Singapore University of Social Sciences

Data Analytics: Data Storytelling

Data Analytics: Data Storytelling (CET251)

Applications Open: 10 November 2021

Applications Close: 15 December 2021

Next Available Intake: 05 January 2022

Course Types: Short Course

Language: English

Duration: 2 days

Fees: $1200

Area of Interest: Business Administration

Schemes: To be confirmed

Funding: SkillsFuture

School/Department: Centre for Continuing & Professional Education


Level: Basic
Next Available Intakes: 05 January & 12 January 2022, 18 January & 26 Jan 2022
Duration: 2 days
Venue: Grange Road
Minimum number to run: 20 participants (To be updated by SUSS)

This course is brought to you by SUSS in partnership with FTA.

SUSS
FTA

Synopsis

Most business leaders agree that data is the new oil. Businesses across all industries strive to make more data-driven decisions. Almost no business meeting is made nowadays without presenting the numbers. Yet in so many cases the numbers fail to connect to the audience and the decisions are made based on gut feelings alone. Data storytelling is a technique that allows you to present the numbers in a way that informs decisions and adds value. In this course, we learn and practise the basics of the technique and aim to improve directly the communication with data by data scientists or business professionals.

Topics

  • The importance of clear communication with data and its specific techniques
  • The basics to building message, context, and visualisation of the data story
  • Key techniques for identifying main messages for efficient data story-telling
  • Analysis of data stories
  • Best practice and common pitfalls in data storytelling
  • Building data stories

Learning Outcomes

A. Knowledge and Understanding (Theory Component)

At the end of this course, participants should be able to:

  • Describe the importance and specific techniques of clear communication with data
  • Discuss the most common techniques of data manipulation used to confuse the audience

B. Key Skills (Practical Component)

At the end of this course, participants should be able to:

  • Apply basic principles in building powerful visualisations of data story
  • Practise building data stories with Excel and PowerPoint and learn about different software packages that help to tell the data story
  • Employ practical data analysis skills to analyse and create mesmerising story

Assessments

  • Quiz - 30%
  • Tutor Marked Assignment 1 (TMA1) - 30%
  • Tutor Marked Assignment 2 (TMA2) - 40%

Requirements

  • Attendees should have a basic understanding of statistical concepts and working knowledge of Excel. Python knowledge is a plus.
  • Attendees have to bring along their own laptop.

Trainer's Profile

Dr Lillian KohDr Lillian Koh
Dr Lilian Koh is the CEO of Fintech Academy & Director at Centre of Research and Innovation at NTUitive and Advisor, Singapore Digital Chamber of Commerce. After 17 years @ Ministry of Education and 17 years @ Nanyang Technological University, she became the CEO of Fintech Academy. Her other previous appointments were Faculty Associate at A*Star, Chair, Centre for Financial Literacy, Nanyang Technological University, Singapore and Consultant to NHG, Pearson, Citigroup and World Bank.

Guest Speaker

Nikolay NovozhilovNikolay Novozhilov
Nikolay Novozhilov has 10+ years of hands-on experience in Data Science and Digital. Proven on multiple projects that he can build and lead teams of developers and designers, create product roadmap and develop data and product architecture, manage agile development using SCRUM, CI/CD, TDD, consistently A/B test and improve products. Large experience working in IT start-ups on the edge of technology and in big corporations with legacy infrastructure. Deep technical knowledge with SQL (MySQL and BigQuery), Python (pandas, flask), data visualisation tools (Chart.io, Tableau); have own live projects built with React.js / Next.js; DevOps in AWS and Google Cloud. Public speaker and blogger on Data Science and Product Management.

Course Fee

International ParticipantsS'poreans (aged below 40) and PRsSkillsFuture Mid-Career Enhanced Subsidy1
(S'poreans aged 40 and above)
Enhanced Training Support for SMEs2
Full Course fee (A)$1,200$1,200$1,200$1,200
SSG grant (70%) (B)-($840)($840)($840)
Nett course fee (A) - (B) = (C)$1,200$360$360$360
7% GST on nett course fee (D)$84.00$25.20
$25.20
$25.20
Total nett course fee payable, including GST (C) + (D) = (E)$1,284$385.20
$385.20
$385.20
Less additional funding if eligible under various schemes (F)--($240)($240)
Total nett course fee payable, including GST, after additional funding from the various funding schemes (E) - (F) = (G)$1,284.00$385.20$145.20$145.20

1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Enhanced Training Support for SMEs: SME-sponsored employees (Singaporean Citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees.

  • Participants are required to achieve at least 75% attendance and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
  • Participants are required to complete all surveys and feedbacks related to the course.
  • The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice.
  • Singapore University of Social Sciences reserves the right to amend and/or revise the above schedule without prior notice.

For clarification, please contact the Centre for Continuing and Professional Education (CCPE) via the following:

Telephone: +65 6248 0263
Email: CET@suss.edu.sg

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