Advanced Diploma in Python Programming and Applied Data Analytics
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted online.
Please refer to respective modules for dates.
Part 1: Professional Certificate in Python Programming
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
Part 2: Advanced Certificate in Applied Data Analytics
Weeknights (7pm - 10:45pm)
Saturday (9am - 6pm)
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 about the fundamentals of data science programming and applying advanced data analysis techniques
- Professionals looking for a deeper understanding and hands-on experience with professional educators who are also industry experts
- Managers looking to explore predictive modelling
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
Advanced Diploma in Python Programming and Applied Data Analytics offers students the opportunity to advance their careers and highly sought after skills for the new digital economy. Students will learn how to use the right software and techniques to read visual and statistical data and present it in a way that solves real-world problems. The course emphasises collaboration, experiential learning and team building to solve data-driven challenges.
Learning Objectives
- Fundamental concepts in programming
- Use of functions and data structures in Python
- Object-oriented programming paradigm
- Basic data wrangling in Python
- Applied data analysis using Python
- Build a strong analytical mindset along with the technical skills to uncover, analyse and evaluate patterns from data
- Get an introduction to large scale data analysis with Cloud Computing by harnessing the power of virtual machines deployed on the Amazon Web Services cloud
- Complete a practical capstone project to add to their portfolio to showcase their Python and Data Analysis competencies
Topic/Structure
Part 1: Professional Certificate in Python Programming
- Basics of Python Programming
- Data Structures in Python
- Advanced Functions and Data Structures in Python
- Object-Oriented Programming in Python
- Basic Data Wrangling in Python
- Capstone Project in Data Analytics
Part 2: Advanced Certificate in Applied Data Analytics
- Applying Data Analytics to Sales and Marketing through Linear Models
- Avoiding Pitfalls in Business Analysis through Model Specification
- Business Intelligence with Web Scraping and Text Mining
- Storytelling with Advanced Data Visualisations
- Understanding Big Data with Cloud Computing
- Executing Projects in Applied Data Analytics
Assessment
Graduation Requirement
The Advanced Diploma qualification will be conferred on participants who successfully complete both the Professional Certificate in Python Programming and the Advanced Certificate in Applied Data Analytics in sequence within 3 years of commencing the first module.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$7,063.20 (After SSG Funding 70%) |
$2,743.20 (After SSG Funding 70% |
$7,063.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$2,743.20 (After SSG Funding 70% |
$2,743.20 (After SSG Funding 70% |
$2,743.20 (After SSG Funding 70% |
|
International Participant |
$23,544 (No Funding) |
$23,544 (No Funding) |
$23,544 (No Funding) |
All prices include 9% GST
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
Part 1: Professional Certificate in Python Programming
| Modules | Intake 44 | Intake 45 |
|---|---|---|
| Basics of Python Programming | 5, 7 & 9 Nov 2024 [Registration Closed] | 14, 16 & 18 Jan 2025 [Open for Registration] |
| Data Structures in Python | 26, 28 & 30 Nov 2024 [Registration Closed] | 4, 6 & 8 Feb 2025 [Open for Registration] |
| Advanced Functions and Data Structures in Python | 17, 19 & 21 Dec 2024 [Registration Closed] | 25, 27 Feb & 1 Mar 2025 [Open for Registration] |
| Object-Oriented Programming in Python | 7, 9 & 11 Jan 2025 [Registration Closed] | 18, 20 & 22 Mar 2025 [Open for Registration] |
| Basic Data Wrangling in Python | 4, 6 & 8 Feb 2025 [Registration Closed] | 8, 10 & 12 Apr 2025 [Open for Registration] |
| Implementing Capstone Projects in Data Analytics in Python | 25, 27 Feb & 1 Mar 2025 [Registration Closed] | 29, 30 & 3 May 2025 [Open for Registration] |
Part 2: Advanced Certificate in Applied Data Analytics
| 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] |
Trainers
Testimonials
