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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


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    EDUCBA

    Agile Scrum: Apply, Analyze & Certify as Scrum Master

    Skills you'll gain: Agile Methodology, Agile Project Management, Continuous Integration, Sprint Planning, Sprint Retrospectives, Performance Metric, Project Controls, Backlogs, User Story, Change Management, Cross-Functional Collaboration, Estimation

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Game Development with MonoGame: 2D & 3D Projects

    Skills you'll gain: Computer Graphics, Game Design, Object Oriented Programming (OOP), 3D Assets, Video Game Development, Animation and Game Design, C# (Programming Language), Animations, Cross Platform Development, Development Environment, Software Installation, User Interface (UI), Debugging, Program Development, Prototyping, Computational Logic, Content Management

    Beginner · Specialization · 3 - 6 Months

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    Northeastern University

    Strategic Info Systems: Planning & Business Alignment

    Skills you'll gain: Scope Management, Requirements Management, Project Scoping, Project Documentation, Change Control, Project Planning, Agile Methodology, Strategic Planning, Project Management Life Cycle, Project Management, Business Planning, Systems Thinking, Risk Management, Stakeholder Communications

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Generative AI: Foundations and Concepts

    Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Bayesian Network, Machine Learning Methods, Mathematical Modeling, Estimation, Model Evaluation, Applied Mathematics, Dimensionality Reduction, Network Architecture, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Réseaux neuronaux convolutifs

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Transfer Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Network Architecture, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

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    Northeastern University

    Engaging in Enterprise Growth and Innovation

    Skills you'll gain: User Centered Design, Innovation, User Research, Digital Transformation, Platform As A Service (PaaS), Software As A Service, Design Thinking, Service Design, Solution Design, Business Strategy, Business Development, Case Studies, Health Technology, Competitive Analysis, Value Propositions, New Product Development, Product Strategy

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Scikit Learn (Machine Learning Library), Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    DeepLearning.AI

    AI、機械学習、ディープラーニングのための TensorFlow 入門

    Skills you'll gain: Tensorflow, Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    University of Pennsylvania

    Deep Learning Essentials

    Skills you'll gain: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Structurer des projets d’apprentissage automatique

    Skills you'll gain: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Data Science, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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    IE Business School

    Agile Accelerator: Navigating Lean Startup, Agile, and Scrum

    Skills you'll gain: Lean Methodologies, Agile Methodology, Agile Product Development, Agile Project Management, Product Improvement, Sprint Planning, Business Process, Process Improvement, Product Development, Sprint Retrospectives, User Story

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Agile Scrum: Apply, Analyze & Certify as Scrum Master: EDUCBA
  • Game Development with MonoGame: 2D & 3D Projects: EDUCBA
  • Strategic Info Systems: Planning & Business Alignment: Northeastern University
  • Generative AI: Foundations and Concepts: Northeastern University
  • Réseaux neuronaux convolutifs: DeepLearning.AI
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Engaging in Enterprise Growth and Innovation: Northeastern University
  • Python per la Data Science: Università di Napoli Federico II
  • AI、機械学習、ディープラーニングのための TensorFlow 入門: DeepLearning.AI
  • Deep Learning Essentials: University of Pennsylvania

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