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  • Computational Investing

Computational Investing Courses

Computational investing courses can help you learn quantitative analysis, algorithmic trading strategies, financial modeling, and risk management techniques. You can build skills in data analysis, portfolio optimization, and backtesting investment strategies. Many courses introduce tools like Python, R, and various financial libraries, showing how these skills apply to real-time market data and investment decision-making.


Popular Computational Investing Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Think Again II: How to Reason Deductively

    Skills you'll gain: Deductive Reasoning, Logical Reasoning, Computational Logic, Mathematical Modeling, Scientific Methods

    4.3
    Rating, 4.3 out of 5 stars
    ·
    407 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Clinical Data Science

    Skills you'll gain: Clinical Data Management, Extract, Transform, Load, Data Modeling, Tidyverse (R Package), R Programming, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Clinical Informatics, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Data Warehousing, Natural Language Processing, Predictive Analytics, Bioinformatics, Informatics, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    484 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    P

    Peking University

    程序设计与算法

    Skills you'll gain: Data Structures, Algorithms, C++ (Programming Language), C (Programming Language), Object Oriented Programming (OOP), Computational Thinking, Graph Theory, Programming Principles, Computer Programming, Theoretical Computer Science, Application Development, Program Development, Information Architecture, Application Design, Query Languages, Computer Science, Data Storage, Data Architecture, Computer Architecture, Software Engineering

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of California San Diego

    Molecular Evolution (Bioinformatics IV)

    Skills you'll gain: Bioinformatics, Statistical Analysis, Graph Theory, Taxonomy, Computational Thinking

    4.5
    Rating, 4.5 out of 5 stars
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    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    B

    Birla Institute of Technology & Science, Pilani

    Graphs and Networks

    Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, Combinatorics, Network Model, Mathematical Modeling, Data Structures, Transportation Operations, Image Analysis, Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Problem Solving

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    S

    Stanford University

    Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

    Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Colorado Boulder

    Equivalences, Abstraction, and Partial Order Reduction

    Skills you'll gain: Verification And Validation, Systems Engineering, Systems Design, Systems Analysis, Software Design, Computer Architecture, Software Quality (SQA/SQC), Logical Reasoning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

    Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Pseudocode, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    828 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Grow as a Manager

    Skills you'll gain: Organizational Skills, Leadership and Management, Initiative and Leadership, Lifelong Learning, Leadership, Growth Mindedness, Relationship Building, Technology Strategies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    78 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, Molecular Biology, Pharmacology, Infectious Diseases, Biotechnology, Computational Thinking, Algorithms, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    324 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Coding Interview Preparation

    Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Computational Thinking, Theoretical Computer Science, Computer Science, Technical Communication, Computer Programming, Program Development, Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    760 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad ORT Uruguay

    ¡A Programar! Una introducción a la programación

    Skills you'll gain: Video Game Development, Software Engineering, Program Development, Programming Principles, Software Testing, Animation and Game Design, Software Development, Event-Driven Programming, Computer Programming, Computational Thinking, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular Computational Investing courses

  • Think Again II: How to Reason Deductively: Duke University
  • Clinical Data Science: University of Colorado System
  • 程序设计与算法: Peking University
  • Molecular Evolution (Bioinformatics IV): University of California San Diego
  • Graphs and Networks: Birla Institute of Technology & Science, Pilani
  • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
  • Equivalences, Abstraction, and Partial Order Reduction: University of Colorado Boulder
  • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
  • Grow as a Manager: Google
  • Genome Sequencing (Bioinformatics II): University of California San Diego

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