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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


  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Automated Reasoning: satisfiability

    Skills you'll gain: Computational Logic, Combinatorics, Logical Reasoning, Mathematical Modeling, Theoretical Computer Science, Applied Mathematics, Algorithms, Linear Algebra, Verification And Validation, Arithmetic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • W

    Wesleyan University

    Data Analysis and Interpretation Capstone

    Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Analysis, Data Visualization, Analytical Skills, Report Writing, Data Science, Data Management, Big Data, Statistical Analysis, Real Time Data, Research, Research Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    48 reviews

    Mixed · Course · 1 - 4 Weeks

  • M

    Microsoft

    Prepare for AZ-204: Developing Solutions for Microsoft Azure

    Skills you'll gain: Cloud Development, Microsoft Azure, Software Development, Cloud Deployment, Cloud Applications, Application Deployment, Design Strategies, Data Storage

    4.7
    Rating, 4.7 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Test-Driven Development

    Skills you'll gain: Continuous Delivery, Test Driven Development (TDD), Unit Testing, Continuous Deployment, Continuous Integration, Agile Methodology, Test Automation, Code Review, Maintainability, Software Development, Mockups, Software Development Methodologies, Test Case, Development Testing, Testability, Software Testing, Debugging, Python Programming, Version Control

    4
    Rating, 4 out of 5 stars
    ·
    81 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Alberta

    Arctic Development

    Skills you'll gain: Natural Resource Management, Climate Change Adaptation, Sustainable Development, Community Development, Environmental Resource Management, Policy Development, Environmental Policy, Case Studies, Environment, International Relations, Environmental Science, Socioeconomics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    MV Substation - An industrial approach (PART-A)

    Skills you'll gain: Electrical Substation, Control Systems, Electrical Systems, High Voltage, Electrical Equipment, Electric Power Systems, Low Voltage, Electrical Power, Electrical Safety, Basic Electrical Systems, Three-Phase, Wiring Diagram, Schematic Diagrams, Technical Standard, Construction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Siemens

    Introduction to Solid Edge

    Skills you'll gain: Design Software, Data Import/Export, User Experience, Engineering Software, Technical Design, 3D Assets, Graphical Tools

    4.7
    Rating, 4.7 out of 5 stars
    ·
    79 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Data Modeling, Data Analysis, Logistic Regression, Descriptive Analytics, Forecasting, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado System

    Clinical Data Models and Data Quality Assessments

    Skills you'll gain: Extract, Transform, Load, Data Modeling, Clinical Data Management, Database Design, Data Warehousing, Data Quality, Data Transformation, Data Integration, Health Informatics, Relational Databases, SQL

    4.2
    Rating, 4.2 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    64 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Automated Reasoning: satisfiability: 28DIGITAL
  • Data Analysis and Interpretation Capstone: Wesleyan University
  • Prepare for AZ-204: Developing Solutions for Microsoft Azure: Microsoft
  • Test-Driven Development: LearnQuest
  • Arctic Development: University of Alberta
  • MV Substation - An industrial approach (PART-A): L&T EduTech
  • Introduction to Solid Edge: Siemens
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine

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