Dates: 13 Jun, 15 Jun, 16 Jun 2023 | 9am – 5.30pm | Classroom Learning
Duration: 3 Days
Course Overview
With the increase in the availability of data, organizations are now grappling with the problem on how to use these data effectively for its business. Data Analytics is the practice of using digital data for understanding insights from data. To unlock the potential contained within data, it is essential for organizations to apply techniques to explore and convey the key insights. That is, to tell the story within insights gleaned from data. Well-told data stories are change drivers within any institutions. How do we find the most important insights in the data and communicate them in a compelling way? How to connect the data to the key underlying business issues? Data is the oil, and data storytelling is the engine that facilitates its true value. This course discusses the art and science of data storytelling, techniques for visualising data and the approach to creating compelling stories using data insights for effective and efficient communication.
This module is part of Professional Certificate in Data Strategy and Storytelling and Professional Certificate in Healthcare Analytics and Storytelling.
Course Objectives
Course will enable participants to:
- Understand and apply visualisation techniques and information displays to convey data and findings.
- Learn how to produce effective and efficient data visualisations.
- Organise the presentation of data to reflect trends and correlations in a visually compelling way.
- Present effective data storytellings.
Who Should Attend
Data Analyst, Health Informatician
Prerequisites
At least a polytechnic diploma.
Course Convener
(Click their photos to view their short biographies)
Ms Samantha Sow
Ms Samantha Sow
Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics.
She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning.
Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore.
Her certifications include:
Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.
Course Fees
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Code:
TGS-2022011489
TGS-2022011480 (Synchronous e-learning)
For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:
Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)
Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older
