Advanced Certificate in Applied Data Science and Analytics (I)
- Analytics & Tech
- Innovation & Business Improvement
15 Days
Who Should Attend
- Ideal for non-data analysts in various industries using Excel for data work. Requires basic Tableau/Power BI skills or similar data handling exposure.
- Enhances digital literacy for competent business or data analyst roles.
PREREQUISITES
This programme is structured to provide a comprehensive learning experience. Participants are required to sign-up for all five (5) modules and complete the modules in the designated sequence to ensure a solid understanding of each topic before moving on to the next.
Overview
The Advanced Certificate in Applied Data Science and Analytics (I) is a practical, five-module programme designed to develop essential data analytics skills for today’s workplace.
Participants start by building a strong foundation in statistics and data processing with Excel, then advance to creating compelling visualisations using Tableau. The course continues with data transformation and feature engineering techniques for handling both structured and unstructured data. Next, learners dive into core machine learning methods using Python, and conclude with a capstone practicum that integrates Tableau and Python to solve real-world data challenges.
This programme prepares professionals to confidently analyze data and deliver actionable insights that enhance business decision-making.
Topic/Structure
To achieve the Advanced Certificate in Applied Data Science and Analytics (I), participants will need to complete the following modules offered by SMU Academy:
Module 1: Introduction to Statistics and Data Processing Using Excel
Module 2: Visual Analytics - Data Analysis Using Tableau
Module 3: Data Transformation and Feature Engineering with Structured and Unstructured Data
Module 4: Machine Learning Using Python
Module 5: Practicum using Tableau and Python
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 5 modules within 3 years in order to be awarded the digital Advanced Certificate in Applied Data Science and Analytics (I) issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| EMPLOYER-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$4,905 (After SSG Funding 70%) |
$1,905 (After SSG Funding 70% |
$4,905 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$1,905 (After SSG Funding 70% |
$1,905 (After SSG Funding 70% |
$1,905 (After SSG Funding 70% |
|
International Participant |
$16,350 (No Funding) |
$16,350 (No Funding) |
$16,350 (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.
Intake Information
| MODULES | DATES |
|---|---|
| Module 1: Introduction to Statistics and Data Processing Using Excel | 1 - 3 Oct 2025 (Classroom Facilitated Training) [Open for Registration] |
| Module 2: Visual Analytics - Data Analysis Using Tableau | 27 - 29 Oct 2025 (Classroom Facilitated Training) [Open for Registration] |
| Module 3: Data Transformation and Feature Engineering with Structured and Unstructured Data | 17 - 19 Nov 2025 (Classroom Facilitated Training) [Open for Registration] |
| Module 4: Machine Learning Using Python | 1 - 4 Dec 2025 (Classroom Facilitated Training) [Open for Registration] |
| Module 5: Practicum using Tableau and Python | 10 Jan - 14 Feb 2026 Session Timing: |
*Online registration will close 5 calendar days before the course start date
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