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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.


More to explore:

Popular Material Science Courses and Certifications


  • L

    LearnQuest

    Linux Fundamentals

    Skills you'll gain: Linux, Linux Commands, Ubuntu, Linux Administration, File Management, Command-Line Interface, Servers, Operating Systems, Web Servers, IT Automation, MySQL, Open Source Technology, Service Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    959 reviews

    Beginner · Course · 1 - 4 Weeks

  • T

    The Hong Kong University of Science and Technology

    Vector Calculus for Engineers

    Skills you'll gain: Integral Calculus, Engineering Calculations, Calculus, Engineering Analysis, electromagnetics, Engineering, Geometry, Advanced Mathematics, Mechanical Engineering, Applied Mathematics, Mechanics, Electrical Engineering, Physics, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Florida

    The Science of Training Young Athletes

    Skills you'll gain: Sports Medicine, Coaching, Athletic Training, Pediatrics, Exercise Science, Physiology, Kinesiology, Child Development, Working With Children, Anatomy, Training Programs, Injury Prevention, Coordination, Nutrition and Diet, Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    984 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    610 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Michigan

    Anatomy: Human Neuroanatomy

    Skills you'll gain: Anatomy, Neurology, Physiology, Medical Terminology

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Toronto

    Learn to Program: Crafting Quality Code

    Skills you'll gain: Data Structures, Test Automation, Object Oriented Programming (OOP), Unit Testing, Python Programming, Program Development, Algorithms, Test Case, Software Testing, Debugging, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    730 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Ancient Philosophy: Aristotle and His Successors

    Skills you'll gain: Ancient History, Liberal Arts, Ethical Standards And Conduct, Research, European History, World History, Anthropology, Political Sciences, Psychology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    776 reviews

    Mixed · Course · 1 - 3 Months

  • S

    Stanford University

    Social and Economic Networks: Models and Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    759 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Python Project for Data Engineering

    Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Management, Databases, Unit Testing, SQL Server Integration Services (SSIS), Data Transformation, Package and Software Management, Application Programming Interface (API), Data Pipelines, Python Programming, Programming Principles

    4.6
    Rating, 4.6 out of 5 stars
    ·
    844 reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Science and Research, Statistical Analysis, Statistical Modeling, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    850 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Cambridge

    Introduction to Cognitive Psychology and Neuropsychology

    Skills you'll gain: Human Learning, Psychology, Magnetic Resonance Imaging, Medical Imaging, Neurology, Research Methodologies, Research, Human Development, Learning Theory, Scientific Methods, Child Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    88 reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Linux Fundamentals: LearnQuest
  • Vector Calculus for Engineers: The Hong Kong University of Science and Technology
  • The Science of Training Young Athletes: University of Florida
  • The Nuts and Bolts of Machine Learning: Google
  • Anatomy: Human Neuroanatomy: University of Michigan
  • Learn to Program: Crafting Quality Code: University of Toronto
  • Ancient Philosophy: Aristotle and His Successors: University of Pennsylvania
  • Social and Economic Networks: Models and Analysis: Stanford University
  • Python Project for Data Engineering: IBM
  • Principles of fMRI 1: Johns Hopkins University

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