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.

University of California San Diego
Skills you'll gain: Bioinformatics, Programming Principles, Molecular, Cellular, and Microbiology, Python Programming, Computational Thinking, Biology
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Anomaly Detection, Microsoft Azure, Event Monitoring, Application Performance Management, Time Series Analysis and Forecasting, Generative AI, Query Languages, Data Integration, Process Optimization, Data Analysis, User Feedback
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computational Thinking, Programming Principles, Python Programming, Software Installation, Algorithms, Computer Programming, Development Environment
Mixed · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Literacy, Data Analysis, JSON, Data Transformation, Financial Data, Power BI, Data Wrangling, Data Import/Export, Automation, Business Reporting, Data Cleansing, Extract, Transform, Load, Financial Reporting, Data Structures, Data Pipelines, Data Governance, Data Integrity
Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Community Organizing, Climate Change Programs, Community Development, Climate Change Adaptation, Professional Development, Community Outreach, Leadership, Environment and Resource Management, Social Impact, Sustainable Development, Visionary, Environmental Policy, Sustainable Systems, Collaboration, Governance, Innovation, Environmental Science, Personal Development, Ethical Standards And Conduct, Data Collection
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Analysis, R Programming, Visualization (Computer Graphics), Predictive Analytics, Statistical Modeling, Data Structures, Time Series Analysis and Forecasting, Regression Analysis, Programming Principles, Decision Tree Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Multimodal Prompts, ChatGPT, AI Enablement, Generative AI Agents, Ideation, Scenario Testing, Solution Design, Software Versioning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Coaching, Trend Analysis, Emotional Intelligence, Employee Engagement
Beginner · Course · 1 - 4 Weeks

Coursera
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