Data Visualisation and Storytelling Using Tableau
Duration: 6 weeks excluding orientation
Course format: Online
Course fees: S$1,995
Course Overview
Employ audience knowledge to influence decision-making through the craft of visual storytelling.
Course Objectives
Data has the ability to influence decisions when it is presented as an easy-to-understand narrative. This requires the extraction of key pieces of relevant information, and the translation of them in a way that is clear and compelling to an audience.
On the Data Visualisation and Storytelling Using Tableau online short course from the National University of Singapore (NUS) Advanced Computing for Executives (ACE), you’ll learn to use data to communicate business insights. Over six weeks, you’ll explore the functionalities and capabilities of Tableau through practical, step-by-step exercises involving data visualisation. You’ll also equip yourself with the tools and skills to collate data, extract important insights and use them to create engaging stories that inform and influence. By the end of the course, you’ll be able to convey meaningful data insights using data-driven visualisations.
Learning Outcomes
This course is for you if you want to:
- Develop real-world skills. Explore practical tools, best practices, and frameworks that can be immediately implemented in your context.
- Communicate more effectively. Learn to transform raw data into powerful visualisations while using best practices.
- Use storytelling to improve decision-making. Convert insights into compelling arguments using a storytelling framework.
Modules
- Visual storytelling in business
- Data as the foundation of visual storytelling
- Connecting data to visualisations
- Essential principles of visual design
- Extracting insights using dashboards
- Narrative and presentation
Who Should Attend
This course is ideal for any professional who regularly analyses data or is involved in communicating insights to a business audience. Functional analysts and data analysts who want to improve their data visualisation and presentation skills will benefit from the course material. Additionally, managers in search of visual storytelling tools that can help present data in a way that informs and improves decision-making will gain practical skills that can immediately be applied to their work environment.
Technical Requirements
Basic Requirements
In order to complete this course, you’ll need a PDF Reader. You may also need to view Microsoft PowerPoint presentations, as well as read and create documents in Microsoft Word or Excel.
Additional Requirements
Some courses may require certain software and resources, which will be communicated to you upon registration and/or at the start of the course. Please note that Google, Vimeo and YouTube may be used in our course delivery.
Course Convenor
Ms Samantha Sow
Senior Lecturer, Department of Information Systems and Analytics, National University of Singapore (NUS)
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.
Samantha has over eight years of experience in business analytics and data science. She has a passion for engaging and inspiring others to enhance their workplace analytics capabilities and increase the business intelligence quotient within their organisations. Her interest lies in the application of data analytics, predictive modelling and optimisation techniques for deriving actionable insights for commercial purposes.
Along with holding several certifications from Microsoft, SAS and Tableau, she completed her Master of Education from the University of Sheffield and graduated from NUS with a Bachelor’s in Engineering with first-class honours.