Advanced Certificate in Applied Data Analytics
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted online.
Please refer to respective modules for dates.
Weeknights (7pm - 10:30pm)
Saturday (9am - 6:00pm)
Who Should Attend
- Data science professionals
- Managers looking to explore predictive modelling
- Those interested in learning and applying advanced data analysis techniques
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
Learning Objectives
- An introduction to large scale data analysis with Cloud Computing by harnessing the power of virtual machines deployed on the Amazon Web Services cloud
- Build a strong analytical mindset along with the technical skills to uncover, analyse and evaluate patterns from data
- Complete a practical capstone project to add to their portfolio to showcase their Python and Data Analysis competencies
Topic/Structure
Assessment
- Classroom exercises
- Project presentations
CERTIFICATION
Upon completion of all 6 modules within a maximum duration of 3 years, participants will be awarded a digital Advanced Certificate in Applied Data Analytics.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$3,139.20 (After SSG Funding 70%) |
$1,219.20 (After SSG Funding 70% |
$3,139.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$1,219.20 (After SSG Funding 70% |
$1,219.20 (After SSG Funding 70% |
$1,219.20 (After SSG Funding 70% |
|
International Participant |
$10,464 (No Funding) |
$10,464 (No Funding) |
$10,464 (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.
Company 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 will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies 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)
Intake Information
| Modules | Intake 11 | Intake 12 |
|---|---|---|
| Applying Data Analytics to Sales and Marketing through Linear Models | 16, 17 & 20 Jul 2024 [Registration Closed] | 8, 9 & 12 Oct 2024 [Registration Closed] |
| Avoiding Pitfalls in Business Analysis through Model Specification | 30, 31 Jul & 3 Aug 2024 [Registration Closed] | 22, 23 & 26 Oct 2024 [Registration Closed] |
| Business Intelligence with Web Scraping and Text Mining | 13, 14 & 17 Aug 2024 [Registration Closed] | 5, 6 & 9 Nov 2024 [Registration Closed] |
| Storytelling with Advanced Data Visualisations | 27, 28 & 31 Aug 2024 [Registration Closed] | 19, 20 & 23 Nov 2024 [Registration Closed] |
| Understanding Big Data with Cloud Computing | 10, 11 & 14 Sep 2024 [Registration Closed] | 3, 4 & 7 Dec 2024 [Registration Closed] |
| Executing Projects in Applied Data Analytics | 24, 25 & 28 Sep 2024 [Registration Closed] | 17, 18 & 21 Dec 2024 [Registration Closed] |
Testimonials
