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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.


More to explore:

Popular Computational Thinking Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Intro to TensorFlow 日本語版

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Feature Engineering, Google Cloud Platform, Data Pipelines, Jupyter, Machine Learning Methods, Deep Learning, Data Preprocessing, Embeddings

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    JavaScript essentials for Node-RED

    Skills you'll gain: Computational Logic, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    컨볼루션 신경망

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Classification Algorithms, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Debugging, Machine Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Simulation for Digital Transformation

    Skills you'll gain: Simulation and Simulation Software, Digital Transformation, Systems Thinking, Complex Problem Solving, Operations Research, Predictive Analytics, Data-Driven Decision-Making, Verification And Validation, Process Optimization, Data Integration, Risk Management, Python Programming, Event-Driven Programming, Probability & Statistics, Performance Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Visión artificial contemporánea

    Skills you'll gain: Computer Vision, Vision Transformer (ViT), Convolutional Neural Networks, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Autoencoders, Unsupervised Learning, 3D Assets

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    User Experience Design and Testing Part 2

    Skills you'll gain: User Experience Design, Figma (Design Software), Design Thinking, Interaction Design, User Interface (UI) Design, Usability Testing, Prototyping, Wireframing, Software Testing, Information Architecture, White-Box Testing, No-Code Development, Quality Assurance

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    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

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Повышение эффективности глубоких нейросетей

    Skills you'll gain: Tensorflow, Deep Learning, Data Compilation, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Performance Tuning, Machine Learning Algorithms, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Healthcare Quality Improvement and Decision-Making

    Skills you'll gain: Health Care Administration, Patient Safety, Healthcare Project Management, Leadership, Continuous Quality Improvement (CQI), Safety Standards, Health Informatics, Decision Making, Teamwork, Reliability, Risk Management, Patient-centered Care, Collaboration, Problem Solving, Communication Strategies

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Améliorez les réseaux neuronaux profonds

    Skills you'll gain: Deep Learning, Tensorflow, Model Evaluation, Applied Machine Learning, Artificial Neural Networks, Machine Learning Methods, Performance Tuning, Machine Learning, Data Validation, Debugging, Algorithms

    Beginner · Course · 1 - 4 Weeks

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

  • Intro to TensorFlow 日本語版: Google Cloud
  • JavaScript essentials for Node-RED: Packt
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • 컨볼루션 신경망: DeepLearning.AI
  • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
  • Simulation for Digital Transformation: Dartmouth College
  • Visión artificial contemporánea: Universidad de los Andes
  • User Experience Design and Testing Part 2: Northeastern University
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Повышение эффективности глубоких нейросетей: DeepLearning.AI

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