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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


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    U

    University of Colorado Boulder

    Basic Ideas in Computing Security

    Skills you'll gain: Cybersecurity, Vulnerability Management, Multi-Factor Authentication

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze Data Using R for Statistical Analytics

    Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Analysis, R Programming, Visualization (Computer Graphics), Predictive Analytics, Statistical Modeling, Data Structures, Time Series Analysis and Forecasting, Regression Analysis, Programming Principles, Decision Tree Learning

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming

    Intermediate · Specialization · 1 - 3 Months

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    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, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    User Segmentation, Experimentation, and Retention Analytics

    Skills you'll gain: Customer Retention, Customer Analysis, Marketing Analytics, Customer Insights, Sample Size Determination, Analytics, User Research, Product Management, Trend Analysis, Statistical Inference, Data-Driven Decision-Making, Business Intelligence, Unsupervised Learning, Analysis, Statistical Analysis, Performance Measurement, Scikit Learn (Machine Learning Library), Strategic Decision-Making, Algorithms

    Intermediate · Course · 1 - 3 Months

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    Packt

    Introduction to Fundamental Data Structures and Techniques

    Skills you'll gain: Data Structures, Algorithms, Programming Principles, Computational Thinking

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Design and Render a 3D Urban Duplex in SketchUp

    Skills you'll gain: SketchUp (3D Modeling Software), 3D Modeling, Architectural Design, Visualization (Computer Graphics), Computer Graphics, Computer Graphic Techniques, Layout Design

    Beginner · Course · 1 - 4 Weeks

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    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Alberta

    Mountains 101

    Skills you'll gain: Hydrology, Physical Science, Biology, Water Resources, Hazard Analysis, Environment and Resource Management, Accident Prevention, Climate Change Adaptation, Environmental Science, Risk Management, Physiology, World History

    4.9
    Rating, 4.9 out of 5 stars
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    2.6K reviews

    Mixed · Course · 1 - 3 Months

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    Logical Operations

    Introduction to Programming with Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, File I/O, Debugging, Data Processing, Application Development, File Management, File Systems, Programming Principles, Computer Programming, Python Programming, Scripting, Scripting Languages, Operating Systems, Software Development, Virtual Machines, Cross Platform Development

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Analyze and Optimize Fusion Algorithms

    Skills you'll gain: Algorithms, Systems Analysis, Resource Utilization, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    Stanford University

    Graph Search, Shortest Paths, and Data Structures

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Theoretical Computer Science, Network Routing, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 4 Weeks

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1…596061…834

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

  • Basic Ideas in Computing Security: University of Colorado Boulder
  • Analyze Data Using R for Statistical Analytics: EDUCBA
  • ML Production Systems: Coursera
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • User Segmentation, Experimentation, and Retention Analytics: Coursera
  • Introduction to Fundamental Data Structures and Techniques: Packt
  • Design and Render a 3D Urban Duplex in SketchUp: EDUCBA
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Mountains 101: University of Alberta
  • Introduction to Programming with Python: Logical Operations

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