Database Systems for Analytics


Times Offered Syllabus
Lec-Lab T 02:00pm-04:50pm
Lec-Lab W 05:00pm-07:50pm
Lec-Lab M 05:00pm-07:50pm

Times are for SPRING 2017
No Syllabus Found
Prerequisites Technologies Studied

Microsoft Access, MYSQL, MYSQL Workbench, Teradata
Course Description
Concepts in modeling data for analytic applications. Designing and implementing analytics databases. Querying databases to extract business intelligence. Importance of database performance for analytics.

Upon completion of the course, student will be able to:
• Model data and prepare it for analytics
• Design real world databases for analytics
• Use Structured Query Language (SQL) to build and query databases
• Describe the importance of Business Intelligence: Reporting and data mining
• Explain how databases are optimized for analytics performance
• Enumerate the differences between SQL and NoSQL databases, and between row and column stored databases.
• Compare real world database capabilities for analytics
Why Students Take ITP-250
This course teaches what database knowledge is needed to learn how to use databases to answer analytical questions
Course is Part of...
Applied Analytics (MINOR)
Applied Analytics (SPECIALIZATION)
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Nitin Kale