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    • Quantitative Finance
    Related topics:양적재무 모델링 및 분석거래알고리즘 트레이딩금융 공학추계학

    필터링 기준

    "quantitative finance"에 대한 46개의 결과

    • Columbia University

      Columbia University

      Financial Engineering and Risk Management

      획득할 기술: Accounting, Algebra, Analysis, Applied Mathematics, Audit, BlockChain, Calculus, Communication, Euler'S Totient Function, FinTech, Finance, General Statistics, Investment Management, Linear Algebra, Machine Learning, Markov Model, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Probability Distribution, Risk Management

      4.4

      (67개의 검토)

      Intermediate · Specialization

    • University of Pennsylvania

      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      획득할 기술: Accounting, Accounts Payable and Receivable, Analysis, Business Analysis, Data Analysis, Data Analysis Software, Design and Product, Entrepreneurship, Finance, Financial Accounting, Financial Analysis, Forecasting, General Accounting, General Statistics, Investment Management, Leadership and Management, Market Research, Marketing, Mathematics, Modeling, Probability & Statistics, Probability Distribution, Product Management, Product Marketing, Regression, Regression Analysis, Research and Design, Sales, Spreadsheet Software, Strategy, Strategy and Operations, Taxes

      4.5

      (14.4k개의 검토)

      Beginner · Specialization

    • Google Cloud

      Google Cloud

      Machine Learning for Trading

      획득할 기술: Artificial Neural Networks, Business Psychology, Cloud Computing, Cloud Platforms, Computer Programming, Entrepreneurship, Finance, General Statistics, Investment Management, Leadership and Management, Machine Learning, Marketing, Mathematics, Modeling, Probability & Statistics, Python Programming, Reinforcement Learning, Risk Management, Sales, Statistical Programming, Strategy, Strategy and Operations, Trading

      3.9

      (939개의 검토)

      Intermediate · Specialization

    • EDHEC Business School

      EDHEC Business School

      Investment Management with Python and Machine Learning

      획득할 기술: Accounting, Applied Machine Learning, Business Analysis, Computer Programming, Data Analysis, Data Mining, Finance, Financial Analysis, Investment, Investment Management, Leadership and Management, Machine Learning, Machine Learning Algorithms, Markov Model, Natural Language Processing, Probability & Statistics, Python Programming, Regression, Risk, Risk Management, Statistical Analysis, Statistical Programming

      4.6

      (1.5k개의 검토)

      Beginner · Specialization

    • Columbia University

      Columbia University

      Introduction to Financial Engineering and Risk Management

      획득할 기술: Mathematics, Machine Learning, Linear Algebra, General Statistics, Mathematical Theory & Analysis, Calculus, Applied Mathematics, Probability, Markov Model, Probability & Statistics, BlockChain, Algebra, Modeling, Probability Distribution, Finance, FinTech

      4.5

      (48개의 검토)

      Intermediate · Course

    • University of Pennsylvania

      University of Pennsylvania

      Fundamentals of Quantitative Modeling

      획득할 기술: Marketing, Regression Analysis, Strategy, Sales, General Statistics, Leadership and Management, Mathematics, Modeling, Market Research, Entrepreneurship, Regression, Product Marketing, Linear Regression, Probability Distribution, Probability & Statistics, Analysis, Design and Product, Probability, Product Management, Research and Design, Strategy and Operations, Linearity

      4.6

      (8k개의 검토)

      Mixed · Course

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      Rice University

      Rice University

      Investment and Portfolio Management

      획득할 기술: Accounting, Behavioral Economics, Business Analysis, Business Psychology, Data Analysis, Finance, Financial Analysis, Investment, Investment Management, Leadership and Management, Market (Economics), Probability & Statistics, Risk Management, Securities Trading

      4.5

      (2.2k개의 검토)

      Beginner · Specialization

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      Coursera Project Network

      Coursera Project Network

      Compare Stock Returns with Google Sheets

      획득할 기술: Financial Analysis, Risk Management, Business Analysis, Finance, Data Analysis, Analysis, Accounting, Stock, Leadership and Management

      4.4

      (530개의 검토)

      Beginner · Guided Project

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      New York Institute of Finance

      New York Institute of Finance

      Using Machine Learning in Trading and Finance

      획득할 기술: Risk Management, Machine Learning, Investment Management, Trading, Finance

      4.0

      (297개의 검토)

