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: Free TrialSkills you'll gain: Dataflow, Data Pipelines, Performance Tuning, Data Integrity, Maintainability, Debugging, System Monitoring, Data Processing, CI/CD, Unit Testing, Disaster Recovery
Status: PreviewPontificia Universidad Católica de Chile
Skills you'll gain: Thermal Management, Engineering Calculations, Mechanical Engineering, Engineering Analysis, Plot (Graphics), Scientific Visualization, HVAC, Simulation and Simulation Software, Energy and Utilities, Numerical Analysis, Systems Analysis, Python Programming, NumPy
Status: NewStatus: Free TrialSkills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Apache Maven, Real Time Data, Data Processing, Scalability, Data Structures, Object Oriented Programming (OOP), Systems Integration
Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Pipelines, MLOps (Machine Learning Operations), Keras (Neural Network Library), Applied Machine Learning, Data Store, Data Transformation, Statistical Machine Learning, Machine Learning, Real Time Data
Status: FreeSkills you'll gain: Simulation and Simulation Software, Simulations, Engineering Analysis, Computer-Aided Design, Pump Stations, Mechanical Design, Hydraulics, Cloud Computing
Status: NewStatus: Free TrialSkills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Skills you'll gain: GitHub, Test Driven Development (TDD), Continuous Integration, ASP.NET, .NET Framework, Git (Version Control System), C# (Programming Language), Integration Testing, Maintainability, Data Access, Data Integrity, Debugging
Skills you'll gain: HTML and CSS, JSON, Responsive Web Design, Ajax, Web Design and Development, Animations, Algorithms, Debugging
Skills you'll gain: Diagram Design, Process Flow Diagrams, User Accounts, Process Mapping, Organizational Structure, Data Visualization, Creativity
Status: PreviewGoogle Cloud
Skills you'll gain: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Model Deployment, Metadata Management, AI Workflows, AI Orchestration, PyTorch (Machine Learning Library), Containerization
Status: Free TrialSkills you'll gain: Apple iOS, Swift Programming, Mobile Development, UI Components, Animations, Apple Xcode, Data Storage, Cloud Storage, Responsive Web Design, User Interface (UI), Human Computer Interaction, Data Modeling
Status: Free TrialWhizlabs
Skills you'll gain: Amazon CloudWatch, AWS CloudFormation, Cloud Management, Infrastructure as Code (IaC), Amazon S3, Amazon Elastic Compute Cloud, AWS Identity and Access Management (IAM), Multi-Tenant Cloud Environments, System Monitoring, Configuration Management, Performance Tuning, Security Controls
In summary, here are 10 of our most popular material science courses
- Serverless Data Processing with Dataflow: Operations en Español: Google Cloud
- Análisis de sistemas térmicos usando Python: Pontificia Universidad Católica de Chile
- Apache Spark with Scala: Master Data Building & Analysis: EDUCBA
- Feature Engineering - 한국어: Google Cloud
- Strömungsimulation einer Kreiselpumpe: Coursera
- Data Science Fundamentals Part 2: Unit 1: Pearson
- Test-Driven Development in .NET Core - The Handbook: Packt
- Game Time 2024 – Build a JavaScript Game with Random Order: Packt
- Utiliser LucidChart pour petites entreprises: Coursera
- ML Pipelines on Google Cloud - 日本語版: Google Cloud
