Professional Certificate in Python Programming Module 6: Implementing Capstone Projects in Data Analytics in Python

Analytics & Tech
Innovation & Business Improvement

Next Intake: 29 May 2025 (Thu)

Basic
SkillsFuture
Full Certificates
This module is part of Professional Certificate in Python Programming

This programme is conducted online.

Next course starts on

29 May 2025 (Thu) See Full Schedule

Fee

SGD2,180* (as low as SGD254 after maximum funding) Learn More

Duration

Intake 44:
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)

Intake 45:
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)

Level

Basic

Who Should Attend

Aspiring data science professionals seeking to apply Python to real-world data problems e.g. business intelligence analysts, data engineers
Anyone with an interest in learning the fundamentals of data science programming
Professionals looking for a deeper understanding and hands-on experience with professional educators who are also industry experts

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

Having built a solid foundation in Python and acquired basic competence in data wrangling, participants will be tasked to apply this set of skills in a group-based capstone project in basic Data Analytics to demonstrate their Python competency. Participants will select from one of three different datasets (in the fields of finance, sociology or government), perform detailed analyses on the dataset and present their thesis based on their analysis. The module culminates in a group capstone project presentations, as well as the submission of final reports documenting the capstone project.

This module is part of a sequential programme and is not available on a standalone basis.

Learning Objectives

Demonstrate a solid foundation in Python
Use relevant analyses to answer specific questions
Apply and demonstrate understanding through a capstone project

Topic/Structure

Group-based capstone project in Data Analytics
Perform detailed analysis on finance, sociology or government dataset
Capstone Presentations and Report Submission

Assessment

Group assignments
Project presentations

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+

$654

(After SSG Funding 70%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

(After SSG Funding 70%
+ MCES Funding 20%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$254

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(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 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