Making Sense of Business Data: Descriptive Analytics with R (BIZ-DAR)

TGS-2020507036

NUS Business School

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Objectives

R is the language of analytics in academic institutions, and increasingly also in corporations. This course introduces R, and then use it for data cleaning, data manipulation, data exploration and data visualization to gain business insights from data. Programming structure and functions are also taught for students to gain knowledge on programming.



Who Should Attend

Directors/Senior Managers/Managers/Analysts/Planners who will utilise R to explore and make sense of data.




Entry Requirements

Basic Degree Holder




Class Schedule




Tutorial Schedule

Same Day as Lecture




Lesson Delivery

a) Facilitated Learning - 12 hrs; b) Project - 3 hrs; c) Assessment - 1 hr.




Full Fees (before GST)

S$2000.00




Nett Fees payable after SSG Funding



International Participant Singapore Citizen 39 years old or younger Singapore Citizen 40 years or older eligible for MCES Singaporean PRs Enhanced Training Support for SMEs
Full Programme Fee S$2000.00 S$2000.00 S$2000.00 S$2000.00 S$2000.00
SSG Funding *
Eligible for Claim Period 1 Jul 2021 to 30 June 2024
- S$1400.00 S$1400.00 S$1400.00 S$1400.00
Nett Programme Fee S$2000.00 S$600.00 S$600.00 S$600.00 S$600.00
9% GST on Nett Programme Fee S$180.00 S$54.00 S$54.00 S$54.00 S$54.00
Total Nett Programme Fee Payable, Incl. GST S$2180.00 S$654.00 S$654.00 S$654.00 S$654.00
Less Additional Funding if Eligible Under Various Scheme - - S$400.00 - S$400.00
Total Nett Programme Fee, Incl. GST, after additional funding from the various funding schemes S$2180.00 S$654.00 S$254.00 S$654.00 S$254.00
*   Learners must pass all assessment components to be eligible for SSG funding.
** Please note that all external funding for courses is limited in duration and subject to availability.

*** 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
TBC

Delivery Mode**
Face-to-Face

Course Code
BIZ-DAR

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

Type
Short Course

Stacks/ Bundles to
NA

Audit/Graded
Nil

Area of Interest
Data Analytics