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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

    • Y

      Yale University

      Narrative Economics

      Skills you'll gain: Behavioral Economics, Storytelling, Data Storytelling, Economics, Economic Development, Financial Forecasting, Socioeconomics, Forecasting, Social Studies, Consumer Behaviour, Analysis, Complex Problem Solving

      4.8
      Rating, 4.8 out of 5 stars
      ·
      749 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Artificial Intelligence (AI) Education for Teachers

      Skills you'll gain: Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Machine Learning, Data Quality, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      871 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Smart Cities – Management of Smart Urban Infrastructures

      Skills you'll gain: Energy and Utilities, Transportation Operations, Governance, Technical Management, Systems Thinking, Emerging Technologies, Technology Strategies, Innovation, Infrastructure Architecture, Internet Of Things, Digital Transformation, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Social Impact Strategy: Tools for Entrepreneurs and Innovators

      Skills you'll gain: Design Thinking, Performance Measurement, Innovation, Entrepreneurship, Business Modeling, Project Performance, Strategic Thinking, Project Design, Organizational Structure, Needs Assessment, Growth Strategies, Market Analysis

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Feature Engineering, Mobile Development, Data Transformation, JSON, Applied Machine Learning, Data Sharing, Javascript, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Introduction to Clinical Data

      Skills you'll gain: Feature Engineering, Data Ethics, Clinical Research, Clinical Data Management, Health Informatics, Medical Records, Unstructured Data, Health Care, Data Mining, Electronic Medical Record, Data Collection, Data Manipulation, Text Mining, Health Disparities, Data Processing, Medical Imaging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      434 reviews

      Beginner · Course · 1 - 3 Months

    • E

      Erasmus University Rotterdam

      Driving business towards the Sustainable Development Goals

      Skills you'll gain: Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Business Transformation, Business Ethics, Environmental Issue, Systems Thinking, Socioeconomics, Economic Development, Strategic Partnership, Business Modeling, Goal Setting, Innovation, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Systems Biology and Biotechnology

      Skills you'll gain: Matlab, Bioinformatics, Quantitative Research, Unsupervised Learning, Data Synthesis, Mathematical Modeling, Molecular Biology, Data Analysis, Pharmacology, Science and Research, Network Analysis, Analytical Skills, Scientific Methods, Differential Equations, Computational Logic, Experimentation, Biochemistry, Laboratory Experience, Analysis, Biology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      973 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      Universidad Austral

      El Abogado del Futuro: Legaltech y la Transformación Digital del Derecho

      Skills you'll gain: Law Practice Management Software, Digital Transformation, Data Ethics, Legal Strategy, Blockchain, Design Thinking, Legal Research, Emerging Technologies, Workforce Development, Automation, Court Systems, Artificial Intelligence, Innovation, Virtual Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Cape Town

      Becoming a changemaker: Introduction to Social Innovation

      Skills you'll gain: Design Thinking, Human Centered Design, Innovation, Creative Thinking, Community Development, Resourcefulness, Social Justice, Systems Thinking, Diversity and Inclusion, Complex Problem Solving, Growth Mindedness, Empathy, Resilience

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Artificial Neural Networks, Healthcare Industry Knowledge, Health Care, Health Technology, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Health Informatics, Deep Learning, Data Processing, Image Analysis, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      555 reviews

      Beginner · Course · 1 - 3 Months

    Computational Thinking learners also search

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    1…252627…182

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

    • Narrative Economics: Yale University
    • Artificial Intelligence (AI) Education for Teachers: Macquarie University
    • Smart Cities – Management of Smart Urban Infrastructures: École Polytechnique Fédérale de Lausanne
    • Social Impact Strategy: Tools for Entrepreneurs and Innovators: University of Pennsylvania
    • TensorFlow: Data and Deployment: DeepLearning.AI
    • Introduction to Clinical Data: Stanford University
    • Driving business towards the Sustainable Development Goals: Erasmus University Rotterdam
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Systems Biology and Biotechnology: Icahn School of Medicine at Mount Sinai
    • El Abogado del Futuro: Legaltech y la Transformación Digital del Derecho: Universidad Austral

    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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