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 420-DL : Database Systems

Description

This course introduces data management and data preparation with a focus on applications in large-scale analytics projects utilizing relational, document, graph, and graph-relational databases. Students learn about the relational model, the normalization process, and structured query language. They learn about data cleaning and integration, and database programming for extract, transform, and load operations. Students work with unstructured data, indexing and scoring documents for effective and relevant responses to user queries. They learn about graph data models and query processing. Students write programs for data preparation and extraction using various data sources and file formats.

Recommended:  Prior programming experience or MSDS 430-DL Python for Data Science.

Prerequisite: MSDS 402-DL Introduction to Data Science or MSDS 403-DL Data Science in Practice.

Formerly titled, "Database Systems and Data Preparation." Starting in fall 2023, this course will have no prerequisites.