BIG DATA ANALYTICS (3 Credits)
Learning Outcomes: On successful completion of this course, students will be able to: Knowledge and understanding of core concepts, theories and principles of large-scale data storage and processing ...
BINUS University Curriculum Center
People Innovation Excellence
Courses
BIG DATA ANALYTICS (4 Credits)
Learning Outcomes: On successful completion of this course, students will be able to: Understand market and business drivers for big data, big data landscape, characteristics, and how it will impact ...
BIG DATA ANALYTICS FOR BUSINESS (4 Credits)
Learning Outcomes: On successful completion of this course, student will be able to: Define core concepts of data analytics and explain how they relate to business decision-making Identify...
BIG DATA ANALYTICS IN ACCOUNTING & FINANCE (2 ...
Learning Outcomes: On successful completion of this course, students will be able to: LO1 - explain Explain a collection of computer technologies that support big data analytics; LO2 - classify Class...
BIG DATA ANALYTICS IN ACCOUNTING & FINANCE (4 ...
Learning Outcomes: On successful completion of this course, students will be able to: explain a collection of computer technologies that support big data analytics; classify big data analytics activi...
BIG DATA ANALYTICS IN FINANCIAL SERVICES (4 Credit...
Learning Outcomes: On successful completion of this course, students will be able to: explain a collection of computer technologies that support big data analytics; classify big data analytics activi...
BIG DATA FOR BUSINESS DEVELOPMENT (2/2 Credits)
Learning Outcomes : On successful completion of this course, student will be able to: Topics :
BIG DATA FOR BUSINESS DEVELOPMENT (4 SCU)
Learning Outcomes Upon successful completion of this course, students are expected to be able to: explain the importance of analytics, how it transforms the world today, apply the concepts on the ind...
BIG DATA IN BIOTECHNOLOGY (2 CREDITS)
Learning Outcomes: On successful completion of this course, students will be able to: LO1 - Discuss scalable data processing pipelines for handling large-scale biological datasets in various biotechn...
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