DATA MANAGEMENT AND ORGANIZATION (2 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: Explain Big Data concept and Spark Ecosystem Demonstrate HDFS File Management and Spark SQL Perform ETL...
Learning Outcomes: On successful completion of this course, student will be able to: Explain Big Data concept and Spark Ecosystem Demonstrate HDFS File Management and Spark SQL Perform ETL...
Learning Outcomes: On successful completion of this course, students will be able to: LO1 - Describe the basic principles of data management and big data processing; LO2 - Demonstrate HDFS commands a...
Learning Outcomes: On successful completion of this course, students will be able to: explain Big Data concept and Spark Ecosystem; demonstrate HDFS File Management and Spark SQL; perform ETL and D...
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 On successful completion of this course, student will be able to: Explain data mining concepts and techniques; Analyze collection of data and techniques for pre-processing the data ...
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...
Learning Outcomes: On successful completion of this course, students will be able to: LO1 - cite concept of data, data preprocessing, data warehouse, OLAP, and data cube; LO2 - apply various data min...
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...
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