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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.


Popular Computational Thinking Courses and Certifications


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    U

    University of Virginia

    اجتماع النهج الرشيق (Agile) والتفكير التصميمي

    Skills you'll gain: User Story, Agile Product Development, Agile Methodology, Design Thinking, User Research, Product Development, User Centered Design, Interviewing Skills, Usability Testing, Innovation, Team Oriented, Persona Development

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
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    11 reviews

    Intermediate · Specialization · 3 - 6 Months

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    I

    Illinois Tech

    Cloud Computing Technologies - Bachelor's

    Skills you'll gain: Cloud-Native Computing, Infrastructure as Code (IaC), Cloud Computing, Terraform, Cloud Storage, Amazon Web Services, Cloud Infrastructure, Cloud Computing Architecture, Amazon S3, Cloud Deployment, Amazon Elastic Compute Cloud, Database Management, Scalability, Virtual Machines, Databases, Virtualization, Command-Line Interface

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression

    Intermediate · Course · 1 - 3 Months

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    U

    Universitat Autònoma de Barcelona

    Educación superior y emprendimiento

    Skills you'll gain: Higher Education, Adult Education, Student-Centred Learning, Curriculum Planning, Course Development, Pedagogy, Entrepreneurship, Teaching, Sustainable Development, Curriculum Development, Training and Development, Training Programs, Instructional Strategies, Design Thinking, Student Engagement, Creative Problem-Solving, Social Impact, Collaboration, Innovation, Project Design

    4.9
    Rating, 4.9 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    GenAI and Model Selection

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Large Language Modeling, Strategic Decision-Making, Systems Integration, Scalability, Innovation

    Intermediate · Course · 1 - 4 Weeks

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    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    R

    Rice University

    Physics of Light and Materials

    Skills you'll gain: Physics, electromagnetics, Materials science, Mechanics, Physical Science, Vibrations, Trigonometry, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Engineering Analysis, Differential Equations, Applied Mathematics, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    S

    Skillshare

    Using AI & ChatGPT for Content: Research & Planning

    Skills you'll gain: Storytelling, Content Strategy, ChatGPT, Content Creation, Content Marketing, Target Audience, AI Personalization, Persona Development, User Research, Problem Solving, Writing and Editing, Brainstorming, Ideation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

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

  • اجتماع النهج الرشيق (Agile) والتفكير التصميمي: University of Virginia
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Foundations of Neural Networks: Johns Hopkins University
  • Cloud Computing Technologies - Bachelor's: Illinois Tech
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Educación superior y emprendimiento: Universitat Autònoma de Barcelona
  • GenAI and Model Selection: Coursera
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Physics of Light and Materials: Rice University

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