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Timetable
BT5126
HANDS-ON WITH BUSINESS ANALYTICS
2018/2019, Semester 2
School of Computing (Information Systems & Analytics)
Modular Credits: 4
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Learning Outcomes
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The goal of this module is to take students through all the stages of an analytics project from design, data collection, execution and presentation. Through a learning-by-doing approach, students will engage in business cases, guided projects and a project of their own design. Lectures will cover a breadth of technical tools and statistical methods through the data pipeline in an organization. The module will especially emphasize on techniques for causal analysis and econometric identification. Students will get the opportunity to present their projects at a public event open to peers, faculty, investors and industry experts.
Prerequisites
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DSC5103 Statistics
Preclusions
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IS5126 Hands-on with Applied Analytics
Workload
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2-0-0-4-4
Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week