DATA MINING (2/2 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: Cite concept of data, data preprocessing, data warehouse, OLAP, and data cube Apply various data mining te...
BINUS University Curriculum Center
People Innovation Excellence
Courses
DATA MINING (2/2 Credits)
Learning Outcomes: On successful completion of this course, students will be able to: LO1 - explain concept of data, data warehouse, data preprocessing, and data mining; LO2 - apply various data mini...
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...
DATA MINING & BUSINESS INTELLIGENCE (3 SCU)
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...
Data Mining & Business Intelligence
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...
DATA MINING AND VISUALIZATION (2 Credits)
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...
DATA MINING AND VISUALIZATION (2 Credits)
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...
DATA MINING AND VISUALIZATION (2/1 Credits)
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...
DATA MINING AND VISUALIZATION (2/1 SCU)
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 ...
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