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.

Microsoft
Skills you'll gain: CI/CD, C# (Programming Language), Azure DevOps, Load Balancing, Continuous Integration, Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Debugging, SQL, Microsoft Copilot, .NET Framework, Relational Databases, Database Management, Graph Theory, Back-End Web Development, Program Development, Data Structures
Beginner · Professional Certificate · 3 - 6 Months

Duke University
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Simulations, Mathematical Modeling, Electrical Engineering, Electronic Systems, Matlab, Electrical Systems, Engineering Calculations, Laboratory Testing, Basic Electrical Systems, Estimation
Intermediate · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Text Mining, Unstructured Data, Quantitative Research, Data Visualization, Statistical Analysis, Analysis, Social Network Analysis, Data Presentation, Data Analysis, Statistical Methods, Data Mining, Interactive Data Visualization, Analytics, Correlation Analysis, Application Programming Interface (API), R Programming, Regression Analysis, Data Collection, Big Data, Python Programming
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Skills you'll gain: Collaborative Software, Telecommuting, Social Impact, Social Network Analysis, Remote Access Systems, Interaction Design, Driving engagement, Computing Platforms, Digital Communications
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Engineering Calculations, Mechanical Engineering, Numerical Analysis, Chemistry, Physics, Simulation and Simulation Software, Mathematical Modeling, Differential Equations
Advanced · Course · 1 - 4 Weeks

Google Quantum AI
Skills you'll gain: Debugging, Emerging Technologies, Hardware Architecture, Failure Analysis, Simulation and Simulation Software, Theoretical Computer Science, Mathematical Modeling, Computer Architecture, Simulations, Linear Algebra, Computer Science
Intermediate · Course · 1 - 4 Weeks

Cloudera
Skills you'll gain: SQL, Apache Hive, Big Data, MySQL, Databases, PostgreSQL, Data Manipulation, Data Analysis, Virtual Machines
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Preprocessing, Data Processing, MLOps (Machine Learning Operations), Transfer Learning, Data Transformation, Data Sharing, Model Evaluation, Data Management, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Regression Analysis, NumPy, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Robotic Process Automation, Data Manipulation, Email Automation, Web Scraping, User Interface (UI), Business Process Automation, Automation, UI Components, Test Automation, Context Management, Excel Macros, Data Cleansing, Network Protocols, Data Import/Export, Software Development Tools, Data Management, Unstructured Data, Data Flow Diagrams (DFDs), Application Deployment, Programming Principles
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation
Intermediate · Course · 1 - 3 Months