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Module Detailed Information for [DSC4217]
Academic Year : 2017/2018 Semester : 2
Correct as at 13 Dec 2018 20:00

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Module Information
Module Code :
Module Title : Business Analytics with R
Module Description : This course prepares students with fundamental knowledge of using R, a powerful complete analytical environment, to organize, visualize, and analyze data. It is, however, not a programming course. It will focus on case studies from the most commonly used tasks that a business analyst will face on a day-to-day basis and how R could be used to handle such cases. The topics covered in the course include foundations of R programming, data visualization, regression-based data modelling, classification, and social media analysis.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : DSC1007 Business Analytics – Models and Decisions; and DSC2008 Business Analytics – Data and Decisions
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 0-3-0-3-4
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory 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

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
No Tutorial Class or to be announced. Please check with the department offering this module.

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