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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


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    I

    IE Business School

    Making Architecture

    Skills you'll gain: Creative Thinking, Creative Problem-Solving, Creativity, Brainstorming, Architectural Design, Storytelling, Design Thinking, Design Elements And Principles, Curiosity, Empathy, Design Strategies, Critical Thinking and Problem Solving, Teamwork, Creative Design, Collaboration, Cultural Responsiveness

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations: Data, Data, Everywhere

    Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL

    4.8
    Rating, 4.8 out of 5 stars
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    120K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Genome Assembly Programming Challenge

    Skills you'll gain: Bioinformatics, Epidemiology, Graph Theory, Infectious Diseases, Program Development, Molecular Biology, Computational Thinking, Algorithms, Software Development

    4.5
    Rating, 4.5 out of 5 stars
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    347 reviews

    Advanced · Course · 1 - 4 Weeks

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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), Computational Thinking, Problem Solving

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

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

    4.8
    Rating, 4.8 out of 5 stars
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    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google

    Google AI Essentials

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, AI Enablement, AI Security, Risking, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Model Evaluation, Process Optimization, Operational Efficiency, Emerging Technologies, Data Security, Critical Thinking, Analysis, Innovation, Data-Driven Decision-Making

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
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    51K 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
    ·
    8.5K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    A

    Adobe

    Job Applications Essentials

    Skills you'll gain: Adobe Express, LinkedIn, Interviewing Skills, Critical Thinking, Graphic Design, Creativity, Personal Attributes, Design, Branding, Storytelling, Communication, Strategic Thinking, Professional Development, Self-Awareness, Digital Communications

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
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    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • 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
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    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • 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, No-Code Development, Machine Learning Software, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Robotics, AI Enablement, Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    34K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Making Architecture: IE Business School
  • Foundations: Data, Data, Everywhere: Google
  • Genome Assembly Programming Challenge: University of California San Diego
  • Graphs and Networks: Birla Institute of Technology & Science, Pilani
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Google AI Essentials: Google
  • AI For Everyone: DeepLearning.AI
  • Prompt Engineering: Vanderbilt University
  • Job Applications Essentials: Adobe
  • Java Programming and Software Engineering Fundamentals: Duke University

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