Master’s in Data Science Courses & Curriculum | Northwestern SPS - Northwestern School of Professional Studies

Course Descriptions and Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

MSDS 422-DL : Practical Machine Learning

Description

The course introduces machine learning with business applications. It provides a survey of machine learning techniques, including traditional statistical methods, resampling techniques, model selection and regularization, tree-based methods, principal components analysis, cluster analysis, artificial neural networks, and deep learning. Students implement machine learning models with open-source software for data science. They explore data and learn from data, finding underlying patterns useful for data reduction, feature analysis, prediction, and classification.

Prerequisites: MSDS 400-­-DL Math for Data Scientists, MSDS 401-­-DL Applied Statistics with R, and MSDS 402-­-DL Introduction to Data Science or MSDS 403-­-DL Data Science in Practice.