SDT 502 - Data Mining & Big Data (Data Analytics)

3 Credit(s)

This course will cover data mining techniques and topics used for collecting large amounts of data and detecting patterns to predict possible outcomes to business scenarios. Basic machine-learning concepts including clustering, entropy, dimensionality, Bayes Theorem, text analysis, and classification will be discussed. The applications and usage of Big Data in real-world scenarios will be detailed at length.

 Credits: 3.

 When Offered: Master’s session 3, online.

 Prerequisite: SDT 500 , SCS 530 , or permission of instructor.