Data Mining

This course covers the concepts of mining data, cleaning data, analyzing data, classifying data, and extracting information. Various tools such as Anaconda Python, Pandas, Numpy, and Excel are used. Additionally, data analytic concepts are covered.

Objectives:

• Data mining
• Data classification
• Data mining algorithms
• Use Python, Pandas, and Numpy to extract and analyze data
• Use Excel to analyze and present data

Prerequisite: None
Credits: 4.5
Contact hours: 45
Lecture hours: 20
Lab hours: 25
Faculty office hours: faculty is available outside class hours by appointment, via email, and at scheduled times.
Advising: faculty and career counselors are available to assist students with their career directions and questions.