(SCTP) Advanced Certificate in Data Communications and Visualisation for Business Analyst
- Analytics & Tech
- Digital Marketing & Comms
This programme is conducted in person and via Asynchronous and Synchronous E-Learning.
330 hours over 3 months
Asynchronous E-Learning: 238 hours
Synchronous E-Learning: 36 hours
Classroom Learning: 28 hours
Assessments: 28 hours
Who Should Attend
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
Overview
This certificate programme is designed for non-technical professionals who want to develop data visualisation skills to effectively communicate insights through data. It will cover important and commonly-used data visualisation techniques, popular tools, and best practices for data storytelling. By the end of the programmes, participants will be equipped with the knowledge and skills to effectively communicate with their department using data. The programme will bring industry experts in data visualisation to the table, and will provide hands-on projects to reinforce learning and aid in achieving unit objectives.
Topics include:
- Introduction to Data Visualisation
- Data Types and Data Preprocessing
- Basic Charts and Graphs
- Advanced Charts and Graphs
- Principles of Data Storytelling
- Focus: Visualising Time Series Data
- Focus: Visualising Geospatial Data
- Interactive Dashboards
- Data Visualisation for Presentations
- Data Visualisation Ethics and Misinterpretations
- Capstone Project
- Capstone Review: Data Visualisation Best Practices
Learning Objectives
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
Topic/Structure
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.
Assessment
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.
Fee Table
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
|
Singapore Citizen < 40 years old Permanent Resident
|
$6,278.401 |
|
Singapore Citizen ≥ 40 years old4 |
$2,438.402 |
|
Singapore Citizens who qualify for AFS |
$1,478.403 |
All prices include 9% GST
1 Up to 70% course fee funding
2 Up to 90% course fee funding under SkillsFuture Mid-Career Enhanced Subsidy ("MCES")
3 Up to 95% course fee funding under Additional Funding Support ("AFS") where participants must be:
- Singapore Citizens; and
- Long-term unemployed individuals (6 months or more); or
- Individuals in need of financial assistance [ComCare Short-to-Medium Term Assistance (SMTA) recipients or Workfare Income Supplement (WIS) recipients]; or
- Persons with disabilities
4 SkillsFuture Level-Up Programme for Mid-Career Individuals (NEW)
A SkillsFuture Credit (Mid-Career) top-up of $4,000 will be provided to Singaporeans aged 40 years and above to further offset out-of-pocket course fees for this programme.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Intake Information
This programme is conducted in person and via Asynchronous and Synchronous E-Learning.
Intake 1: [TBA]
| MODULES | DATES |
|---|---|
| Module 1: Data Visualisation Fundamentals and Core Principles | TBA |
| Module 2: Data Storytelling and Deep Diving into Special Data Types | TBA |
| Module 3: Presenting Data, its Ethics and Creating a Capstone | TBA |
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