NICF- Data Storytelling

Overview

Data visualisation is about using information design to present data visually. It consists of three main parts, namely data, visualisation and storytelling. In fact, data visualisation becomes a new language for storytelling. It is important for professionals to express complex ideas in simplest manner, using visualisation to tell a story via graphical depiction of statistical information.

The course aims to equip the participants with essential knowledge and skills to effectively collate and consolidate data, to quickly present data in the most interesting visual manner, to accurately analyse and interpret the hidden trends and patterns, and to concisely improve decision making.

Using real life case studies and demonstrations, the participants will be introduced to the power of data visualisation in conducting exploratory and diagnostic analysis and representing them visually, as well as to create a dashboard for infographics for broad communication.

This course is part of the Analytics & Intelligent Systems series offered by NUS-ISS.


Upcoming Classes

Class 1 27 Feb 2019 to 01 Mar 2019 (Full Time)

Duration: 3 days

Time:
9.00am - 5.00pm

Class 2 11 Mar 2019 to 13 Mar 2019 (Full Time)

Duration: 3 days

When:
Mar:
11, 12, 13
Time:
9.00am - 5.00pm

Class 3 10 Jun 2019 to 12 Jun 2019 (Full Time)

Duration: 3 days

Time:
09:00am to 05:00pm

Class 4 02 Sep 2019 to 04 Sep 2019 (Full Time)

Duration: 3 days

Time:
09:00am to 05:00pm

Class 5 02 Dec 2019 to 04 Dec 2019 (Full Time)

Duration: 3 days

Time:
09:00am to 05:00pm

Class 6 02 Mar 2020 to 04 Mar 2020 (Full Time)

Duration: 3 days

Time:
09:00am to 05:00pm



Key Takeaways

At the end of the course, the participants will be able to:

  • Identify the principles of data visualisation
  • Identify the different types of questions and analytics patterns
  • Conduct exploratory and diagnostic analysis
  • Develop a dashboard as data storytelling mechanism for business purposes
  • Develop infographics as data storytelling mechanism for broad communication



Who Should Attend

This course is designed as an introductory course for anyone with an interest or need to understand data visualisation for storytelling:

  • Business and IT professionals seeking to improve analytical skills in handling and presenting large amounts of data for business insights
  • Individuals with no knowledge or experience in data visualisation and storytelling, but who would like to gain some knowledge in the area to explore work opportunities in Business analytics
  Pre-requisite
  • Basic Excel and PowerPoint skills are required.

Participants with limited knowledge may consider acquiring them via GCF Learn for Excel & PowerPoint




What Will Be Covered

  • Power of data visualisation
  • From question to answer
  • Conducting exploratory and diagnostic analysis visually
  • Creating dashboard for business
  • Creating infographics for broad communication
Format
Lectures and workshops



Fees and Funding

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

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-BDA-402S-1 Apply data visualisation

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.

 



Preparing for Your Course

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.




Instructors

Mr. Brandon NG

Senior Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Mr. Cai Yuhao

Associate Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Ms. Catherine KHAW

View Profile >

Dr. Kate LAZARENKO

View Profile >

Mr. Michael TAN

Senior Lecturer & Consultant, IT Strategy & Management Practice View Profile >

Mr. Nirmal Raja PALAPARTHI

Principal Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Mr. Prakash Chandra SUKHWAL

Associate Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Ms. Tamsin Emma Maria GREULICH-SMITH

Chief, Smart Health Leadership Centre View Profile >

Dr. TAN Jen Hong

Lecturer & Consultant, Analytics & Intelligent Systems Practice View Profile >

Course Resources

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Training Roadmap(s)

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Analytics and Intelligent Systems

Leverage on data and business analytics for intelligent decision-making and help your business harness its true potential.

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