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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
      U

      University of Michigan

      AI for Lawyers and Other Advocates

      Skills you'll gain: Delegation Skills, Critical Thinking, Data Ethics, Law Practice Management Software, Artificial Intelligence, Experimentation, Legal Strategy, Communication, Legal Risk, Lifelong Learning, Professional Development, Constructive Feedback, Analysis, Leadership, Prioritization, Creativity, Prompt Engineering, Presentations, Business Correspondence, Editing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      29 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Advancing Women in Tech

      The Art & Science of Product Management

      Skills you'll gain: Cross-Functional Team Leadership, Technical Product Management, Product Management, Team Leadership, Artificial Intelligence and Machine Learning (AI/ML), User Experience Design, Design, Artificial Intelligence, Interviewing Skills, Machine Learning, Deep Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      150 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      Lund University

      Cities and Consumption: Urban Sustainability and the Sharing Economy

      Skills you'll gain: Community Development, Governance, Economics, Policy, and Social Studies, Sustainability Reporting, Public Policies, Environment and Resource Management, Multimedia, Innovation, Stakeholder Engagement, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      170 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Approximation Algorithms and Linear Programming

      Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Graph Theory, Network Model, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming, Network Analysis

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Computational Logic, Application Specific Integrated Circuits, Computer-Aided Design, Electronic Hardware, Electrical Engineering, Electronic Systems, Electronics, Semiconductors, Electronic Components, Computer Architecture, Programming Principles, Engineering Design Process, Embedded Systems, Schematic Diagrams, Simulation and Simulation Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      66 reviews

      Mixed · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      AI Materials

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Neural Networks, Generative AI, Natural Language Processing, Python Programming

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Prepare for DP-100: Data Science on Microsoft Azure Exam

      Skills you'll gain: Databricks, Microsoft Azure, Data Science, MLOps (Machine Learning Operations), Predictive Modeling, Scikit Learn (Machine Learning Library), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Deep Learning, Tensorflow, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Innovation and emerging technology: Be disruptive

      Skills you'll gain: Design Thinking, Emerging Technologies, Digital Transformation, Innovation, Business Modeling, Business Transformation, Strategic Thinking, Technology Strategies, Organizational Change, Competitive Analysis, Augmented Reality, Market Analysis, Virtual Reality, Internet Of Things, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      461 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Foundations of Public Health Practice: The Public Health Toolkit

      Skills you'll gain: Health Assessment, Public Health, Program Evaluation, Epidemiology, Health Policy, Data Literacy, Intelligence Collection and Analysis, Data Analysis, Data Collection, Report Writing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Alfaisal University | KLD

      مهارات التفكير التأملي | Reflective Thinking Skills

      Skills you'll gain: Lifelong Learning, Critical Thinking, Personal Development, Professional Development, Self-Awareness, Creative Thinking, Open Mindset, Problem Solving, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Theoretical Computer Science, Supervised Learning, Classification And Regression Tree (CART), Statistical Machine Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Decision Tree Learning, Algorithms, Unsupervised Learning, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Intermediate · 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

    • AI for Lawyers and Other Advocates: University of Michigan
    • The Art & Science of Product Management: Advancing Women in Tech
    • Cities and Consumption: Urban Sustainability and the Sharing Economy: Lund University
    • Approximation Algorithms and Linear Programming : University of Colorado Boulder
    • Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA: Pontificia Universidad Católica de Chile
    • AI Materials: Korea Advanced Institute of Science and Technology(KAIST)
    • Introduction to Deep Learning: University of Colorado Boulder
    • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
    • Innovation and emerging technology: Be disruptive: Macquarie University
    • Foundations of Public Health Practice: The Public Health Toolkit : Imperial College London

    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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