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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 London

    How Computers Work

    Skills you'll gain: Computer Science, Computer Systems, Web Applications, Computer Literacy, General Networking, Network Security, Computer Networking, Application Security, Computational Thinking, Debugging, Cybersecurity, Problem Management

    ★ 4.6 (581) · Beginner · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark

    Skills you'll gain: Apache Spark, Apache Hadoop, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Persistence, Data Transformation, SQL, Data Import/Export

    ★ 4.6 (2.6K) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of California, Irvine

    Programming with Google Go

    Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, C (Programming Language), Python Programming, Data Import/Export, Algorithms, Memory Management, OS Process Management, Data Structures, System Programming, File I/O, Computational Logic, Network Protocols, Theoretical Computer Science, Package and Software Management, Operating Systems, Computer Architecture, Data Sharing

    ★ 4.6 (3K) · Intermediate · Specialization · 1 - 3 Months

  • T

    The University of Edinburgh

    The Truth About Cats and Dogs

    Skills you'll gain: Culture, Sensory Systems Analysis, Positive Behavior Support, Behavior Management, Scientific Methods, Non-Verbal Communication, Ethical Standards And Conduct, Science and Research, Research, Biology

    ★ 4.8 (2.4K) · Mixed · Course · 1 - 3 Months

  • M

    Meta

    Advanced React

    Skills you'll gain: Jest (JavaScript Testing Framework), React.js, Web Development Tools, JavaScript Frameworks, Code Reusability, Application Programming Interface (API), Unit Testing, UI Components, Front-End Web Development, Software Design Patterns, Javascript, Development Environment, Context Management

    ★ 4.6 (1.5K) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Computer Vision, Neurology, Mathematical Software, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution

    ★ 4.6 (1.1K) · Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

    Skills you'll gain: Image Quality, Digital Signal Processing, Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Medical Imaging, Applied Mathematics, Sensory Systems Analysis, Spatial Analysis, Linear Algebra, Matlab, Mathematical Modeling, Histogram, Differential Equations

    ★ 4.7 (1.1K) · Mixed · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    ★ 4.7 (2.1K) · Intermediate · Course · 1 - 3 Months

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    ★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Data Science Ethics

    Skills you'll gain: Data Ethics, Data Validation, Data Management, Data Collection, Data Analysis, Algorithms, Social Impact, Bayesian Statistics, Policy Analysis

    ★ 4.7 (1.3K) · Beginner · Course · 1 - 3 Months

  • F

    Fractal Analytics

    Fractal Data Science

    Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Model Evaluation, Feature Engineering, Model Deployment, Interactive Data Visualization, Data Wrangling, Critical Thinking and Problem Solving, Data Analysis Expressions (DAX), Human Centered Design, SQL, Machine Learning, Problem Solving, Python Programming

    ★ 4.4 (585) · Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of Colorado Boulder

    Data Science Foundations: Statistical Inference

    Skills you'll gain: Probability, Statistical Hypothesis Testing, Statistical Inference, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Bayesian Statistics, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Data Ethics, Data Analysis, Correlation Analysis, Data Science, Sample Size Determination, Artificial Intelligence

    ★ 4.4 (360) · Intermediate · Specialization · 3 - 6 Months

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

  • How Computers Work: University of London
  • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
  • Programming with Google Go: University of California, Irvine
  • The Truth About Cats and Dogs: The University of Edinburgh
  • Advanced React: Meta
  • Computational Neuroscience: University of Washington
  • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Data Science Ethics: University of Michigan

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