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
Status: NewStatus: Free TrialSkills you'll gain: Stakeholder Communications, Data Presentation, Analytics, Data Visualization, Microsoft Excel
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Data Preprocessing, Model Evaluation, Performance Tuning, Data Collection, Software Installation
Status: PreviewUniversity of Amsterdam
Skills you'll gain: Science and Research, Research, Social Impact, Innovation, Case Studies, Open Mindset, Stakeholder Engagement, Empathy & Emotional Intelligence, Collaboration, Diversity and Inclusion
Status: NewStatus: Free TrialSkillshare
Skills you'll gain: Multimodal Prompts, Prompt Patterns, ChatGPT, Art History
Status: Free TrialSkills you'll gain: React.js, Unit Testing, Test Driven Development (TDD), Application Programming Interface (API), Jest (JavaScript Testing Framework), Restful API, Front-End Web Development, Cascading Style Sheets (CSS), Javascript, Web Development
Skills you'll gain: JUnit, Unit Testing, IntelliJ IDEA, Apache Maven, Software Testing, Test Case, Testability, Test Tools, Java, Mockups
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming
Status: FreeDeepLearning.AI
Skills you'll gain: LLM Application, Large Language Modeling, Embeddings, Prompt Engineering, Data Processing, Big Data, Applied Machine Learning, Vector Databases
Google Cloud
Skills you'll gain: Kubernetes, Application Performance Management, YAML, Google Cloud Platform, Configuration Management, Real Time Data, Data Analysis
Status: PreviewUniversidad de los Andes
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Network Architecture, Natural Language Processing
Coursera
Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Data Preprocessing, Tidyverse (R Package), Data Management
Status: Free TrialSkills you'll gain: Ajax, JSON, Application Programming Interface (API), Javascript, Event-Driven Programming, Data Validation, Web Development, Object Oriented Programming (OOP), Debugging
Searches related to material science
In summary, here are 10 of our most popular material science courses
- Make Data-Driven Decisions: Google
- Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
- Try RRI! A guide for Responsible Research and Innovation: University of Amsterdam
- Midjourney: Generative AI for Creatives: Skillshare
- React Technical Interview Practice Questions: Scrimba
- JUnit and Mockito Unit Testing for Java Developers: Packt
- Conducting Exploratory Data Analysis: Coursera
- Large Language Models with Semantic Search: DeepLearning.AI
- Datadog: Getting started with the Helm Chart: Google Cloud
- Introducción al deep learning contemporáneo: Universidad de los Andes
