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Computational Thinking Courses

Computational thinking courses can help you learn problem decomposition, pattern recognition, algorithmic design, and abstraction techniques. You can build skills in logical reasoning, data analysis, and effective solution development across various applications, from programming to data science. Many courses introduce tools like Python, Scratch, and various simulation software, demonstrating how these skills can be applied to solve complex problems in fields such as artificial intelligence, robotics, and software development.


Popular Computational Thinking Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of Coding Front-End

    Skills you'll gain: Front-End Web Development, Debugging, Programming Principles, Computational Thinking, GitHub, Pseudocode, Version Control, Git (Version Control System), Integrated Development Environments, Microsoft Copilot, Algorithms, Program Development, Computer Programming, Data Flow Diagrams (DFDs), C# (Programming Language)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Applied Bioinformatics

    Skills you'll gain: Bioinformatics, Diagnostic Tests, Model Evaluation, Molecular Biology, Infectious Diseases, Informatics, Network Analysis, Medical Science and Research, Computational Thinking, Biochemistry, Data Mining, Scientific Visualization, Life Sciences, Tree Maps, Microbiology, Biology, Data Analysis Software, Pharmacology, Science and Research

    4.4
    Rating, 4.4 out of 5 stars
    ·
    67 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    411 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Peking University

    离散数学概论 Discrete Mathematics Generality

    Skills you'll gain: Theoretical Computer Science, Computational Logic, Graph Theory, Logical Reasoning, Geospatial Information and Technology, Computational Thinking, Spatial Analysis, Combinatorics, Deductive Reasoning, Network Analysis, General Mathematics, Algebra, Information Technology, Advanced Mathematics, Computer Science, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    281 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Basic Modeling for Discrete Optimization

    Skills you'll gain: Mathematical Modeling, Problem Solving, Enterprise Modeling, Graph Theory, Decision Support Systems, Computational Thinking, Data Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    456 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part I

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Mathematical Modeling, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    556 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Finding Mutations in DNA and Proteins (Bioinformatics VI)

    Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Data Mapping, Machine Learning Methods, Computational Thinking, Algorithms, Data Structures, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    183 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Data Structures in Java

    Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Theoretical Computer Science, Maintainability, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Genome Sequencing (Bioinformatics II)

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, 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: Preview
    Preview
    U

    University of Washington

    Programming Languages, Part C

    Skills you'll gain: Ruby (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Computer Programming, Programming Principles, Functional Design, Computational Thinking, Software Design Patterns, Theoretical Computer Science, Computer Science, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    463 reviews

    Mixed · Course · 1 - 3 Months

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

  • Foundations of Coding Front-End: Microsoft
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Applied Bioinformatics: University of California San Diego
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • 离散数学概论 Discrete Mathematics Generality: Peking University
  • Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Approximation Algorithms Part I: École normale supérieure
  • Finding Mutations in DNA and Proteins (Bioinformatics VI): University of California San Diego
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Advanced Data Structures in Java: University of California San Diego

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