business Valuation, Cash Flows, Financial Accounting, Financial Statement Analysis, Bookkeeping, Financial Management, Income Statement, Business Ethics, Finance, Return On Investment, Portfolio Management

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Financial Management

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Return On Investment, Risk Management, Balance Sheet, Accounts Receivable, Business Risk Management, Credit Risk, Income Statement, Stakeholder Communications, Operational Risk, Resource Allocation, Proposal Development, Cash Management, Accounts Payable, Key Performance Indicators (KPIs), Capital Budgeting, Financial Analysis, Cash Flows, Financial Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      148 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    Mathematical Finance learners also search

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    1234…128

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

    • Construction Management: Columbia University
    • Python for Data Science, AI & Development: IBM
    • Business Foundations: University of Pennsylvania
    • Introduction to Corporate Finance: University of Pennsylvania
    • IBM Product Manager: IBM
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Machine Learning and Reinforcement Learning in Finance: New York University
    • Foundational Finance for Strategic Decision Making: University of Michigan
    • BI Essentials for Finance Analysts (Power BI Edition): Corporate Finance Institute
    • Financial Management: University of Illinois Urbana-Champaign

    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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