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◄Faculty of Business and Economics►

AA037015 DATA ANALYTICS
3 Credits

Learning Outcomes At the end of the course, students are able to:
(1) Discuss the emerging trends and future impacts of
business analytics;
(2) Construct analytical techniques or tools to solve real
world problems; and
(3) Propose recommendations through analytical
interpretations of results.
Synopsis of Course Analytics has become the technology driver of this decade.
Contents This course provides students with the theoretical knowledge
and practical skills to drive decision making. The course
emphasizes a hands-on approach to extensively use the
analytical modeling and statistical analysis in the examination
of data or content to discover deeper insights, make
predictions, or generate recommendations using sophisticated
techniques and tools on real world problems. Students will
also acquire understanding of predictive analytics using
statistical and machine learning techniques to understand
future outcome. The analytical abilities to be acquired by
students in this course are to reliably select analytic
techniques or method and specify steps involve in the analysis
process and to interpret analytically the results obtained from
data analytics techniques or tools.

Assessment Weightage Continuous Assessment: 60%
Final Examination: 40%

Medium of Instruction English

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