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.

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
Coursera
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

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

University of Michigan
Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Public Health
Beginner · Course · 1 - 3 Months

Coursera
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

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

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

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

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

University of Pittsburgh
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

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

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