(SCTP) Advanced Certificate in Data Communications and Visualisation for Business Analyst

Participants keen to pursue roles in data communications and visualisation, such as Junior Data Analyst, Business Analyst. 

Trainees must meet all the requirements below in order to be eligible to apply for the programme:

• Singapore Citizen, Singapore Permanent Resident or LTVP+ holder
• At least 21 years old
• Registering as a self-sponsored participant

At the end of the 12-week programme, participants will be able to:

• Develop a solid understanding of data visualisation principles, techniques, and terminology, enabling non-technical professionals to effectively communicate insights from data
• Gain hands-on experience with popular data visualisation tools such as Tableau, Excel, and Python libraries, empowering participants to create a wide range of visualisations and interactive dashboards
• Learn how to construct compelling narratives using data, merging visualisations and storytelling techniques to convey insights that resonate with diverse audiences and drive decision-making
• Delve into advanced visualisation methods for specific data types (time series, geospatial), ensuring participants are well equipped to tackle complex datasets and represent intricate relationships
• Be equipped with the skills needed to transition into data visualisation roles, preparing them to apply for positions where they can contribute meaningfully to data-driven projects and teams

To achieve the (SCTP) Advanced Certificate in Data Communications and Visualisation for Business Analyst, participants will need to complete the following modules offered by SMU Academy:

Module 1: Data Visualisation Fundamentals and Core Principles

This module offers a comprehensive introduction to data visualisation, emphasising its significance in decision-making. It further delves into foundational concepts in data manipulation, such as data types and their preprocessing, along with an introduction to common charts and graphs used in visualisation. Participants will gain hands-on experience through practical exercises using popular data visualisation tools such as Tableau, Excel, and Python libraries. These foundational topics serve as preparation for more advanced data visualisation practices covered in the subsequent modules.

Module 2: Data Storytelling and Deep Diving into Special Data Types

In this second module, it will cover the principles of data storytelling, an important aspect of data communication. It then focuses on two specific data types–time series and geospatial data–ensuring participants are equipped to tackle complex datasets and represent intricate relationships. The module concludes by delving into the creation of interactive dashboards, guiding participants on effective methods for presenting data customised for specific target audiences. In essense, participants will learn how to construct compelling narratives using data, merging visualisations and storytelling techniques to convey insights that resonate with diverse audiences and drive decision-making.

Module 3: Presenting Data, its Ethics and Creating a Capstone

This final module focuses on the finishing touches of data visualisation, teaching participants on how to effectively present data to others. Additionally, it incorporates a segment on visualisation ethics, enlightening participants on avoiding biases in their visualisations and detecting such errors in others' work. Lastly, participants will work on a capstone project, allowing them to revise and apply the knowledge acquired in this and the initial two modules. This will equips participants with the necessary skills to transition into roles focused on data visualisation, preparing them to seek positions where they can make substantial contributions to data-driven projects and teams.

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of every module. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment for each of the 3 modules in order to be awarded the digital (SCTP) Adanced Certificate in Data Communications and Visualisation for Business Analyst  issued by Singapore Management University.