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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

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT + Excel: AI-Enhanced Data Analysis & Insight

      Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, ChatGPT, Excel Macros, Excel Formulas, Data Synthesis, Microsoft Excel, Productivity, Infographics, Data Visualization, Spreadsheet Software, Data Analysis, Generative AI, Artificial Intelligence, Data Cleansing, Large Language Modeling, Interactive Data Visualization, Data Import/Export, Statistical Reporting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT + Zapier: AI-Powered Email Mastery

      Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Microsoft Power Automate/Flow, Calendar Management, Organizational Skills, Gmail, Generative AI, Artificial Intelligence, Large Language Modeling, HubSpot CRM, Business Process Automation, Google Sheets, Google Workspace, Data Integration, Automation, Creative Thinking, Ingenuity, Google Docs, Workflow Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Cloud Application Development Foundations

      Skills you'll gain: Node.JS, Cloud Computing Architecture, Server Side, Cloud-Native Computing, React Redux, Cloud Services, NoSQL, MongoDB, React.js, Agile Methodology, Front-End Web Development, JavaScript Frameworks, Cloud Security, Cloud Technologies, Hypertext Markup Language (HTML), HTML and CSS, Restful API, Web Development, Web Development Tools, Back-End Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Management

      Skills you'll gain: Strategic Sourcing, Lean Six Sigma, Lean Manufacturing, Demand Planning, Procurement, Supplier Relationship Management, Forecasting, Process Improvement, Supplier Management, Operations Management, Customer Demand Planning, Purchasing, Production Process, Supply Management, Operational Efficiency, Warehouse Management, Supply Chain Planning, Inventory and Warehousing, Inventory Management System, Transportation, Supply Chain, and Logistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Back-End Developer

      Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Database Design, Unit Testing, Algorithms, Web Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Introduction to Genetics and Evolution

      Skills you'll gain: Life Sciences, Molecular Biology, Biology, Biostatistics, Bioinformatics, Environment, Laboratory Research, Taxonomy, Scientific Methods, Experimentation, Mathematical Modeling

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Master Microsoft Office 365 and Power Platform

      Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Microsoft Outlook, Data Integration, Business Intelligence, Business Process Automation, Productivity Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Arizona State University

      AI Foundations: Prompt Engineering with ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Data Ethics, Generative AI, Ideation, Creativity, Research

      4.1
      Rating, 4.1 out of 5 stars
      ·
      72 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Basics of Electrical Protection System

      Skills you'll gain: Electrical Systems, Electrical Power, Electric Power Systems, Electrical Equipment, Electrical Safety, High Voltage, Basic Electrical Systems, Low Voltage, Electrical Engineering, Three-Phase, Failure Analysis, Engineering Calculations

      4.5
      Rating, 4.5 out of 5 stars
      ·
      57 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Business Analytics with Excel: Elementary to Advanced

      Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Microsoft Excel, Business Analytics, Risk Analysis, Business Process Modeling, Business Modeling, Data Modeling, Resource Allocation, Statistical Analysis, Process Optimization, Financial Analysis, Predictive Analytics, Transportation Operations, Complex Problem Solving, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Electricity and Magnetism

      Skills you'll gain: Basic Electrical Systems, Electrical Engineering, Torque (Physics), Physics, Electrical Systems, Engineering Analysis, Electronic Components, Mechanics, Electronic Systems, Mathematical Modeling, Applied Mathematics, Engineering Calculations, Calculus, Advanced Mathematics, Trigonometry, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      210 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Reading Financial Statements

      Skills you'll gain: Financial Statement Analysis, Annual Reports, Financial Statements, Financial Analysis, Financial Reporting, Accounting, Management Reporting, Income Statement, Balance Sheet, Business, Corporate Finance, Business Risk Management, Cash Flows

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 3 Months

    Financial Engineering learners also search

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    Financial Modeling
    Financial Accounting
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    Financial Planning
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    1…202122…380

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

    • ChatGPT + Excel: AI-Enhanced Data Analysis & Insight: Vanderbilt University
    • ChatGPT + Zapier: AI-Powered Email Mastery: Vanderbilt University
    • Cloud Application Development Foundations: IBM
    • Supply Chain Management: Rutgers the State University of New Jersey
    • Meta Back-End Developer: Meta
    • Introduction to Genetics and Evolution: Duke University
    • Master Microsoft Office 365 and Power Platform: Microsoft
    • AI Foundations: Prompt Engineering with ChatGPT: Arizona State University
    • Basics of Electrical Protection System: L&T EduTech
    • Business Analytics with Excel: Elementary to Advanced: Johns Hopkins University

    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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