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  • Computational Thinking

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
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Computer Graphics, Computational Thinking, General Mathematics, Systems Of Measurement, Algebra, Cryptography

    4.2
    Rating, 4.2 out of 5 stars
    ·
    267 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Ideation, Verification And Validation, Data Presentation, LLM Application, Productivity, OpenAI, Document Management, Responsible AI, AI Enablement, Generative AI, Creativity, Large Language Modeling, Risk Management Framework, Artificial Intelligence, Problem Solving, Data Analysis, Information Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.4K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C and Go: Classical and Modern Programming

    Skills you'll gain: Go (Programming Language), File I/O, Data Structures, C (Programming Language), C and C++, Programming Principles, Object Oriented Programming (OOP), Debugging, C++ (Programming Language), Computer Programming, Unit Testing, Program Development, Computational Thinking, Integrated Development Environments, Computer Science, Pseudocode, Command-Line Interface, Software Testing, Algorithms, Integration Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming Foundations with JavaScript, HTML and CSS

    Skills you'll gain: User Interface (UI), Computational Thinking, HTML and CSS, Interactive Design, Web Development, Programming Principles, Web Design, Javascript, Event-Driven Programming, Computer Programming, Algorithms, Image Analysis, Cascading Style Sheets (CSS), Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Use AI Responsibly

    Skills you'll gain: AI Security, Personally Identifiable Information, Data Security, Generative AI, Analysis, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, Workflow Management, No-Code Development, Machine Learning Software, Model Deployment, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    M

    Macquarie University

    Artificial Intelligence (AI) Education for Teachers

    Skills you'll gain: Data Ethics, Responsible AI, Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML), Data Literacy, Digital pedagogy, Data-Driven Decision-Making, Machine Learning, Data Quality, Computer Science, Computer Programming, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    941 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Embeddings, Supervised Learning, Keras (Neural Network Library), Machine Learning, Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Machine Learning: DeepLearning.AI
  • Mathematics for Computer Science: University of London
  • Prompt Engineering: Vanderbilt University
  • C and Go: Classical and Modern Programming: University of California, Santa Cruz
  • Meta Database Engineer: Meta
  • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Programming Foundations with JavaScript, HTML and CSS: Duke University
  • Use AI Responsibly: Google
  • AI Foundations for Everyone: IBM

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