Advanced Data Science

Catalog description

This course provides an exposure to advanced methods and technologies in data science, including exploratory data analysis, validation strategies, data leakage, metrics optimization, hyperparameter optimization, advanced feature engineering, and ensembling. Students will develop a project involving real-world data on a large scale, and communicate the results to a non-technical audience. For graduate credit a student will be required to write a term paper which reflects deeper investigation of the topics covered in the course.