DS 420 Big Data

This course covers techniques needed to collect, store, analyze, and visualize big data, particularly for applications in machine learning at scale.

Instructor:

Dr. Peilong Li

Office:

Esbenshade 284B

Appointments:

By email

Number of Credits

4

Pre-requisites

• DS 200 Introduction to Data science
• CS 209 Database Systems

Textbooks

• (Required) Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee. Learning Spark: Lightening-Fast Data Analytics, 2nd Edition. (LS). 2020, O’Reilly Media. ISBN-13: 978-1492050018. A free version of the textbook can be retrieved at: Link.