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  • Material Science

Material Science Courses

Material science courses can help you learn about the properties of materials, material selection, nanotechnology, and the principles of thermodynamics. You can build skills in analyzing material behavior, conducting experiments, and applying statistical methods to interpret data. Many courses introduce tools such as scanning electron microscopes, X-ray diffraction, and software for modeling material properties, that support practical applications in industries like aerospace, electronics, and biomedical engineering.


Popular Material Science Courses and Certifications


  • I

    IBM

    Preparation for CompTIA A+ Certification

    Skills you'll gain: Command-Line Interface, Network Security, Hardware Troubleshooting, Operating Systems, Network Troubleshooting, Network Infrastructure, Computer Hardware, Mac OS, Microsoft Windows, Information Systems Security, System Configuration, Computer Networking, Mobile Security, Technical Support and Services, System Support, Linux, General Networking, Operating System Administration, Data Storage, Active Directory

    4.6
    Rating, 4.6 out of 5 stars
    ·
    280 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    291 reviews

    Beginner · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

    Skills you'll gain: Computational Logic, Artificial Intelligence, Simulations, Scenario Testing, Programming Principles, Computational Thinking, Algorithms, Business Logic, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    322 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI Agents, Large Language Modeling, Generative AI, Hugging Face, Embeddings, PyTorch (Machine Learning Library)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    199 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Python and Pandas for Data Engineering

    Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Virtual Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    270 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Full Stack Application Development Capstone Project

    Skills you'll gain: CI/CD, Full-Stack Web Development, Application Design, Node.JS, Django (Web Framework), Back-End Web Development, Web Applications, Front-End Web Development, Restful API, Application Development, GitHub, Microservices, Kubernetes, User Accounts, Cloud Deployment, IBM Cloud, Containerization, React.js, MongoDB, Javascript

    4.6
    Rating, 4.6 out of 5 stars
    ·
    202 reviews

    Advanced · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Comunicación, experimentación y aprendizaje en liderazgo

    Skills you'll gain: Emotional Intelligence, Teamwork, Community Organizing, Team Management, Leadership, Strategic Leadership, Empathy, Conflict Management, Social Media, Systems Thinking, Communication, Active Listening

    4.8
    Rating, 4.8 out of 5 stars
    ·
    568 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, AI Security, Social Impact, Information Privacy, Accountability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    311 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Medical Imaging, Spatial Analysis, Data Preprocessing, Quantitative Research, Algorithms, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    250 reviews

    Beginner · Specialization · 1 - 3 Months

  • A

    Amazon Web Services

    Exam Prep: AWS Certified Solutions Architect - Associate

    Skills you'll gain: Amazon Web Services, Cloud Computing Architecture, Software Architecture, AWS Identity and Access Management (IAM), Solution Architecture, AWS CloudFormation, Amazon Elastic Compute Cloud, Cloud Deployment, Amazon S3, Cloud Security, Amazon CloudWatch, Serverless Computing, Amazon DynamoDB, Network Architecture, Scalability, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
    ·
    246 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    217 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular material science courses

  • Preparation for CompTIA A+ Certification: IBM
  • Logistic Regression with NumPy and Python: Coursera
  • Microsoft Azure Machine Learning: Microsoft
  • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
  • Fundamentals of AI Agents Using RAG and LangChain: IBM
  • Python and Pandas for Data Engineering: Duke University
  • Full Stack Application Development Capstone Project: IBM
  • Comunicación, experimentación y aprendizaje en liderazgo: Universidad de los Andes
  • Generative AI: Impact, Considerations, and Ethical Issues: IBM
  • Image Processing for Engineering and Science: MathWorks

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