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  • Computational Thinking

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: Free Trial
    Free Trial
    G

    Google

    Use AI Responsibly

    Skills you'll gain: AI Security, Risking, Data Security, Generative AI, Analysis, Critical Thinking

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

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    C Programming Bootcamp - The Complete C Language Course

    Skills you'll gain: Computational Thinking, Data Storage

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Project Planning: Putting It All Together

    Skills you'll gain: Project Management, Project Planning, Communication Planning, Project Documentation, Milestones (Project Management), Project Coordination, Project Schedules, Risk Management, Cost Management, Budgeting, Estimation, Timelines, Procurement, Strategic Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Agile Project Management

    Skills you'll gain: Agile Project Management, Backlogs, Agile Methodology, User Story, Sprint Planning, Agile Product Development, Product Roadmaps, Sprint Retrospectives, Coaching, Team Management, Organizational Change, Prioritization, Cross-Functional Collaboration, Problem Solving, Influencing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    15K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Model Evaluation, Retrieval-Augmented Generation, Supervised Learning, LLM Application, Unsupervised Learning, Computer Vision, PySpark, Generative Model Architectures, Keras (Neural Network Library), Convolutional Neural Networks, Generative AI, Deep Learning, Applied Machine Learning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Storytelling, Data Mining, Big Data, Data Science, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Business Analytics, Business Intelligence, Predictive Analytics, Machine Learning, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Prompt Patterns, Generative Model Architectures, Responsible AI, OpenAI, ChatGPT, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Business Ethics, Hugging Face, Legal Risk, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Content Creation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.8K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Ideation, Verification And Validation, Data Presentation, LLM Application, Productivity, OpenAI, Document Management, Responsible AI, AI Enablement, Generative AI, Creativity, Large Language Modeling, Risk Management Framework, Artificial Intelligence, Problem Solving, Data Analysis, Information Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.7K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for IT Systems Analysts and Architects

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Systems Analysis, AI Workflows, Business Analysis, Systems Architecture, Solution Architecture, Business Process Automation, Stakeholder Analysis, Software Architecture, Consulting, Systems Thinking, Responsible AI, Machine Learning, Business Communication, Context Management, Project Documentation, Stakeholder Communications, Technical Consulting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Star Schema, Data Integrity, Unit Testing, Algorithms, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Computational Thinking, Test Driven Development (TDD), File Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Use AI Responsibly: Google
  • C Programming Bootcamp - The Complete C Language Course: Packt
  • Project Planning: Putting It All Together: Google
  • Agile Project Management: Google
  • IBM AI Engineering: IBM
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • What is Data Science? : IBM
  • Generative AI Fundamentals: IBM
  • Introduction to Genomic Technologies: Johns Hopkins University
  • Prompt Engineering: Vanderbilt University

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