Descriptive Analytics with R

NUS Business School

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Objectives

In the era of big data, competitive advantage for enterprises is derived from data analytics and timely sharing of insights derived from data. The ability to understand data, derive valuable insights from data, and thus make objective managerial decisions has become an essential skill that graduates must master in order to excel in their career. This course introduces the basics of R, a powerful analytics environment, to organize, visualize, and analyse data, and uses case studies to teach students on how to analyse and summarise data and present findings in a structured, meaningful, and convincing way.



Who Should Attend

Anyone with interest and some knowledge in data analytics.




Entry Requirements

DAO1704 Decision Analytics using Spreadsheets (2017 curriculum), or DSC1007 Business Analytics - Models and Decisions (pre-2017 curriculum)




Class Schedule




Tutorial Schedule

Different day from lecture




Lesson Delivery

a) Lecture - 2 hours b) Tutorial - 1 hours c) Project - 4 hours d) Preparation - 3 hours




Full Fees (before GST)

S$4200.00




Nett Fees payable after SSG Funding



NA


*** Please note that the mode of delivery is subject to change in light of the COVID-19 situation. Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.

Upcoming Course Dates
12/08/2024

Delivery Mode**
Face-to-Face

Course Code
DBA3702

Funding Type
SSG Funding
Eligible for SkillsFuture Credit (SFC)
Alumni eVoucher (L3)
Alumni eVoucher (R&G)

Type
Modular Course

Stacks/ Bundles to
BBA or BBA (Accountancy)

Audit/Graded
Graded

Area of Interest
Data Analytics