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    • Financial Engineering

    Financial Engineering Courses Online

    Master financial engineering for designing financial products and managing risk. Learn about derivatives, quantitative modeling, and financial markets.

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    Explore the Financial Engineering Course Catalog

    • I

      Insper

      Administração Financeira

      Skills you'll gain: Financial Statement Analysis, Financial Analysis, Capital Budgeting, Financial Accounting, Income Statement, Balance Sheet, Profit and Loss (P&L) Management, Return On Investment, Finance, Capital Expenditure, Financial Management, Accounting, Cash Flows, Cost Accounting, Expense Management, Operating Expense, Investments, Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      918 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Regression Analysis, Descriptive Statistics, Statistical Inference, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Introduction to Software Testing

      Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Code Coverage, Software Quality Assurance, Functional Testing, Testability, Integration Testing, Test Data, Issue Tracking

      4.4
      Rating, 4.4 out of 5 stars
      ·
      783 reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      Technical University of Denmark (DTU)

      Introduction to solar cells

      Skills you'll gain: Semiconductors, Electrical Engineering, Electrical Power, Electronic Systems, Basic Electrical Systems, Emerging Technologies, Mathematical Modeling, Energy and Utilities, Environmental Issue, Simulation and Simulation Software, Manufacturing Processes, Systems Of Measurement, Engineering Calculations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Feature Engineering, Mobile Development, Data Transformation, JSON, Applied Machine Learning, Data Sharing, Javascript, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Universiteit Leiden

      International Law In Action: Investigating and Prosecuting International Crimes

      Skills you'll gain: Court Systems, Legal Proceedings, Adjudication, Legal Strategy, Criminal Investigation and Forensics, Political Sciences, International Relations, Litigation and Civil Justice, Appeals, Case Law, Policty Analysis, Research, and Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      708 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Introduction to Business

      Skills you'll gain: Search Engine Marketing, Business Planning, Financial Statements, Keyword Research, Business Strategy, Digital Marketing, People Development, Strategic Leadership, Online Advertising, Search Engine Optimization, Leadership and Management, Content Marketing, Leadership Development, Accounting, Cash Flows, Financial Forecasting, Income Statement, Organizational Strategy, Profit and Loss (P&L) Management, Social Media Strategy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      652 reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion

      Skills you'll gain: Mechanics, Mechanical Engineering, Engineering Analysis, Structural Engineering, Engineering, Physics, Civil Engineering, Calculus, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      743 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Digital Manufacturing & Design

      Skills you'll gain: Digital Transformation, Manufacturing Processes, Manufacturing Operations, Industrial Engineering, Business Transformation, Digital Design, Data-Driven Decision-Making, Product Lifecycle Management, Supply Chain, Market Dynamics, Safety and Security, Workforce Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Introduction to Python

      Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computational Thinking, Computer Programming, Application Development, Scientific Visualization

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Classes and Inheritance

      Skills you'll gain: Object Oriented Programming (OOP), JSON, Object Oriented Design, Unit Testing, Python Programming, Maintainability, Debugging, Software Testing, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Intuit

      Liabilities and Equity in Accounting

      Skills you'll gain: Payroll, Payroll Administration, Payroll Processing, Payroll Tax, Sales Tax, Balance Sheet, Accounting, Accounts Payable, Financial Accounting, General Accounting, Equities, Bookkeeping, General Ledger, Mortgage Loans, Loans, Tax Compliance

      4.4
      Rating, 4.4 out of 5 stars
      ·
      741 reviews

      Beginner · Course · 1 - 4 Weeks

    Financial Engineering learners also search

    Financial Management
    Financial Analysis
    Financial Modeling
    Financial Accounting
    Financial Trading
    Finance
    Financial Planning
    Business Finance
    1…525354…387

    In summary, here are 10 of our most popular financial engineering courses

    • Administração Financeira: Insper
    • Practical Time Series Analysis: The State University of New York
    • Introduction to Software Testing: University of Minnesota
    • Introduction to solar cells: Technical University of Denmark (DTU)
    • TensorFlow: Data and Deployment: DeepLearning.AI
    • International Law In Action: Investigating and Prosecuting International Crimes: Universiteit Leiden
    • Introduction to Business: University of California, Irvine
    • Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion: Georgia Institute of Technology
    • Digital Manufacturing & Design: University at Buffalo
    • Introduction to Python: Coursera Project Network

