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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

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

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    Packt

    The Power of the Agile Business Analyst

    Skills you'll gain: Agile Methodology, User Story, Agile Software Development, Business Analysis, Sprint Retrospectives, Agile Project Management, Agile Product Development, Team Building, Process Design, Scrum (Software Development), Risk Management, Business Requirements, User Acceptance Testing (UAT), Business Valuation, Requirements Analysis, Project Management, Prioritization

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Create Image Captioning Models - 简体中文

    Skills you'll gain: Image Analysis, Model Evaluation, Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Computer Vision, Vision Transformer (ViT), Tensorflow, Data Preprocessing

    Advanced · Course · 1 - 4 Weeks

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    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

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    EDUCBA

    Sentiment Analysis with RNNs in Keras

    Skills you'll gain: Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Model Evaluation, Natural Language Processing, Text Mining, Data Preprocessing, Deep Learning, Tensorflow, Google Cloud Platform, Matplotlib

    Mixed · Course · 1 - 4 Weeks

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    H2O.ai

    H2O Gen AI Ecosystem Overview - Level 2

    Skills you'll gain: Model Deployment, Generative AI, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Advanced Analytics, Artificial Intelligence, Deep Learning, Data Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Developing an Experimenter's Mindset for Business

    Skills you'll gain: Innovation, User Feedback, Growth Mindedness, Resilience, Adaptability, Open Mindset, Entrepreneurship, Creative Problem-Solving, Strategic Thinking, Lifelong Learning, Market Research, Sustainable Business, Continuous Improvement Process, Business, Data-Driven Decision-Making

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    생성형 AI: 기본 개념 이해

    Skills you'll gain: Generative AI, Responsible AI, Google Cloud Platform, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Large Language Modeling, Deep Learning, Business Logic, Data Access

    Beginner · 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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    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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    Packt

    Orchestrating Experiences: Designing Consistent UX Journeys

    Skills you'll gain: Experience Design, Design Strategies, Service Design, Customer experience improvement, User Experience Design, Customer Engagement, UI/UX Strategy, User Interface and User Experience (UI/UX) Design, Design Research, Customer Insights, Business Analysis, Process Mapping, Cross-Functional Collaboration, Business Strategy, Stakeholder Engagement, Product Strategy, Prioritization, Ideation

    Beginner · Course · 1 - 3 Months

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    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

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

  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • The Power of the Agile Business Analyst: Packt
  • Create Image Captioning Models - 简体中文: Google Cloud
  • Create Image Captioning Models - 한국어: Google Cloud
  • Sentiment Analysis with RNNs in Keras: EDUCBA
  • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai
  • Developing an Experimenter's Mindset for Business: Packt
  • 생성형 AI: 기본 개념 이해: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA

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