IS 330 - Database & Data Analysis

Credits: 5

Plan and design relational databases. Mine and analyze data using Structured Query Language (SQL) with real-world applications. Topics covered include: data modeling, data normalization and integrity, advanced queries, data manipulation, data analytics and functions, and tabular and graphical representation of analysis findings. Overview of data analytics, including issues of privacy and security. An introduction to NoSQL databases is included.

Prerequisite: IS 300 with 2.0 or better or permission of instructor.
4 hours Lecture, 2 hours Lab