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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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    Packt

    Foundations of Programming and Java Essentials

    Skills you'll gain: Debugging, Java, Computer Programming, Algorithms, Program Development, Data Structures, Pseudocode, Integrated Development Environments, Object Oriented Programming (OOP), Computational Thinking

    Beginner · Course · 1 - 3 Months

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    Coursera

    Robotics in High-Tech Manufacturing

    Skills you'll gain: Machine Controls, Robotic Process Automation, Product Automation, Manufacturing Operations, Integration Testing, Workflow Management, Coordination, Application Programming Interface (API), Simulation and Simulation Software, Process Optimization, Process Improvement and Optimization

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Learning and Advanced Techniques

    Skills you'll gain: Model Deployment, Transfer Learning, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Methods, Application Frameworks, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

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    University of Michigan

    Problem Solving Using Computational Thinking

    Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Public Health

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Decision Tree Learning, Predictive Modeling, Model Evaluation, Feature Engineering, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Performance Tuning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Apply Python for Practical Financial Data Analysis

    Skills you'll gain: Trend Analysis, Financial Data, Market Trend, Data-Driven Decision-Making, Financial Analysis, Data Visualization, Technical Analysis, Financial Market, Matplotlib, Financial Modeling, Correlation Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Jupyter, Data Structures, Data Import/Export

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Build Console Games in C: Apply Game Logic Skills

    Skills you'll gain: C (Programming Language), Game Design, Programming Principles, Program Development, Computational Logic, Data Validation, Command-Line Interface, User Interface (UI), Data Structures

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Build and Implement JavaScript ToDo Applications

    Skills you'll gain: Vue.JS, JavaScript Frameworks, Web Development Tools, Front-End Web Development, Javascript, UI Components, Data Structures, Debugging

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    University of Pittsburgh

    Big Data Processing with Hadoop and Spark

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Introduction to Python and Google Colab Fundamentals

    Skills you'll gain: Data Structures, Python Programming, Programming Principles, Computer Programming, Program Development, Object Oriented Programming (OOP), Scripting, Debugging, Scripting Languages, Algorithms, Functional Design

    Beginner · Course · 1 - 4 Weeks

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    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

Searches related to material science

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1…697071…834

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

  • Foundations of Programming and Java Essentials: Packt
  • Robotics in High-Tech Manufacturing: Coursera
  • Deep Learning and Advanced Techniques: Packt
  • Problem Solving Using Computational Thinking: University of Michigan
  • Grow Trees & Powerful Ensembles: Coursera
  • Apply Python for Practical Financial Data Analysis: EDUCBA
  • Build Console Games in C: Apply Game Logic Skills: EDUCBA
  • Build and Implement JavaScript ToDo Applications: EDUCBA
  • Build Predictive & Supervised Models: Coursera
  • Big Data Processing with Hadoop and Spark: University of Pittsburgh

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