      Intermediate · Course

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      University of Pennsylvania

      University of Pennsylvania

      Decision-Making and Scenarios

      획득할 기술: Present Value, Balance Sheet, Corporate Accouting, Flow Network, Financial Analysis, Project, Accounting, Entrepreneurship, Cash Management, Accounts Payable and Receivable, Business Analysis, Financial Accounting, Decision Making, Data Analysis, Analysis, Cash Flow, Financial Statement, Leadership and Management

      4.6

      (1.7k개의 검토)

      Mixed · Course

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      무료

      Erasmus University Rotterdam

      Erasmus University Rotterdam

      Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital

      획득할 기술: Data Analysis, Sales, Financial Analysis, Mathematics, Mergers & Acquisitions, Accounting, Strategy, Decision Making, Leadership and Management, Strategy and Operations, Entrepreneurship, Business Analysis, Finance, Investment Management, Marketing, Game Theory

      4.6

      (1k개의 검토)

      Advanced · Course

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      University of Pennsylvania

      University of Pennsylvania

      Modeling Risk and Realities

      획득할 기술: Basic Descriptive Statistics, Risk Management, Data Model, General Statistics, Statistical Tests, Probability, Data Analysis, Business Analysis, Finance, Research and Design, Correlation And Dependence, Leadership and Management, Problem Solving, Entrepreneurship, Microsoft Excel, Analysis, Mathematical Optimization, Data Management, Statistical Analysis, Probability & Statistics, Simulation, Probability Distribution, Risk, Modeling, Spreadsheet Software

      4.6

      (2.1k개의 검토)

      Mixed · Course

    quantitative finance과(와) 관련된 검색

    finance & quantitative modeling for analysts
    1234

    요약하자면, 여기에 가장 인기 있는 quantitative finance 강좌 10개가 있습니다.

    • Financial Engineering and Risk Management: Columbia University
    • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
    • Machine Learning for Trading: Google Cloud
    • Investment Management with Python and Machine Learning: EDHEC Business School
    • Introduction to Financial Engineering and Risk Management: Columbia University
    • Fundamentals of Quantitative Modeling: University of Pennsylvania
    • Investment and Portfolio Management: Rice University
    • Compare Stock Returns with Google Sheets: Coursera Project Network
    • Using Machine Learning in Trading and Finance: New York Institute of Finance
    • Decision-Making and Scenarios: University of Pennsylvania

    Finance에서 학습할 수 있는 스킬

    투자 (23)
    시장(경제학) (20)
    주식 (18)
    재무제표 (14)
    재무 회계 (13)
    모델링 (13)
    기업 금융 (11)
    재무 분석 (11)
    거래 (11)
    평가 (10)
    금융 시장 (10)
    가격 (10)

    양적 재무에 대한 자주 묻는 질문

    • Quantitative finance is the methodology of applying disciplines from mathematics, statistics, scientific computing, and finance with computer programming to financial trading and investment work. Quantitative finance allows you to build financial models that can be used for pricing a range of financial assets, including financial derivative products. You can also automate trading processes using quantitative finance. Some models even allow for solo trading without a great deal of oversight. This is achieved by setting up risk inputs, and the computer program makes trades within the limits of the risk inputs.‎

    • It's valuable to learn quantitative finance as you can become knowledgeable about how to analyze investment decisions while balancing asset allocation with risk management. Having this basic understanding can help you with finances in your professional and personal life. Learning quantitative finance could put you into the major leagues of financial risk management. This knowledge may help you understand the price of securities and financial derivatives. Using concepts of quantitative analysis and quantitative finance can help investors and investment clients develop and make wise decisions about their investment strategies.‎

    • Typical careers that use quantitative finance include financial engineer, quantitative financial analyst, derivatives trader, asset manager, fund manager, and financial risk manager. Learning about quantitative finance might help you find work in commercial banks, investment banks, securities industry companies, wealth management firms, and hedge funds. Experts in quantitative finance are also highly sought by accountancy firms, insurance companies, management consulting firms, and financial software companies.‎

    • When you take online courses about quantitative finance on Coursera, you could learn the fundamentals of statistical financial models, including insights into asset pricing, credit risk modeling, investment theory, algorithmic trading, and financial institutions and markets. Some of the online courses are heavily geared to learning derivatives pricing, while others spend more time and substance on machine learning, data science, and object-oriented programming.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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