Advanced Certificate in Applied Data Analytics Module 5: Business Intelligence and Storytelling with Visualisations
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted online.
3 days
Weeknights (6.30pm - 10:45pm)
Saturday (9am – 6.15pm)
Who Should Attend
- Data analysts and engineers who want to gain insights in end-to-end data pipelines
- Software developers and engineers looking to expand their knowledge of data processing workflows
- Cloud practitioners planning to use Cloud services for data pipelines and analytics
- Project managers or team leads who need an understanding of data pipeline to better communicate with technical teams and stakeholders
- Aspiring data professions seeking a foundational understanding of modern data pipelines and cloud technologies
PREREQUISITES
- Experience in Python programming (equivalent to that attained in Professional Certificate in Python Programming programme)
SYSTEM REQUIREMENTS
- Functional Laptop: (1) CPU must be of at least intel core I3, (2) GPU must have an integrated graphics card and (3) RAM must be of at least 4GB
Overview
Participants will start by mastering the fundamentals of data visualisation with Matplotlib and Seaborn, learning to create and customize a variety of plots to effectively present data. They will then learn about selecting appropriate visualisations and applying best practices to ensure clear and impactful communication of insights. Building on this foundation, participants will explore the capabilities of the Plotly package to create interactive visualisations for complex datasets, such as time series and geospatial data. In the final session, participants will learn to build dynamic, interactive dashboards using Python libraries such as Streamlit, integrating data upload, analysis, and visualisation into end-to-end web applications. By the end of the course, participants will have the skills to create engaging visualisations and develop interactive data applications.
This module is part of a sequential programme and is not available on a standalone basis.
Learning Objectives
- Create and customize visualisations using Matplotlib and Seaborn, applying best practices for effective data presentation
- Choose appropriate visualization techniques to convey information clearly and accurately
- Use Plotly (or other equivalents) to create interactive plots and visualise complex data, including time series and geospatial data
- Build dynamic, interactive dashboards, integrating data upload, analysis, and visualisations for end-to-end insights
Topic/Structure
- Visualisation Techniques with Python plotting libraries
- Visualisation for Effective Communication
- Creating Interactive Plots
- Creating Dashboards with Python
Assessment
- Individual assessment
CERTIFICATION
Upon meeting the attendance and assessment criteria, participants will be awarded a digital certificate for participating in each module. Please refer to our course policies to view the attendance and assessment criteria.
Upon completion of all modules required for this programme within a maximum duration of 3 years, participants will be awarded a digital certificate.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$784.80 (After SSG Funding 70%) |
$304.80 (After SSG Funding 70% |
$784.80 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
|
International Participant |
$2,616 (No Funding) |
$2,616 (No Funding) |
$2,616 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
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.
Employer Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Employers who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
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