Data Mining (4 Credits)
Learning Outcomes: Critically evaluate the value and application of data mining for business and customer relationship management; Critically discuss the variety of methods constituting data mining i...
Learning Outcomes: Critically evaluate the value and application of data mining for business and customer relationship management; Critically discuss the variety of methods constituting data mining i...
Learning Outcomes : Upon successful completion of this course, students are expected to be able to analyze required information at various level in an organization ; understand and able to apply vari...
Learning Outcomes Upon successful completion of this course, students are expected to be able to analyze required information at various level in an organization ; understand and able to apply variou...
Learning Outcomes: On successful completion of this course, student will be able to: LO1 - explain the concepts of data preprocessing, exploratory data analysis, and data storytelling; LO2 - demonstr...
Learning Outcomes: On successful completion of this course, students will be able to: LO1 - explain exploratory data analysis; LO2 - demonstrate to creating graphs in R; LO3 - demonstrate building pr...
Learning Outcomes: On successful completion of this course, student will be able to: Explain the concepts of exploratory data analysis, graphics, and data visualization Demonstrate creating g...
Learning Outcomes: On successful completion of this course, students will be able to: explain the concepts of exploratory data analysis, graphics, and data visualization; demonstrate creating graphs ...
Learning Outcomes: On successful completion of this course, students will be able to: Understand principles, methods and applications of data mining; Design data mining; Build application that implem...
Learning Outcomes: Describe core data modeling concepts in structuring and preparing data for analysis Apply quantitative techniques, including mathematical data operations and statistical met...
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