Data Driven Decision Making

Overview

Data-driven decisions perform significantly better according to a study led by the MIT Centre for Digital Business.  One barrier to data-driven decision making is the shortage of experienced talent in analytics.

Data modelling and engineering is the role of data scientists or data analysts, business leaders and managers have a critical role to play at the beginning and at end of the process, framing the problems and analysing the results to provide the recommendations for sound decision making. These managers’ equally need to know and understand data science, combining it with their knowledge of the business and the business needs, to address challenges faced by the organisation.
  
When presented with analytics output, business decision makers commonly have the following questions and uncertainties. It is necessary for the end consumers of data analytics to know how to discern good analytics work from a poor one.

This course is part of the Analytics & Intelligent Systems Series offered by NUS-ISS.
  • Data Driven Decision Making
  • Data Driven Decision Making

Enquiry

Please contact Ms. Winnie YONG at tel: 65162098 or email for more details.

Facts

Class Time: 9:00am - 5:00pm

Upcoming Classes

Class 111 Sep 2018 to 11 Sep 2018 (Full Time)

Duration: 1 day

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 be able to:
  • Ask the right questions to evaluate model goodness and validity
  • Interpret common model outcomes and applications
  • Understand the benefits and risks of applying particular analytical outcomes
  • Understand the difference between various discipline areas such as statistics, machine learning, and operations research
  • Understand competencies required of a data driven project
  • Do a quick evaluation of a project given the organisation data and analytics maturity level
  • Make recommendations for a project to succeed in the above context
Any working professional who is interested in using data and analytics to address business issues; to be able to frame the problems and analyse the results of an analytics project to ensure sound decision making.
  • An overview on data and analytics process and life cycle
  • Reliability and validity check for data analytics model
  • Common model results interpretation and application
  • Different schools of modelling techniques
  • Strategy for data-driven projects

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$900

S$900

S$900

S$900

SSG grant

-

(S$630)

(S$630)

(S$630)

Nett course fee

S$900

S$270

S$270

S$270

7% GST on nett course fee

S$63

S$18.90

S$18.90

S$18.90

Total nett course fee payable, including GST

S$963

S$288.90

S$288.90

S$288.90

Less additional funding if eligible under various schemes

-

-

(S$180)

(S$225)

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

S$963

S$288.90

S$108.90

S$288.90


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$900

S$900

S$900

S$900

S$900

SSG grant

-

(S$630)

(S$630)

(S$630)

(S$630)

Nett course fee

S$900

S$270

S$270

S$270

S$270

7% GST on nett course fee

S$63

S$18.90

S$18.90

S$18.90

S$18.90

Total nett course fee payable, including GST

S$963

S$288.90

S$288.90

S$288.90

S$288.90

Fee payable to NUS-ISS

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

-

-

(S$180)

(S$225)

(S$180)

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

-

-

S$108.90

S$63.90

S$108.90

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 will be capped at 4 hours and 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

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

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