Course Description: The goal of the course is to introduce students to the current theories, practices, tools and techniques in data mining. Because many topics and concepts in data mining are learned most efficiently through hands-on work with data sets, we will spend time with software analyzing and mining data. The goal is to gain a better understanding of how data mining is applied and what is involved in data mining projects.

Course Objectives:

Explain how businesses can gain competitive advantage through the mining of data.

Describe when and how various data mining techniques should be applied,

Describe and explain strategic recommendations based on data mining results.

Explain the benefits and uses of data through data mining and machine learning lenses and tools.

Please read the attached pdf and write what key concepts you’ve learned from the course.

Note: Content length should be a minimum of 300 -350 words. Please use APA 7 (https://owl.purdue.edu/owl/research_and_citation/a…) format for references and in text citations.

Reference: Tan, P. N., Steinbach, M., & Kumar, V. (2016). Introduction to data mining. Pearson Education, Inc.