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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

    • T

      Tecnológico de Monterrey

      ChatGPT - Usos y Estrategias

      Skills you'll gain: ChatGPT, Prompt Engineering, Data Ethics, Artificial Intelligence, Productivity, Generative AI, Creativity, Ethical Standards And Conduct, Innovation, Natural Language Processing, Critical Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      968 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Containers w/ Docker, Kubernetes & OpenShift

      Skills you'll gain: Istio, Kubernetes, Cloud-Native Computing, Containerization, OpenShift, Docker (Software), Application Deployment, CI/CD, Command-Line Interface, YAML, Microservices, Scalability

      4.4
      Rating, 4.4 out of 5 stars
      ·
      966 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Learn English

      Skills you'll gain: Intercultural Competence, Cultural Diversity, Mental Health, Learning Strategies, Culture, Stress Management, Liberal Arts, English Language, Social Sciences, Literacy, Language Learning, Economics, Interpersonal Communications, Psychology, Writing, Research, Business Management, Grammar, Higher Education, Oral Comprehension

      4.3
      Rating, 4.3 out of 5 stars
      ·
      934 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Advancing Women in Tech

      Real-World Product Management

      Skills you'll gain: Product Roadmaps, Product Management, Customer Retention, Cross-Functional Team Leadership, Professional Networking, Financial Analysis, Product Strategy, Technical Product Management, Product Requirements, Product Development, Financial Statement Analysis, Product Lifecycle Management, New Product Development, Innovation, Team Leadership, Artificial Intelligence and Machine Learning (AI/ML), User Experience Design, Performance Management, Interviewing Skills, Branding

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      898 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Financial Accounting Explained

      Skills you'll gain: Financial Reporting, Financial Statements, Accounting Software, Financial Accounting, Financial Statement Analysis, Bookkeeping, Accounting Records, General Accounting, Generally Accepted Accounting Principles (GAAP), Balance Sheet, Income Statement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      98 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Sustainable Cities

      Skills you'll gain: Architectural Design, Building Codes, Community Development, Land Development, Public Works, Landscape Architecture, Transportation Operations, Civil Engineering, Environmental Engineering, Building Design, Economic Development, Land Management, Water Resources, Environment, Geographic Information Systems, Environment and Resource Management, Construction, Environmental Science, Environmental Issue, Pollution Prevention

      4.6
      Rating, 4.6 out of 5 stars
      ·
      419 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Prompt Engineering with Llama 2&3

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Open Source Technology, Secure Coding, Computer Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      36 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IE Business School

      Globalization, Economic Growth and Stability

      Skills you'll gain: Financial Policy, International Finance, Public Policies, Economics, Economic Development, Economics, Policy, and Social Studies, Market Opportunities, Business Economics, International Relations, Tax, Global Marketing, Policy Analysis, Socioeconomics, Demography, Business Risk Management, Crisis Management, Fiscal Management, Supply And Demand, Analysis, Financial Systems

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Excel

      Skills you'll gain: Excel Macros, Prompt Engineering, Microsoft Excel, Data Cleansing, Excel Formulas, Pivot Tables And Charts, Microsoft Copilot, Dashboard, Forecasting, Data Presentation, Data Storytelling, Data Processing, Data Visualization Software, Data Manipulation, Data Visualization, Predictive Modeling, Data Quality, Statistical Analysis, Data Transformation, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      101 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Project Management (PT)

      Skills you'll gain: Quality Management, Backlogs, Project Closure, Project Planning, Sprint Retrospectives, Project Scoping, Team Leadership, Project Management Life Cycle, Agile Project Management, Communication Planning, Continuous Improvement Process, Process Improvement, Project Management, Project Management Software, Change Control, Project Controls, Project Schedules, Agile Methodology, Requirements Analysis, Change Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Mindware: Critical Thinking for the Information Age

      Skills you'll gain: Data Analysis, Statistics, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Probability, Correlation Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Algorithms, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      554 reviews

      Intermediate · Course · 1 - 3 Months

    Financial Engineering learners also search

    Financial Management
    Financial Analysis
    Financial Modeling
    Financial Accounting
    Financial Trading
    Finance
    Financial Planning
    Business Finance
    1…545556…387

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

    • ChatGPT - Usos y Estrategias: Tecnológico de Monterrey
    • Introduction to Containers w/ Docker, Kubernetes & OpenShift: IBM
    • Learn English: Tsinghua University
    • Real-World Product Management: Advancing Women in Tech
    • Financial Accounting Explained: Coursera Project Network
    • Sustainable Cities: Johns Hopkins University
    • Prompt Engineering with Llama 2&3: DeepLearning.AI
    • Globalization, Economic Growth and Stability: IE Business School
    • Microsoft Excel: Microsoft
    • Google Project Management (PT): Google

    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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