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Computational Thinking Courses

Computational thinking courses can help you learn problem decomposition, pattern recognition, algorithmic design, and abstraction techniques. You can build skills in logical reasoning, data analysis, and effective solution development across various applications, from programming to data science. Many courses introduce tools like Python, Scratch, and various simulation software, demonstrating how these skills can be applied to solve complex problems in fields such as artificial intelligence, robotics, and software development.


Popular Computational Thinking Courses and Certifications


  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Program Development, Pseudocode, Problem Solving, Python Programming, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Computational Thinking with Beginning C Programming

    Skills you'll gain: Computational Thinking, File I/O, Data Collection, Simulations, Data Analysis, Microsoft Visual Studio, C (Programming Language), Statistical Analysis, Automation, Program Development, Data Structures, Programming Principles, Algorithms, Computer Programming, Theoretical Computer Science, Data Storage, Descriptive Statistics, Data Visualization Software, Debugging

    4.6
    Rating, 4.6 out of 5 stars
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    433 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of Michigan

    Problem Solving Using Computational Thinking

    Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Public Health

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking & Block Programming in K-12 Education

    Skills you'll gain: Debugging, Computer Programming Tools, Algorithms, Programming Principles, Computational Thinking, Digital pedagogy, Program Development, Technical Communication, Computer Programming, Education Software and Technology, Event-Driven Programming, Code Review, Diversity Equity and Inclusion Initiatives, Computer Science, Software Documentation, Brainstorming, Data Structures, Student Engagement, Visualization (Computer Graphics), Game Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Computational Thinking with JavaScript

    Skills you'll gain: Computational Thinking, JSON, Application Deployment, Data Structures, Javascript, Application Development, HTML and CSS, Data Analysis, Code Review, Software Development, Data Visualization Software, Web Development, Web Applications, Scripting, Prototyping, Data Processing, Programming Principles, Unsupervised Learning, Front-End Web Development, Computer Programming

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Strategic Thinking for Everyone

    Skills you'll gain: Strategic Thinking, Visionary, Research, Influencing, Strategic Decision-Making, Data Collection, Systems Thinking, Strategic Planning, Proactivity, Negotiation, Business Strategy, Complex Problem Solving, Surveys, Creative Thinking, Scientific Methods, Decision Making, Recognizing Others, Active Listening, Cognitive flexibility, Research Methodologies

    4.5
    Rating, 4.5 out of 5 stars
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    120 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: New
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    Status: Free Trial
    Free Trial
    P

    Pearson

    Programming Generative AI

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Model Evaluation, Autoencoders, Hugging Face, Computer Vision, Convolutional Neural Networks, Artificial Neural Networks, LLM Application, Natural Language Processing, Deep Learning, Embeddings, Tensorflow, Transfer Learning, Performance Tuning

    Intermediate · Specialization · 1 - 4 Weeks

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Linear Algebra, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Introduction to Mathematical Thinking

    Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming, Program Development

    4.6
    Rating, 4.6 out of 5 stars
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    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Critical Thinking Skills for the Professional

    Skills you'll gain: Problem Solving, Brainstorming, Critical Thinking, Creative Thinking, Constructive Feedback, Decision Making, Analysis, Cognitive flexibility, Self-Awareness, Collaboration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Imperial College London

    Creative Thinking: Techniques and Tools for Success

    Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.1K reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

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

  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Computational Thinking with Beginning C Programming: University of Colorado System
  • Problem Solving Using Computational Thinking: University of Michigan
  • Computational Thinking & Block Programming in K-12 Education: University of California San Diego
  • Computational Thinking with JavaScript: University of Glasgow
  • Strategic Thinking for Everyone: Arizona State University
  • Programming Generative AI: Pearson
  • Computational Neuroscience: University of Washington
  • Introduction to Mathematical Thinking: Stanford University
  • Algorithmic Thinking (Part 1): Rice University

Frequently Asked Questions about Computational Thinking

Computational thinking is a problem-solving process that involves breaking down complex problems into manageable parts, recognizing patterns, and developing algorithms to find solutions. It is important because it equips individuals with the skills to tackle challenges in various fields, from computer science to everyday life. By fostering logical reasoning and analytical skills, computational thinking enhances creativity and innovation, making it a valuable asset in today's technology-driven world.‎

Jobs that involve computational thinking span a wide range of industries. Positions such as data analyst, software developer, systems architect, and IT consultant often require strong computational thinking skills. Additionally, roles in education, research, and even healthcare increasingly value the ability to analyze data and solve complex problems using computational methods. This versatility makes computational thinking a crucial skill for anyone looking to advance their career.‎

To learn computational thinking, you should focus on developing several key skills. These include problem decomposition, pattern recognition, abstraction, and algorithmic thinking. Familiarity with programming languages, such as JavaScript or C, can also be beneficial. Engaging with real-world problems and practicing coding can reinforce these skills, making them applicable in various contexts.‎

Some of the best online courses for computational thinking include the Computational Thinking with JavaScript Specialization and the Computational Thinking with Beginning C Programming Specialization. These courses provide structured learning paths that cover essential concepts and practical applications, helping you build a solid foundation in computational thinking.‎

Yes. You can start learning computational thinking on Coursera for free in two ways:

  1. Preview the first module of many computational thinking courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in computational thinking, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn computational thinking, start by exploring online courses that focus on the subject. Engage in hands-on projects that require you to apply computational methods to solve problems. Practice coding regularly and collaborate with peers to enhance your understanding. Additionally, seek out resources such as books and tutorials that explain the principles of computational thinking in a clear and approachable manner.‎

Topics typically covered in computational thinking courses include problem decomposition, algorithm design, data representation, and programming concepts. Courses may also explore specific programming languages and tools, as well as applications of computational thinking in various fields, such as education, data science(https://www.coursera.org/courses?‎

For training and upskilling employees, courses like the Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists and the Problem Solving Using Computational Thinking are excellent choices. These courses provide practical skills and methodologies that can be applied in educational settings and beyond, helping to foster a culture of problem-solving and innovation in the workplace.‎

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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