6 courses with the subject SDS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
SDS 100Intro to Data Science (Data Science)3
Credit(s) An introduction to the practice of data science encompassing a broad set of practical data-related skills based on building real analytic applications on real data. Skills include collecting, accessing, and transferring data, applying concepts from machine learning and data mining to collect, analyze, and represent data.
SDS 250AI & Advanced Data Science (Computer Science)3
Credit(s) This course provides an in-depth exploration of advanced data science techniques, including clustering, principal component analysis (PCA), and neural networks (AI). Students will learn to apply these methods to real-world data sets, uncovering patterns, reducing dimensionality, and building predictive models. Emphasis is placed on practical applications and developing an intuitive understanding of complex algorithms. Through hands-on projects, students will gain experience with tools and programming languages commonly used in data science, equipping them with the skills needed to solve sophisticated data challenges across diverse fields.
SDS 301Tech, Analysis, & Data App Capstone (Computer Science)3
Credit(s) This capstone course integrates technology, analytics, and data application skills through a comprehensive applied project. Students design and implement end-to-end solutions, develop technical writing and presentation abilities, and learn the structure of professional reports and practical project management. Emphasis is placed on ethical data practices, problem-solving, and communication of technical results.
