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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


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    IE Business School

    Competitive Interactions and Disruptive Change

    Skills you'll gain: Market Dynamics, Competitive Analysis, Market Trend, Market Share, Trend Analysis, Case Studies, Market Analysis, Business Economics, Strategic Marketing, Business Strategies, Business Strategy, Strategic Thinking, Corporate Strategy, Benchmarking

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Fundamentals of Integrated Brand Promotion

    Skills you'll gain: Branding, Advertising, Consumer Behaviour, Brand Management, Brand Strategy, Integrated Marketing Communications, Advertising Campaigns, Marketing Communications, Brand Awareness, Marketing, Promotional Strategies, Media Planning, Digital Advertising, Media Strategy, Design Thinking

    Beginner · Course · 1 - 4 Weeks

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    IE Business School

    Agile Accelerator: Navigating Lean Startup, Agile, and Scrum

    Skills you'll gain: Lean Methodologies, Agile Methodology, Agile Product Development, Agile Project Management, Product Improvement, Sprint Planning, Business Process, Process Improvement, Product Development, Sprint Retrospectives, User Story

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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    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

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    Pearson

    Learning Deep Learning

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts

    Intermediate · Specialization · 1 - 4 Weeks

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    University of Minnesota

    Modeling, IC Processes and Emerging Microtechnology

    Skills you'll gain: Finite Element Methods, Semiconductors, Electronic Systems, Computer Architecture, Manufacturing Processes, Process Engineering, Emerging Technologies, Simulation and Simulation Software, Mathematical Modeling, Electronic Components, Micrometer, Artificial Intelligence, Scalability

    Mixed · Course · 1 - 4 Weeks

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    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    University of Lausanne

    Healthy Urban systems Part 2 : Theories, models and tools

    Skills you'll gain: Health Systems, Systems Thinking, Health Policy, Public Health, Model Based Systems Engineering, Community Health, Simulation and Simulation Software, Systems Analysis, Mathematical Modeling, Sustainable Systems, Social Determinants Of Health, Environmental Policy

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Üretken Yapay Zekaya Giriş

    Skills you'll gain: Generative AI, Generative Model Architectures, Prompt Engineering Tools, Deep Learning, Supervised Learning

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing

    Intermediate · Course · 1 - 3 Months

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    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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    University of Minnesota

    Market Analysis

    Skills you'll gain: Customer Acquisition Management, Target Market, Market Opportunities, Competitive Analysis, Go To Market Strategy, Persona Development, Value Propositions, Strategic Partnership, New Business Development, Product Management, Business Strategy, Business Modeling, Product Lifecycle Management, Product Requirements

    Beginner · Course · 1 - 3 Months

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

  • Competitive Interactions and Disruptive Change: IE Business School
  • Fundamentals of Integrated Brand Promotion: Northeastern University
  • Agile Accelerator: Navigating Lean Startup, Agile, and Scrum: IE Business School
  • Electrifying the Journey: On-Board Charging Systems for EVs : Starweaver
  • Learning Deep Learning: Pearson
  • Modeling, IC Processes and Emerging Microtechnology: University of Minnesota
  • Statistical Methods for Data Science: Ball State University
  • Healthy Urban systems Part 2 : Theories, models and tools : University of Lausanne
  • Üretken Yapay Zekaya GiriÅŸ: Google Cloud
  • Foundations of Deep Learning and Neural Networks: Packt

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