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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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    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Preprocessing, Data Manipulation, Linear Algebra, Software Installation

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Business Strategy: Analyze, Apply & Transform

    Skills you'll gain: Strategic Decision-Making, Corporate Strategy, Business Strategies, Business Strategy, Business Ethics, Strategic Planning, Growth Strategies, Strategic Thinking, Organizational Strategy, Environmental Social And Corporate Governance (ESG), Strategic Prioritization, Business Planning, Operational Efficiency, Business Process Reengineering, Organizational Effectiveness, Operational Analysis, Corporate Sustainability, Competitive Analysis, Market Share, Portfolio Management

    Mixed · Course · 1 - 4 Weeks

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    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Artificial Neural Networks, Embeddings, Transfer Learning, Hugging Face, Data Processing, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    The Complete Java Developer Course: From Beginner to Master

    Skills you'll gain: Java, Java Programming, File I/O, Object Oriented Programming (OOP), Data Structures, Computer Programming, Android Development, Application Development, Integrated Development Environments, Algorithms, Debugging, Problem Solving

    Beginner · Course · 1 - 3 Months

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    Coursera

    Power Platform & SPFx: SharePoint Dev Essentials

    Skills you'll gain: Microsoft Power Automate/Flow, Microsoft Power Platform, No-Code Development, Workflow Management, Process Improvement, Business Process Automation, Application Development, Decision Making, Design Software, Application Deployment, React.js, Power Electronics, Systems Integration, Governance

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Cloud Deployment, Deep Learning, MLOps (Machine Learning Operations), Data Preprocessing, Machine Learning Methods, Artificial Neural Networks, Data Pipelines, Application Programming Interface (API)

    Intermediate · 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

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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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    Google Cloud

    Create Image Captioning Models - Português Brasileiro

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

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    Create Image Captioning Models - Bahasa Indonesia

    Skills you'll gain: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Deployment, Embeddings, Model Evaluation, Data Preprocessing, Recurrent Neural Networks (RNNs)

    Advanced · Course · 1 - 4 Weeks

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

  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • Business Strategy: Analyze, Apply & Transform: EDUCBA
  • 시퀀스 모델: DeepLearning.AI
  • The Complete Java Developer Course: From Beginner to Master: Packt
  • Power Platform & SPFx: SharePoint Dev Essentials: Coursera
  • Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Statistical Learning for Engineering Part 1: Northeastern University

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