Master’s in Data Science for MIT MicroMaster's Graduates 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 statistical and machine learning algorithms and techniques including the machine learning framework, regression, classification, regularization and reduction, tree-based methods, unsupervised learning, and fully-connected, convolutional, and recurrent neural networks. 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 Modelers, and MSDS 401-­DL Applied Statistics with R, and MSDS 402-­DL Introduction to Data Science or MSDS 403--DL Data Science in Practice.

Starting in fall 2023, MSDS 400-DL and MSDS 401-DL will be the only prerequisites.