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BC2406 ANALYTICS I: VISUAL & PREDICTIVE TECHNIQUES

Most organizations are data rich and information poor. The large volumes of data in an organization are 'oilfields' rich in information content that are pending extraction with the right tools and models. Analytics involves the art of data exploration, visualization, communication and the science of analyzing large quantities of data in order to discover meaningful patterns and useful insights to support decision-making. The primary objective of this course is to introduce students to various techniques available to extract useful insights from the large volumes of data. At the end of the course, students will not only see the substantial opportunities that exist in real world, but also learn techniques that allow them to exploit these opportunities. This course focus on the use of open source R software, which is one of the key analytics software used in various industries and a critical skillset required in the job market for analytics and data science professionals.

Academic Units4
Exam ScheduleNot Applicable
Grade TypeLetter Graded
Department MaintainingBUS
Prerequisites

Year 2 standing

Mutually Exclusive

BC3404

Not Available to ProgrammeBCE 1, BCG 1
Not Available to All ProgrammeYr1

Indexes

IndexTypeGroupDayTimeVenueRemark

Course Schedule

0930

1030

1130

1230

1330

1430

1530

1630

1730

MON
TUE
WED
THU
FRI
SAT

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