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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


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    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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    New
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    N

    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Transfer Learning, Small Data, Deep Learning, Applied Machine Learning, Data Preprocessing, Unsupervised Learning, Machine Learning, Generative AI, Supervised Learning, Model Evaluation

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    XHTML - Server Side Programming with PHP

    Skills you'll gain: PHP (Scripting Language), Web Applications, Server Side, Web Development, HTML and CSS, Web Servers, Programming Principles, Development Environment, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

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    U

    University of Virginia

    디지털 전환

    Skills you'll gain: Digital Transformation, Business Transformation, Technology Strategies, Design Thinking, Product Lifecycle Management, Business Process Reengineering, Business Strategies, Market Dynamics, Competitive Analysis, Business Economics, Emerging Technologies, Innovation, Market Analysis, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Miro for Beginners: Create a Product Innovation Board

    Skills you'll gain: Collaborative Software, Brainstorming, Innovation, Design Thinking, Ideation, New Product Development, Product Development, Collaboration, Analysis, Project Management

    Beginner · Guided Project · Less Than 2 Hours

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    S

    Starweaver

    Electrifying the Journey: On-Board Charging Systems for EVs

    Skills you'll gain: Power Electronics, Electrical Systems, Electric Power Systems, Basic Electrical Systems, Electrical Engineering, Electrical Safety, Environmental Regulations, Technical Standard, Sustainable Technologies, Thermal Management, Interoperability, Control Systems, Systems Integration, Emerging Technologies

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    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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    L

    Ludwig-Maximilians-Universität München (LMU)

    الاستراتيجية التنافسية

    Skills you'll gain: Business Strategy, Game Theory, Competitive Analysis, Strategic Thinking, Product Strategy, Strategic Partnership, Strategic Decision-Making, Market Analysis, Market Dynamics, New Product Development, Innovation, Product Development

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    N

    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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    B

    Board Infinity

    DeepSeek Essentials: From Foundations to Real-World Use

    Skills you'll gain: Deepseek, Hugging Face, Large Language Modeling, LLM Application, AI Personalization, ChatGPT, Deep Learning, Open Source Technology, AI Enablement, Model Deployment, Business Modeling, Applied Machine Learning, Analytical Skills, Application Programming Interface (API), Business Process Automation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidades Anáhuac

    Gestión Estratégica con Pensamiento Sistémico

    Skills you'll gain: Systems Thinking, Organizational Strategy, Strategic Decision-Making, Innovation, Complex Problem Solving, Organizational Effectiveness, Decision Making, Business Strategy, Creative Thinking, Performance Measurement, Business Management

    Mixed · Course · 1 - 3 Months

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

  • 신경망 및 딥 러닝: DeepLearning.AI
  • Machine Learning with Small Data Part 1: Northeastern University
  • XHTML - Server Side Programming with PHP: EDUCBA
  • Deep Neural Network for Beginners Using Python: Packt
  • 디지털 전환: University of Virginia
  • Miro for Beginners: Create a Product Innovation Board: Coursera
  • Electrifying the Journey: On-Board Charging Systems for EVs : Starweaver
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • الاستراتيجية التنافسية : Ludwig-Maximilians-Universität München (LMU)
  • Generative AI: Foundations and Concepts: Northeastern University

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