Industry Graduate Diploma in Python Programming and Applied Data Analytics
- Analytics & Tech
- Innovation & Business Improvement
SMU Academy is replacing this Advanced Diploma to our brand new Industry Graduate Diploma (IGD) to offer a more structured and flexible learning pathway. More details here.
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
Admission requirements
- A Bachelor’s Degree with at least 5 years of working experience; or
- A Diploma from a local polytechnic with at least 10 years of relevant work experience
Overview
Learning Objectives
The Industry Graduate Diploma in Python Programming and Applied Data Analytics aims to equip learners with fundamental concepts and data analysis skills in programming.
Through this programme, learners will:
- Learn the use of functions and data structures in Python.
- Learn the object-oriented programming paradigm.
- Learn basic data wrangling techniques in Python.
- Learn applied data analysis using Python.
- Develop a strong analytical mindset alongside the technical skills needed to uncover, analyse, and evaluate patterns from data.
- Learn large-scale data analysis with cloud computing by harnessing the power of virtual machines deployed on the Amazon Web Services (AWS) cloud.
- Complete a practical capstone project to add to their portfolio, showcasing their Python and data analysis competencies.
Topic/Structure
To achieve the Industry Graduate Diploma in Python Programming and Applied Data Analytics, participants will need to complete the following certificates offered by SMU Academy in sequential order:
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
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of every module as well as an overall Industry Graduate Diploma exam. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
CERTIFICATION
Upon completion of all the required modules within 2 years and passing the overall IGD exam, participants will be awarded an Industry Graduate Diploma in Python Programming and Applied Data Analytics.
PROGRAMME FEES - TBA
*SkillsFuture Level-Up Programme for Mid-Career Individuals (pending approval for this programme)
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
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)
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Trainers
Testimonials
