Data Storytelling with Visualisation

Overview

Part of the ModularMaster in Data Science programme

A picture speaks a thousand words. According to the World Economic Forum, the world produces 2.5 quintillion bytes of data daily and we need to be able to quickly and effectively understand what data means and be able to make decisions based on numbers and patterns. Data visualisation helps us to identify patterns, trends, understand relationships and provide better data presentation through visuals such as graphs, charts, and information visuals.

The course will be leveraging real business data and examples to illustrate the application of data storytelling and visualization tools. The focus will be on practical application and usage of the tools to create tangible output by the end of the course. Students are expected to work in groups to complete a case study using either Tableau or PowerBI, demonstrating the application of data storytelling skills for their final project.

Plan your learning path

This course can be taken as a module on its own or as part of the Graduate Certificate in Fundamentals in Data Science stack and phttps://www.sutd.edu.sg/Admissions/Academy/Our-Offerings/MyModularMaster/Graduate-Certificate-Data-Sciencearticipants will earn 12 subject credits which can also be used towards completing the ModularMaster in Data Science.

Course Details

Course dates:
Currently unavailable.

Duration:
5 days, 9:00am – 5:00pm

Who Should Attend

• The course does not cover any programming related content, and is ideal for adult learners interested in using data visualisation at work or for personal enrichment.
• Participants in roles which require interpretation and presentation of data.
• Aspiring data/business analysts or data scientists looking to acquire skills in the data visualisation component.
• Ideal for participants who are in or looking to acquire skills for roles such as entry-level Data Analysts, Business/Operation Analysts, Business Intelligence Analysts

Prerequisites

• Participants should preferably have passed mathematics at least ‘O’ Level or equivalent.
• Participants should be conversant with basic IT skills such as software installation, file management and web navigation.
• Participants are encouraged to complete the Foundation of Data Science course before enrolling in this course.
• Participants are required to bring their laptops with Windows Operating System installed.