NICF- Statistics for Business

Overview

The objective of this course is to train you to interpret and effectively apply powerful statistical analysis to generate factual insights, which can then be used in evidence-based decision making. This course will directly help you to process company data effectively and accurately assess the impact of various factors on decision making for your organisation.

You will learn how to use data visualisation to provide a cockpit overview of your organisation’s business operations and to make use of descriptive statistics, correlation, simple linear regression analysis & multivariate regression analysis to identify important variables and interpret trends including insights from the data. In addition, you will learn how to group products and services using clustering and segmentation techniques. These are taught through case-studies and hands-on workshops that will impart practical skills to solving real life business problems.

This is a 3-day classroom instructor-led training course that will provide a formal introduction to the fundamental concepts, principles and practices of statistical modelling as it is used in business analytics and will form part of a suite of courses designed to give a thorough grounding in business analytics.

This course is part of the Analytics & Intelligent Systems Series offered by NUS-ISS.
  • NICF- Statistics for Business
  • NICF- Statistics for Business

Enquiry

Please contact Ms. Linda LEE at tel: 66011167 or email for more details.

Facts

Class Time: 9am-5pm

Upcoming Classes

Class 101 Aug 2018 to 03 Aug 2018 (Full Time)

Duration: 3 days

When:
Aug:
01, 02, 03
Time:
9:00am - 5:00pm

Class 201 Oct 2018 to 03 Oct 2018 (Full Time)

Duration: 3 days

Time:
9:00am - 5:00pm

Class 303 Dec 2018 to 05 Dec 2018 (Full Time)

Duration: 3 days

Time:
9:00am - 5:00pm

Course Details

  • Key Takeaways
  • Who Should Attend
  • What Will Be Covered
  • Fees & Funding
  • Certificate
  • Preparing for Your Course

At the end of the course, participants will learn:

  • How to present data visually using the appropriate visual display so that the picture clearly reflects the data insights
  • How to present data visually for better understanding of relationships between variables
  • How to statistically analyse whether there is a relationship between two variables and determine the size of the relationship
  • How to predict one variable in terms of another to provide scientific planning and decision making for improvement in business performance
  • How to predict one variable in terms of many other variables to provide scientific planning and decision making for improvement in business performance
  • How to determine whether one strategy is better than another

This course is designed for both business analytics and non-business analytics professionals:

  • Who would like to gain more knowledge in business analytics techniques to explore career opportunities in business analytics
  • Who need to be familiar with analytic techniques to analyse organisational data
  • Who are interested in making scientific decisions based on organisational data, so that the organisation can gain competitive advantage over its competitors

Pre-requisites

Knowledge or familiarity with basic statistics will be useful
  • Introduction to statistics
  • Making sense of data visually
  • How to determine and predict variables
  • How to group and segment customer/products

Format

Lectures and workshops

Self-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Full course fee

S$2700

S$2700

S$2700

S$2700

SSG grant

-

(S$1890)

(S$1890)

(S$1890)

Nett course fee

S$2700

S$810

S$810

S$810

7% GST on nett course fee

S$189

S$56.70

S$56.70

S$56.70

Total nett course fee payable, including GST

S$2889

S$866.70

S$866.70

S$866.70

Less additional funding if eligible under various schemes

-

-

(S$540)

(S$675)

Total nett course fee payable, including GST, after additional funding from the various funding schemes

S$2889

S$866.70

S$326.70

S$191.70


Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees, apart from government subsidies. For more information, click here.

Company-sponsored

International Participants

S'poreans and PRs 
(aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy1 
(S’poreans aged 40 and above)

Workfare Training Support2
(S’poreans aged 35 and above, and earn ≤ $2,000 per month)

Enhanced Training Support for SMEs3

Notes

Full course fee

S$2700

S$2700

S$2700

S$2700

S$2700

SSG grant

-

(S$1890)

(S$1890)

(S$1890)

(S$1890)

Nett course fee

S$2700

S$810

S$810

S$810

S$810

7% GST on nett course fee

S$189

S$56.70

S$56.70

S$56.70

S$56.70

Total nett course fee payable, including GST

S$2889

S$866.70

S$866.70

S$866.70

S$866.70

Fee payable to NUS-ISS

Less additional funding if eligible under various schemes#
(company needs to submit training grant and claim via Skillsconnect)

-

-

(S$540)

(S$675)

(S$540)

Total nett course fee payable, including GST, after additional funding from the various funding schemes

-

-

S$326.70

S$191.70

S$326.70

Actual financial outlay by company

Various Funding Schemes

1Mid-Career Enhanced Subsidy

  • Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.


2
Workfare Training Support (WTS)

  • Singaporeans aged 35 and above (13 years and above for Persons With Disabilities) and earn not more than $2,000 per month, may enjoy subsidies up to 95% of the course fees.


3
Enhanced Training Support for SMEs (ETSS)

  • SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the course fees. For more details, click on Enhanced Training Support for SMEs.


Course attendee is eligible for only one funding scheme.

#For company-sponsored participants, companies would need to pay upfront 30% of the course fee to NUS-ISS and submit a training grant application for the remaining eligible subsidies, and subsequently a claim in Skillsconnect. For details, please refer to Skillsconnect guide 4.1 & 5.1.

This course is aligned to the National Infocomm Competency Framework (NICF) and accredited by SSG. Absentee payroll and up to 70% SSG funding of the course fee is available for eligible participants (Singapore Citizens and Permanent Residents). Absentee payroll subsidy is available for eligible companies and companies on a short work week system will receive the absentee payroll subsidy based on their employees' current income. Please visit www.ssg.gov.sg for full details.


Certificate of Completion

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course.

WSQ Assessment

  • Broad Schedule of Assessment: During the course
  • Passing Criteria: Generally achieve above 50% for quizzes and achieve objectives in the workshops
  • Assessment Method: Workshops and open book quiz

Upon passing the assessment, Statement of Attainment (SOAs) will be issued to certify that the participant has passed the following Competency Units:

  • IT-IM-302S-1 Analyse data and generate reports

Participants may need to attend additional coaching sessions and re-assessments if they do not pass the required competency units. ISS reserves the right not to disclose any information on the course assessment process.

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available. User ID and password will be provided in the participant’s kit.

Venue

Institute of Systems Science, NUS
25 Heng Mui Keng Terrace
Singapore 119615 

Click here for directions to NUS-ISS.

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to isstraining@nus.edu.sg or call 6516 2093 if you have any enquiry or feedback.

Course Resources

Develop your Career in the Following
Training Roadmap(s)

Please click on the discipline(s) to view the training roadmap of related courses to assess your training needs and goals.

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