23 Nov, 24 Nov, 27 Nov 2023 | 9am – 5.30pm | Classroom Learning [Classes are fully booked]
28 Nov, 4 Dec, 8 Dec 2023 | 9am – 5.30pm | Classroom Learning
Duration: 3 Days
With the increase in the availability of data, organizations are now grappling with the problem of how to use these data effectively for their 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 key insights. That is, to tell the story within insights gleaned from data. Well-told data stories are change drivers within any institution. How to connect the data to the key underlying business issues? This course discusses the art and science of data storytelling, techniques for visualising data and the approach to telling compelling stories using data insights for effective and efficient communication.
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 storytelling.
Who Should Attend
Data Analyst, Health Informatician
At least a polytechnic diploma.
(Click photo to view biography)
Dr Yeo Wee Kiang
Dr Yeo Wee Kiang is a Senior Lecturer at the Department of Information Systems and Analytics in the NUS School of Computing. Previously, Dr Yeo was Adjunct Lecturer at the Department of Economics in the NUS Faculty of Arts and Social Sciences. Since 2019, he has been teaching the ECA5372 Big Data Analytics module as part of the Master of Economics coursework programme. Additionally, he was a part-time lecturer at Nanyang Business School in Nanyang Technological University where he imparted knowledge on Python programming and analytics to undergraduate students pursuing business studies. Prior to these roles, Dr Yeo served as the Lead Instructor (Data Science Immersive) at a New York-based commercial Continuing Education and Training (CET) provider. In that capacity, he taught aspiring adult learners in Hong Kong, Sydney, and Singapore who were eager to upskill or transition into new careers. Dr Yeo received his doctorate from National University of Singapore. For his PhD work, he focused his research on machine learning and data mining within a multinational pharmaceutical company. His area of specialization involved developing computational methods aimed at uncovering potential medicinal drug candidates. He also holds the WSQ Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning Singapore.
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.
What Our Participants Say
“Materials (step by step) and training for this course is easy for me to understand.”
– Wong Shimin Desiree
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.
This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.
To enquire, email firstname.lastname@example.org
To register, click Register
TGS-2022011489 (Classroom Learning)
TGS-2022011480 (Synchronous e-learning)
Course Fee Breakdown
Singapore Citizens39 years old or younger
Singapore Citizen40 years old or older