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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

    Coursera

    Algorithmic Solutions: Design, Problem Solving, Reporting

    Skills you'll gain: Algorithms, Technical Communication, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Data Structures, Problem Management, Mathematical Modeling, Computer Science

    4.3
    Rating, 4.3 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • 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

  • C

    Coursera

    Deep Learning with PyTorch : Object Localization

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 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 Michigan

    The Basics of Rocket Science

    Skills you'll gain: Mechanics, Engineering, Physics, Trigonometry, Calculus, Chemical Engineering, Mathematical Modeling, Electrical Power

    4.9
    Rating, 4.9 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Introduction to PySpark

    Skills you'll gain: PySpark, Apache Spark, Data Management, Distributed Computing, Apache Hadoop, Data Processing, Data Analysis, Exploratory Data Analysis, Python Programming, Scalability

    3.7
    Rating, 3.7 out of 5 stars
    ·
    50 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Algorithmic Solutions: Design, Problem Solving, Reporting: Coursera
  • Foundations and Core Concepts of PyTorch: Packt
  • New Space: Access to space - Basics: ISAE-SUPAERO
  • Deep Learning with PyTorch : Object Localization: Coursera
  • Data Science Project: MATLAB for the Real World: MathWorks
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • 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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