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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 Minnesota

      Information​ ​Systems

      Skills you'll gain: Enterprise Resource Planning, Business Systems Analysis, Systems Analysis, Requirements Analysis, Cybersecurity, Business Requirements, Business Systems, Cloud Computing, Cloud Services, IT Management, Change Management, Information Technology, Organizational Change, Technology Strategies, Process Flow Diagrams, System Implementation, User Requirements Documents, Data Modeling, Enterprise Architecture, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Creatividad, diseño e innovación: Técnicas y herramientas

      Skills you'll gain: Design Research, Innovation, Creativity, Design Thinking, Creative Thinking, Design, Brainstorming, Creative Problem-Solving, Ideation, Design Strategies, Business Planning, Product Design, Curiosity, User Experience Design, Research and Design, Customer experience improvement, Cognitive flexibility, Problem Solving, Product Development, Human Centered Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Copenhagen Business School

      Strategic Management

      Skills you'll gain: Strategic Thinking, Business Strategy, Business Strategies, Strategic Decision-Making, Strategic Leadership, Business Transformation, Technology Strategies, Competitive Analysis, Global Marketing, Market Share

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Applied Machine Learning, Medical Imaging, Machine Learning Algorithms, Computer Vision, Deep Learning, Natural Language Processing, Medical Science and Research, Radiology, Artificial Neural Networks, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • E

      Erasmus University Rotterdam

      Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital

      Skills you'll gain: Strategic Decision-Making, Business Valuation, Private Equity, Mergers & Acquisitions, Game Theory, Strategic Thinking, Financial Analysis, Business Strategy, Return On Investment, Investment Banking, Cash Flows, Corporate Finance, Competitive Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics: Mechanics, Planning, and Control

      Skills you'll gain: Machine Controls, Control Systems, Mathematical Modeling, Simulation and Simulation Software, Automation Engineering, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Torque (Physics), Artificial Intelligence, Applied Mathematics, Engineering Analysis, Automation, Computational Logic, Virtual Environment, Robotic Process Automation, Graph Theory, Matlab, Numerical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • E

      Erasmus University Rotterdam

      Innovation Management

      Skills you'll gain: Innovation, Creativity, Brainstorming, Process Development, Design Thinking, Organizational Leadership, Product Development, Diversity and Inclusion, Product Lifecycle Management, Team Management, Business Strategy, Lean Methodologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Aprender

      Skills you'll gain: Learning Strategies, Human Learning, Quick Learning, Self-Motivation, Mental Concentration, Willingness To Learn, Cognitive flexibility, Critical Thinking, Productivity, Personal Development, Self-Awareness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      5.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      789 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Google Prompting Essentials

      Skills you'll gain: Data Visualization, Prompt Engineering, Data Presentation, Data Storytelling, Sampling (Statistics), Presentations, Graphing, Generative AI Agents, ChatGPT, Data Ethics, AI Personalization, Generative AI, Brainstorming, Timelines, Excel Formulas, Data Analysis, Taking Meeting Minutes, Concision, Oral Expression, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      245 reviews

      Beginner · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    Computational Thinking learners also search

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

    • Information​ ​Systems: University of Minnesota
    • Creatividad, diseño e innovación: Técnicas y herramientas: Arizona State University
    • Strategic Management: Copenhagen Business School
    • AI for Medical Diagnosis: DeepLearning.AI
    • Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital: Erasmus University Rotterdam
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
    • Innovation Management: Erasmus University Rotterdam
    • Aprender: Universidad Nacional Autónoma de México
    • AI Product Management: Duke University

    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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