• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Computational Investing

    Computational Investing Courses Online

    Learn computational investing techniques for algorithmic trading. Understand how to develop and backtest trading strategies using programming languages.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Computational Investing Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of London

      Use C++ to build a Crypto Trading Platform: Final System

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Program Development, Computer Programming, Data Structures, Development Environment, Debugging

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Advanced Algorithms and Complexity

      Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      694 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 1 - Functions

      Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Analysis and Representation, Selection and Iteration

      Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      ESG Impact: Investor Perspective

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Investments, Investment Management, Return On Investment, Portfolio Management, Business Ethics, Sustainability Reporting, Due Diligence, Environmental Management Systems, Business Metrics, Stakeholder Management, Market Trend, Risk Analysis, Risk Management, Performance Measurement, Governance, Corporate Finance, Performance Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      232 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Pointers, Arrays, and Recursion

      Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      345 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Computer Systems, Big Data, Operating Systems, Performance Tuning, File Systems, Linux, Command-Line Interface, Programming Principles, OS Process Management

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      139 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript

      Skills you'll gain: Data Structures, 3D Modeling, Computational Logic, Visualization (Computer Graphics), Design, Python Programming, Animations, Scripting, Computer Programming, Automation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      100 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Mathematics for Computer Science

      Skills you'll gain: Arithmetic, Computer Science, Computer Graphics, Computational Thinking, General Mathematics, Applied Mathematics, Algebra, Cryptography

      4.1
      Rating, 4.1 out of 5 stars
      ·
      238 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Sequencing (Bioinformatics II)

      Skills you'll gain: Bioinformatics, Graph Theory, Molecular Biology, Microbiology, Pharmacology, Infectious Diseases, Computational Thinking, Applied Mathematics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      318 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Python for Finance: Investment Fundamentals & Data Analytics

      Skills you'll gain: Regression Analysis, Risk Analysis, Portfolio Management, Financial Analysis, Risk Management, Financial Modeling, Statistical Analysis, Data Visualization, Investment Management, Simulations, Financial Forecasting, Python Programming, Matplotlib, Pandas (Python Package), Jupyter, NumPy, Data Manipulation

      Intermediate · Course · 3 - 6 Months

    1…171819…46

    In summary, here are 10 of our most popular computational investing courses

    • Use C++ to build a Crypto Trading Platform: Final System: University of London
    • Advanced Algorithms and Complexity: University of California San Diego
    • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
    • Data Analysis and Representation, Selection and Iteration: University of Colorado System
    • ESG Impact: Investor Perspective: University of Pennsylvania
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Pointers, Arrays, and Recursion: Duke University
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript: University of Michigan
    • Mathematics for Computer Science: University of London

    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 Computational Investing

    Computational investing is a discipline that combines finance, computer science, and data analysis techniques to develop quantitative investment strategies and make informed investment decisions. It involves using computational tools, algorithms, and statistical models to analyze financial data, identify patterns, and generate investment insights. Computational investing focuses on leveraging technology and data-driven approaches to improve investment performance and manage investment portfolios.‎

    To excel in computational investing, you need to develop the following skills:

    • Financial Knowledge: Understanding of financial markets, investment instruments, portfolio management, risk assessment, and valuation techniques.
    • Programming and Data Analysis: Proficiency in programming languages such as Python, R, or MATLAB to manipulate financial data, build quantitative models, and implement trading strategies.
    • Statistical Analysis and Modeling: Knowledge of statistical methods, time series analysis, regression modeling, and econometrics to analyze financial data and identify patterns.
    • Quantitative Analysis: Ability to apply mathematical and statistical techniques to evaluate investment opportunities, measure risks, and optimize investment portfolios.
    • Algorithmic Trading: Familiarity with algorithmic trading concepts, order execution strategies, and using technology to automate investment decisions.
    • Data Visualization: Skills in visualizing financial data, creating meaningful charts and graphs, and effectively communicating investment insights.
    • Risk Management: Understanding of risk assessment and management techniques, including portfolio diversification, value-at-risk (VaR), and risk-adjusted returns.
    • Market Research: Experience in gathering and analyzing market data, financial reports, and economic indicators to make informed investment decisions.
    • Backtesting and Simulation: Knowledge of backtesting methodologies to evaluate the performance of investment strategies using historical data.
    • Continuous Learning: Eagerness to stay updated with market trends, investment theories, emerging technologies, and computational investing techniques.‎

    With computational investing skills, you can pursue various job opportunities in the finance and investment industry, including:

    • Quantitative Analyst
    • Investment Analyst
    • Portfolio Manager
    • Risk Analyst
    • Data Scientist (specializing in finance)
    • Algorithmic Trader
    • Financial Researcher
    • Risk Manager
    • Quantitative Developer
    • Financial Consultant

    These roles involve utilizing computational tools, quantitative models, and data analysis techniques to develop and implement investment strategies, evaluate risks, optimize portfolios, and provide investment advice to clients.‎

    Computational investing is well-suited for individuals who possess the following qualities:

    • Analytical and Mathematical Aptitude: Ability to analyze complex financial data, apply mathematical concepts, and derive meaningful insights.
    • Programming Proficiency: Experience or willingness to learn programming languages and tools used in quantitative finance, such as Python, R, or MATLAB.
    • Detail-Oriented: Meticulousness in handling financial data, developing models, and ensuring accuracy in investment analysis.
    • Problem-Solving Orientation: Aptitude for formulating investment strategies, designing algorithms, and solving investment-related challenges.
    • Curiosity and Continuous Learning: A passion for staying updated with financial market trends, investment theories, and emerging technologies in computational investing.
    • Decision-Making Skills: Ability to make informed investment decisions based on data analysis, risk assessment, and investment theory.
    • Communication Skills: Capacity to effectively communicate investment insights, explain complex concepts, and interact with clients or stakeholders.
    • Team Player: Ability to collaborate in cross-functional teams, work with data scientists, portfolio managers, and traders to develop investment strategies.‎

    Several topics are related to computational investing that you can study to enhance your skills and knowledge, including:

    • Financial Markets and Instruments
    • Quantitative Investment Strategies
    • Portfolio Optimization
    • Risk Management in Investment
    • Algorithmic Trading Strategies
    • Market Microstructure
    • Factor-Based Investing
    • Machine Learning in Finance
    • High-Frequency Trading
    • Behavioral Finance

    Exploring these topics through online courses, academic programs, research papers, and practical projects will provide a comprehensive understanding of the concepts and techniques used in computational investing, enabling you to develop and implement effective investment strategies.‎

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

    When looking to enhance your workforce's skills in Computational Investing, 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.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok