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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.


More to explore:

Popular Computational Thinking Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algorithms for Searching, Sorting, and Indexing

    Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Pseudocode, Computational Thinking, Analysis, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    524 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, AI Workflows, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for UI UX Design

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Design Software, AI Workflows, User Interface (UI) Design, Brainstorming, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, User Story, Wireframing, Deep Learning, Ideation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Theoretical Computer Science, Logical Reasoning, Software Development, Generative AI, Social Sciences

    4.6
    Rating, 4.6 out of 5 stars
    ·
    639 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Enablement, Data Storytelling, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Business Strategy, Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Peking University

    程序设计与算法

    Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Algorithms, C++ (Programming Language), File I/O, Object Oriented Design, Computational Thinking, Graph Theory, Program Development, Theoretical Computer Science, C (Programming Language), Programming Principles, Data Storage, Computer Science, Computer Programming, Computer Architecture, Application Development, Database Systems, Information Architecture, Maintainability

    4.8
    Rating, 4.8 out of 5 stars
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    2.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Data Visualization, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Data Science, AI Workflows, Data Synthesis, Data Preprocessing, Data Analysis, Deep Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Career Success

    Skills you'll gain: Business Writing, Goal Setting, Negotiation, Time Management, Business Planning, Project Controls, Feasibility Studies, Entrepreneurship, Team Leadership, Business Correspondence, Peer Review, Problem Solving, Financial Statement Analysis, Project Planning, Team Performance Management, Concision, Smart Goals, Project Management, Communication, Performance Metric

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45K reviews

    Beginner · Specialization · 3 - 6 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: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Customer Support

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Standard Operating Procedure, Customer Support, Product Support, Responsible AI, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Customer experience improvement, Artificial Intelligence, AI Workflows, Data Ethics, Customer Insights, Deep Learning, Automation, Machine Learning, Natural Language Processing, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    F

    Fractal Analytics

    GenAI for Everyone

    Skills you'll gain: Generative AI, ChatGPT, Responsible AI, Social Impact, Artificial Intelligence, AI Personalization, Organizational Effectiveness, Prompt Engineering, LLM Application, Operational Efficiency, Human Centered Design, Ethical Standards And Conduct, Natural Language Processing, Strategic Thinking, Problem Solving, Critical Thinking

    4.4
    Rating, 4.4 out of 5 stars
    ·
    452 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
  • Probabilistic Graphical Models: Stanford University
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Generative AI for UI UX Design: IBM
  • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México
  • Generative AI for Business Analysts: IBM
  • 程序设计与算法: Peking University
  • Generative AI for Data Scientists: IBM
  • Career Success: University of California, Irvine
  • Genome Sequencing (Bioinformatics II): University of California San Diego

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