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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


  • C

    Clemson University

    Database Management Systems

    Skills you'll gain: Database Design, Database Management Systems, MySQL, Database Theory, Relational Databases, Databases, Data Modeling, Database Architecture and Administration, SQL, NoSQL, Diagram Design

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    52 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Introduction to Javascript and Ajax: Building Web Apps

    Skills you'll gain: Javascript, Ajax, JSON, Web Applications, Web Development, Scripting, Hypertext Markup Language (HTML), Object Oriented Programming (OOP), Event-Driven Programming, Web Services, Programming Principles, Prototyping, Network Protocols

    4.4
    Rating, 4.4 out of 5 stars
    ·
    48 reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    Duke University

    Introduction to Programming and Animation with Alice

    Skills you'll gain: Video Game Development, Animations, Event-Driven Programming, Animation and Game Design, Game Design, Storyboarding, 3D Assets, Programming Principles, Computer Graphics, Computer Programming, Scripting, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 3 Months

  • M

    Microsoft

    Product Launch and Post-Launch Management

    Skills you'll gain: AI Product Strategy, Product Lifecycle Management, Quality Assurance and Control, Product Quality (QA/QC), Product Management, Release Management, Sales Strategy, New Product Development, Performance Analysis, Responsible AI, Product Improvement, Product Marketing, Generative AI, Key Performance Indicators (KPIs), User Feedback, Risk Management, Data-Driven Decision-Making, Cross-Functional Collaboration

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    47 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    44 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    C++ Data Structures in the STL

    Skills you'll gain: C++ (Programming Language), Data Structures, File I/O, Data Store, Data Cleansing, Data Mapping, Data Integrity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • I

    Indian Institute of Science

    Sensor Technologies for Biomedical Applications

    Skills you'll gain: Engineering Documentation, Biomedical Engineering, Medical Devices, Medical Equipment and Technology, Vital Signs, Technical Documentation, Electronic Systems, Electronic Components, Electronics, Chemistry, Technical Communication, Semiconductors, ISO 13485 Standard, Materials science, Internet Of Things, Embedded Systems, Diagnostic Tests, Electrophysiology, Biology, Chemical Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California, Davis

    Predictive Models for Toxic Chemical Releases

    Skills you'll gain: Chemical Engineering, Hazard Analysis, Safety Assurance, Process Engineering, Engineering Analysis, Environmental Engineering, Engineering Calculations, Mathematical Modeling, Applied Mathematics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    56 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    Computational Social Science Capstone Project

    Skills you'll gain: Social Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Databases, Data Processing, Social Sciences, Trend Analysis, Data Collection, Unstructured Data, Simulations, Big Data, Machine Learning, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Build Intelligent Agents Using DeepSeek & N8N

    Skills you'll gain: Email Automation, Workflow Management, AI Workflows, No-Code Development, Deepseek, Large Language Modeling, Generative AI, Automation, Model Deployment, Data Analysis, Google Sheets, Data Processing, Gmail

    4.1
    Rating, 4.1 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Database Management Systems: Clemson University
  • Introduction to Javascript and Ajax: Building Web Apps: Johns Hopkins University
  • Introduction to Programming and Animation with Alice: Duke University
  • Product Launch and Post-Launch Management: Microsoft
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Foundations and Core Concepts of PyTorch: Packt
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • C++ Data Structures in the STL: Coursera
  • Sensor Technologies for Biomedical Applications: Indian Institute of Science
  • Predictive Models for Toxic Chemical Releases: University of California, Davis

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