    Skills you can learn in Finance

    Investment (23)
    Market (economics) (20)
    Stock (18)
    Financial Statement (14)
    Financial Accounting (13)
    Modeling (13)
    Corporate Finance (11)
    Financial Analysis (11)
    Trading (11)
    Evaluation (10)
    Financial Markets (10)
    Pricing (10)

    Frequently Asked Questions about Financial Engineering

    Financial engineering is an interdisciplinary field that combines applied mathematics, statistics, and computer science to guide investment decisions. While finance has always emphasized quantitative analysis, today’s technology has made it possible to apply these approaches at an unprecedented scale and speed. Massive datasets are now delivered via hardwired internet connections into financial modeling programs built in software like Solver in Microsoft Excel, or even machine learning tools created through Python programming or other techniques.

    The power of financial engineering has made it incredibly important for trading, portfolio optimization and risk management, valuation of derivatives and real options, and a host of other purposes at virtually all of today’s largest financial institutions. Indeed, it has been estimated that as much as 80% of the activity on the U.S. stock market today is computer-led algorithmic trading, making the use of financial engineering absolutely essential to competitiveness in the market.

    By automating financial decision-making, these approaches have unquestionably created enormous value for the firms deploying them. However, the prominence of financial engineering has caused some economists to question whether it is contributing to market volatility during financial turbulence, including the COVID-19 crisis, even if many others claim that it has a positive effect on market liquidity. Regardless, financial engineering is here to stay, making it a critical topic to understand for any finance professional.‎

    Today, any career in finance requires at least a familiarity with financial engineering. Whether you go to work at an investment bank, a hedge fund, an insurance company, or in government treasuries or regulatory agencies, these techniques will continue to shape the landscape of your job. Thus, understanding how to use financial engineering approaches and how they impact financial problems is a valuable asset regardless of your role in this industry.

    If you have a particular talent for applied mathematics and computer science, you can pursue a lucrative career in financial engineering yourself, as quantitative analysts or “quants” are some of the most highly sought after professionals in the industry. “Back office” quants generally build and validate complex financial engineering tools, while “front office” quants work directly with traders to help them deploy the pricing and trading tools they need.‎

    Absolutely. Coursera offers a wide range of courses in financial engineering as well as related areas of this interdisciplinary field, including business, computer science, and mathematics and statistics. These courses as well as multi-course Specializations are offered by some of the top undergraduate and business schools in the country, including Columbia University, Yale University, and the University of Pennsylvania.

    In addition to being able to learn remotely on your own schedule, these courses are also available at a significantly lower tuition than their on-campus counterparts. Thus, you won’t need a spreadsheet to determine that learning about financial engineering online is a smart investment in your future, whether you’re just starting your career or are an experienced finance professional looking to update your understanding of this vital topic.‎

    The skills and experience that you might need to already have before starting to learn financial engineering include a healthy knowledge of mathematics, statistics, economics, and computer science. These aspects come together in financial engineering, which uses financial theory to solve financial problems and to create new financial products. As you begin to learn about financial engineering, you’ll see that a background or knowledge in data science and data management is also very important for the work involved in areas like statistics, indices, quadratic equations, functions, and graphs. Knowing how to use your mathematics and statistics knowledge in building financial models could also be a benefit to learning financial engineering.‎

    The kind of people that are best suited for work that involves financial engineering are those who are data geeks, quantitative analysts, and other numbers-focused practitioners. These people may have already gained experience and skills from working in corporate finance, risk management, stock trading, and financial regulation. Being comfortable with spreadsheets, financial theories, computer programming, and financial models is likely a key requisite for work that involves financial engineering. Aside from these hard skills that are required, the kind of persons best suited for financial engineering work might also be analytically-minded, with a keen attention to details, and the ability to extract and communicate complex statistical information into common-sense problem solving.‎

    You might know if learning financial engineering is right for you if you have interest and knowledge of financial theories and financial methods. Having a quantitative analysis background and numbers-focused skills may help you find a career in financial engineering. If you’re the person who reads financial statements and digs into computer-based financial models to figure out financial strategies, then becoming involved with work in financial engineering may be a great fit for you. Combining all your knowledge of data and statistics in this area may help you to achieve future success in financial engineering jobs.‎

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

    When looking to enhance your workforce's skills in Financial Engineering, 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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