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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


  • M

    Microsoft

    Advanced Python Development Techniques

    Skills you'll gain: Data Structures, Generative AI, Test Driven Development (TDD), Integration Testing, Unit Testing, Cloud Deployment, Python Programming, Object Oriented Programming (OOP), Cloud Applications, Serverless Computing, Cloud Computing, Microsoft Azure, Algorithms, Software Documentation, Object Oriented Design, Maintainability, Code Review, Program Development, Software Development, Software Design

    4.1
    Rating, 4.1 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Access Bioinformatics Databases with Biopython

    Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization, Data Wrangling, Database Software, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado System

    Data Science for Marketing

    Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Model Evaluation, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    Duke University

    GenAI and LLMs on AWS

    Skills you'll gain: Amazon Bedrock, Model Deployment, Large Language Modeling, MLOps (Machine Learning Operations), Amazon Web Services, AI Security, AI Workflows, Continuous Monitoring, Data Ethics, Responsible AI, Application Deployment, Generative AI, Serverless Computing, Cloud Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    WordPress 101 - The Complete Guide

    Skills you'll gain: WordPress, Web Design and Development, HTML and CSS, Web Analytics and SEO, Content Management Systems, Web Content, Cloud Hosting, Web Servers, Application Security

    4.4
    Rating, 4.4 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Michigan

    Learning Experience Design: Development and Evaluation

    Skills you'll gain: Program Evaluation, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Learning Management Systems, Professional Development, Content Creation, Design Strategies, Communication, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Comportamiento adaptativo

    Skills you'll gain: Artificial Intelligence, Algorithms, Simulations, Robotics, Network Analysis, Transportation Operations

    4.3
    Rating, 4.3 out of 5 stars
    ·
    32 reviews

    Intermediate · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Docker Basics for DevOps

    Skills you'll gain: Docker (Software), Containerization, DevOps, Linux Commands, Cloud-Native Computing, Command-Line Interface, Virtual Networking, Data Storage, Software Installation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    44 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google

    Network Architecture

    Skills you'll gain: Network Infrastructure, Cybersecurity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Building Intelligent Troubleshooting Agents

    Skills you'll gain: Large Language Modeling, Natural Language Processing, LLM Application, Generative AI Agents, Prompt Engineering, Test Case, Agentic systems, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, Debugging, Applied Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Classification Algorithms, Decision Support Systems, Model Evaluation, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    Universidade de São Paulo

    Redes Ecológicas

    Skills you'll gain: Network Analysis, Social Network Analysis, Data Visualization, Scientific Visualization, Graph Theory, Exploratory Data Analysis, Environmental Science, Data Analysis, R Programming, Data Science, Mathematical Modeling

    5
    Rating, 5 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    ISAE-SUPAERO

    New Space: Access to space - Basics

    Skills you'll gain: New Product Development, Emerging Technologies, Innovation, Sustainable Engineering, Engineering, Manufacturing Processes, Mechanical Engineering, Environmental Issue, Thermal Management, Chemistry, Physics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    56 reviews

    Beginner · Course · 1 - 3 Months

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

  • Advanced Python Development Techniques: Microsoft
  • Access Bioinformatics Databases with Biopython: Coursera
  • Data Science for Marketing: University of Colorado System
  • GenAI and LLMs on AWS: Duke University
  • WordPress 101 - The Complete Guide: Packt
  • Learning Experience Design: Development and Evaluation: University of Michigan
  • Comportamiento adaptativo: Universidad Nacional Autónoma de México
  • Docker Basics for DevOps: KodeKloud
  • Network Architecture: Google
  • Building Intelligent Troubleshooting Agents: Microsoft

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