Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 420-DL : Database Systems and Data Preparation
Description
This course introduces data management and data preparation with
a focus on applications in large-scale analytics projects utilizing
relational, document, and graph database systems. 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.
