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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


  • U

    University of California San Diego

    Teaching Impacts of Technology in K-12 Education

    Skills you'll gain: Big Data, Cybersecurity, Pedagogy, Student Engagement, Blockchain, Digital pedagogy, Algorithms, Data Security, Teaching, digital literacy, Cryptography, Technical Communication, Diversity Awareness, K-12 pedagogy, Information Privacy, Emerging Technologies, Computer Networking, Digital Transformation, Diversity Equity and Inclusion Initiatives, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    Imperial College London

    Foundations in Virology and Vaccinology

    Skills you'll gain: Immunology, Infectious Diseases, Molecular Biology, Epidemiology, Microbiology, Public Health, Drug Development, Biotechnology, Medical Science and Research, Climate Change Programs, Cell Biology, Health Disparities, Biology, Clinical Trials, Laboratory Research, Pharmacology, Public Health and Disease Prevention, New Product Development, Emerging Technologies, Manufacturing Processes

    4.9
    Rating, 4.9 out of 5 stars
    ·
    88 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74 reviews

    Intermediate · Specialization · 1 - 3 Months

  • S

    Siemens

    Introduction to Model-Based Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Unified Modeling Language, Systems Engineering, Systems Design, Software Systems, Systems Architecture, Systems Analysis, Product Lifecycle Management, System Requirements, Requirements Analysis, Verification And Validation, Cloud Computing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    71 reviews

    Beginner · Course · 1 - 3 Months

  • N

    New York University

    Richard Schechner's Introduction to Performance Studies

    Skills you'll gain: Performing Arts, Art History, Peer Review, Music Performance, World History, Intercultural Competence, Culture, Music, Ancient History, Cultural Diversity, Sociology, Anthropology, Storytelling, Media and Communications, Electronic Media

    4.8
    Rating, 4.8 out of 5 stars
    ·
    84 reviews

    Beginner · Course · 3 - 6 Months

  • U

    University of California, Davis

    Introduction to Sensory Science

    Skills you'll gain: Food and Beverage, Consumer Behaviour, Quality Assurance, Laboratory Testing, Product Testing, Usability Testing, Science and Research, Data Collection, Nutrition and Diet, Surveys, Scientific Methods, Research, Psychology, Acceptance Testing, Analytical Testing, Biology, Product Development, Analytical Skills, Medical Science and Research, Physiology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Learning MEAN Stack by Building Real world Application

    Skills you'll gain: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, JavaScript Frameworks, User Interface (UI), Application Deployment, Application Frameworks, Back-End Web Development, Front-End Web Development, Hypertext Markup Language (HTML), MongoDB, User Interface (UI) Design, Web Design, Middleware, Bootstrap (Front-End Framework), jQuery, Javascript, Databases, Cascading Style Sheets (CSS)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    65 reviews

    Intermediate · Specialization · 1 - 3 Months

  • M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Visualization for Data Journalism

    Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Presentation, Infographics, Data Visualization Software, Data Storytelling, Plotly, Matplotlib, Journalism, Graphing, Data Literacy, Color Theory, Data Manipulation, Design Elements And Principles, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    69 reviews

    Beginner · Course · 1 - 3 Months

  • H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    83 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Teaching Impacts of Technology in K-12 Education: University of California San Diego
  • Foundations in Virology and Vaccinology: Imperial College London
  • Computer Vision: University of Colorado Boulder
  • Introduction to Model-Based Systems Engineering: Siemens
  • Richard Schechner's Introduction to Performance Studies : New York University
  • Introduction to Sensory Science: University of California, Davis
  • Learning MEAN Stack by Building Real world Application: Board Infinity
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Visualization for Data Journalism: University of Illinois Urbana-Champaign
  • Practical Machine Learning on H2O: H2O.ai

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