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    • Computational Thinking

    Computational Thinking Courses Online

    Master computational thinking for problem-solving and programming. Learn to approach problems systematically and develop efficient algorithms.

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    Explore the Computational Thinking Course Catalog

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Graph Search, Shortest Paths, and Data Structures

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The George Washington University

      Leading Healthcare Quality and Safety

      Skills you'll gain: Patient Safety, Clinical Leadership, Health Care Administration, Continuous Quality Improvement (CQI), Safety Training, Health Policy, Health Information Management, Health Care, Innovation, Systems Thinking, Teamwork, Change Management

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Adapting: Career Development

      Skills you'll gain: Stress Management, Resilience, Personal Development, Time Management, Intercultural Competence, Cultural Diversity, Productivity, Professional Development, Cultural Sensitivity, Adaptability, Self-Awareness, Business Ethics, Business Writing, Leadership Development, Cognitive flexibility, Diversity Awareness, Diversity and Inclusion, Lifelong Learning, Communication, Proactivity

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Patient Safety

      Skills you'll gain: Patient Safety, Stakeholder Engagement, Change Management, Conflict Management, Systems Thinking, Solution Design, Health Systems, Data Analysis, Corrective and Preventive Action (CAPA), Risk Analysis, Data Presentation, Safety Assurance, Nursing Management, Continuous Quality Improvement (CQI), Data Visualization Software, Risk Management, Patient Flow, Safety Training, Collaboration, Health Care

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Y

      Yale University

      Overcoming Dyslexia

      Skills you'll gain: Disabilities, Special Education, Literacy, Individualized Education Programs (IEP), Mental and Behavioral Health Specialties, Working With Children, Psychological Evaluations, Education Software and Technology, Resilience, Empowerment, Learning Strategies, Law, Regulation, and Compliance, Neurology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      973 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Ethics, Computer Vision, Artificial Intelligence, Unsupervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part I

      Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • A

      Arizona State University

      Learning How To Learn for Youth

      Skills you'll gain: Learning Strategies, Productivity, Human Learning, Willingness To Learn, Mental Concentration, Creativity, Time Management, Stress Management, Problem Solving, Self-Awareness, Persistence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Peking University

      程序设计与算法

      Skills you'll gain: Data Structures, Algorithms, C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Computational Thinking, Graph Theory, C (Programming Language), Programming Principles, Theoretical Computer Science, Program Development, Computer Science, Data Storage, Computer Architecture, Computer Programming, Database Systems, Software Design Patterns, Performance Tuning, Computational Logic, Debugging

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

      Beginner · Specialization · 3 - 6 Months

    • U

      Universidad ORT Uruguay

      ¡A Programar! Una introducción a la programación

      Skills you'll gain: Software Engineering, Software Testing, Programming Principles, Game Design, Computer Programming, Debugging, Computational Thinking, Scripting, Scripting Languages, Prototyping

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

      Beginner · Course · 1 - 3 Months

    Computational Thinking learners also search

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

    • Graph Search, Shortest Paths, and Data Structures: Stanford University
    • Leading Healthcare Quality and Safety: The George Washington University
    • Adapting: Career Development: Macquarie University
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Patient Safety: Johns Hopkins University
    • Overcoming Dyslexia: Yale University
    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
    • Algorithms, Part I: Princeton University
    • Learning How To Learn for Youth: Arizona State University
    • Introduction to Computer Vision and Image Processing: IBM

    Frequently Asked Questions about Computational Thinking

    Computational thinking is a way of breaking down a solution to a problem into steps that you can program into a computer for it to solve. When you use computational thinking, you break down the thought process into smaller steps that follow each other in a logical order. You can employ computational thinking to actually program a series of instructions into a computer, or you can use it as a thought exercise that teaches you how to process an issue into the simplest steps possible.‎

    Computational thinking doesn't merely apply to those who program computers. You can rely on the concepts of computational thinking in your life and career. Computational thinking allows you to make sense of complex issues and break them down into simple steps to help you understand and solve them more effectively. It helps you to sort out relevant facts from details that don't matter and develop logical solutions to problems. Proponents of computational thinking insist that you can become more innovative when you apply these principles in your everyday life.‎

    On the surface, it's easy to see how computational thinking could affect your career if you're considering switching to a job in computer science. Computational thinking is essential to coding and other types of programming, and you can take those skills into that field if you're interested in a career change. You can also put the principles of computational thinking to use in your career in other fields. Learning computational thinking allows you to simplify and solve complex problems efficiently and see other solutions that you may not have been able to see otherwise. Computational thinking can equip you to become a better problem solver no matter where you work.‎

    Whether you're just beginning to learn the basics of computational thinking or you're trying to understand and apply it at a deeper level, you can benefit from online learning. Online courses allow you to learn from some of the best professors in the field, and you can learn at your own pace and at a schedule that works for you. You can take your newfound knowledge of computational thinking into your workplace, be confident in what you've learned, and use it to improve your career and life as a whole.‎

    Online Computational Thinking courses offer a convenient and flexible way to enhance your knowledge or learn new Computational Thinking skills. Choose from a wide range of Computational Thinking courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computational Thinking, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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