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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


  • G

    Georgetown University

    Bachelor of Arts in Liberal Studies

    Skills you'll gain: Data Storytelling, Vulnerability Assessments, Operations Management, Business Strategy, Competitive Intelligence, Design Thinking, Survey Creation, Cyber Threat Intelligence, Social Justice, Descriptive Statistics, Environment, Business Ethics, Capital Budgeting, Market Opportunities, Storytelling, Marketing Planning, International Relations, Artificial Intelligence, Policy Development, Political Sciences

    Earn a degree

    Degree · 1 - 4 Years

  • Status: New
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    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    Mixed · Course · 1 - 3 Months

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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Free Trial
    E

    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Programming Principles, Data Import/Export, Matlab, Exploratory Data Analysis, Scripting, Data Preprocessing, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    E

    EDUCBA

    Image Classification with Keras: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    EDUCBA

    Chatbots with Keras & NLP: Build & Evaluate

    Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Data Preprocessing, Text Mining, Recurrent Neural Networks (RNNs), Deep Learning, Model Evaluation, Tensorflow

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    G

    Google Cloud

    Create Image Captioning Models - 한국어

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Deep Learning, Computer Vision, Model Evaluation, Recurrent Neural Networks (RNNs)

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Google Cloud

    Attention Mechanism - 简体中文

    Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Developing a Google SRE Culture - 日本語版

    Skills you'll gain: Site Reliability Engineering, Safety Culture, Culture Transformation, Continuous Delivery, DevOps, Service Level, Continuous Integration, Performance Measurement, Performance Metric, Change Management, Design Thinking, Automation, Data-Driven Decision-Making, Prototyping

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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

  • Bachelor of Arts in Liberal Studies: Georgetown University
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Machine Learning with Small Data Part 2: Northeastern University
  • Octave Machine Learning: Apply, Analyze & Build: EDUCBA
  • Image Classification with Keras: Build & Optimize: EDUCBA
  • Chatbots with Keras & NLP: Build & Evaluate: EDUCBA
  • Create Image Captioning Models - 한국어: Google Cloud
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Attention Mechanism - 简体中文: Google Cloud

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