Hands-on Learning Modules on Data Science and Machine Learning in Engineering

Learn key concepts in data science and machine learning specifically applied to materials science and engineering through this comprehensive series of self-contained, modular tutorials. Explore how to make data accessible, discoverable, and useful while mastering techniques for querying materials data repositories and understanding materials descriptors for data science applications. Develop proficiency in linear regression models and neural networks for both regression and classification tasks, then advance to active learning methodologies. Each module combines recorded lectures with hands-on tutorials and homework assignments featuring online simulations, all accessible through cloud computing on nanoHUB without requiring any software downloads or installations. Whether incorporating these modules into existing coursework or pursuing independent study, gain practical experience with data science techniques tailored specifically for engineering applications using completely open and free resources.