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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

    • U

      University of Minnesota

      Creative Problem Solving

      Skills you'll gain: Creativity, Creative Thinking, Creative Problem-Solving, Brainstorming, Cognitive flexibility, Persistence, Curiosity, Resourcefulness, Innovation, Growth Mindedness, Adaptability, Motivational Skills

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • 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
      ·
      756 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Attention Models

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universitat Autònoma de Barcelona

      Digital Systems: From Logic Gates to Processors

      Skills you'll gain: Computer Architecture, Hardware Architecture, Technical Design, System Design and Implementation, Application Specific Integrated Circuits, Embedded Systems, Digital Design, Computer Hardware, Computational Logic, Simulations

      4.3
      Rating, 4.3 out of 5 stars
      ·
      838 reviews

      Intermediate · 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, Data Quality, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      559 reviews

      Beginner · Course · 1 - 3 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

    • 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

    • U

      University of California, Davis

      Wine Tasting: Sensory Techniques for Wine Analysis

      Skills you'll gain: Peer Review, Cultural Sensitivity, Analytical Skills, Oral Expression, Critical Thinking, Detail Oriented, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      525 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
      M

      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Applied Machine Learning, Regression Analysis, Data Science, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Classification And Regression Tree (CART), Cloud Computing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      548 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Leading transformations: Manage change

      Skills you'll gain: Change Management, Organizational Change, Business Transformation, Process Management, Influencing, Leadership, Adaptability, Innovation, Resource Management, Gap Analysis, Dealing With Ambiguity, Resilience, Creative Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Algorithms, Data Collection, and Starting to Code

      Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Development Environment, Computer Programming, Data Structures, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      376 reviews

      Beginner · Course · 1 - 4 Weeks

    Computational Thinking learners also search

    C
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    1…313233…183

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

    • Creative Problem Solving: University of Minnesota
    • Narrative Economics: Yale University
    • Natural Language Processing with Attention Models: DeepLearning.AI
    • Digital Systems: From Logic Gates to Processors: Universitat Autònoma de Barcelona
    • Fundamentals of Machine Learning for Healthcare: Stanford University
    • El Abogado del Futuro: Legaltech y la Transformación Digital del Derecho: Universidad Austral
    • Driving business towards the Sustainable Development Goals: Erasmus University Rotterdam
    • Wine Tasting: Sensory Techniques for Wine Analysis: University of California, Davis
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft

    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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