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  • Home
  • About Us
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Advanced Diploma in Python Programming and Applied Data Analytics

  • Analytics & Tech
  • Innovation & Business Improvement
Next Intake: 26 Nov 2024 (Tue)
  • Intermediate
  • SkillsFuture
  • Full Certificates

This programme is conducted online.

Next course starts on
26 Nov 2024 (Tue) See Full Schedule
Fee
SGD20,928* (as low as SGD2,438.40 after maximum funding) Learn More
Duration

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)

Level
Intermediate

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

Data is the new gold in the digital era, where companies are now learning how its power can change internal processes and unveil much more than trends or patterns. Get equipped with the right language in Data and discover better solutions to real-world problems. With the Advanced Diploma in Python Programming and Applied Data Analytics, participants will learn more than just skillsets but develop a keen eye for problem analysis through the lens of data analytics.

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

Click here for more infomation about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$6,278.40

(After SSG Funding 70%)

$2,438.40

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

$6,278.40

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$2,438.40

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

$2,438.40

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

$2,438.40

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

International Participant

$20,928

(No Funding)

$20,928

(No Funding)

$20,928

(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

ModulesIntake 43Intake 44
Basics of Python Programming17, 19 & 21 Sep 2024
[Registration Closed]		5, 7 & 9 Nov 2024
[Registration Closed]
Data Structures in Python8, 10 & 12 Oct 2024
[Registration Closed]		26, 28 & 30 Nov 2024
[Open for Registration]
Advanced Functions and Data Structures in Python5, 7 & 9 Nov 2024
[Registration Closed]		17, 19 & 21 Dec 2024
[Open for Registration]
Object-Oriented Programming in Python26, 28 & 30 Nov 2024
[Registration Closed]		7, 9 & 11 Jan 2025
[Open for Registration]
Basic Data Wrangling in Python17, 19 & 21 Dec 2024
[Registration Closed]		4, 6 & 8 Feb 2025
[Open for Registration]
Implementing Capstone Projects in Data Analytics in Python7, 9 & 11 Jan 2025
[Registration Closed]		25, 27 & 1 Mar 2025
[Open for Registration]

Part 2: Advanced Certificate in Applied Data Analytics

ModulesIntake 11Intake 12
Applying Data Analytics to Sales and Marketing through Linear Models16, 17 & 20 Jul 2024
[Registration Closed]		8, 9 & 12 Oct 2024
[Registration Closed]
Avoiding Pitfalls in Business Analysis through Model Specification30, 31 Jul & 3 Aug 2024
[Registration Closed]		22, 23 & 26 Oct 2024
[Registration Closed]
Business Intelligence with Web Scraping and Text Mining13, 14 & 17 Aug 2024 
[Registration Closed]		5, 6 & 9 Nov 2024
[Registration Closed]
Storytelling with Advanced Data Visualisations27, 28 & 31 Aug 2024
[Registration Closed]		19, 20 & 23 Nov 2024
[Registration Closed]
Understanding Big Data with Cloud Computing10, 11 & 14 Sep 2024
[Registration Closed]		3, 4 & 7 Dec 2024
[Registration Closed]
Executing Projects in Applied Data Analytics24, 25 & 28 Sep 2024
[Registration Closed]		17, 18 & 21 Dec 2024
[Registration Closed]

Trainers

Germaine Goh
Head, Curriculum
SG Code Campus
Germaine Goh
Head, Curriculum
SG Code Campus
Germaine holds a Ph.D. in Bioengineering from the University of California, Berkeley, and was a recipient of the prestigious A*STAR and EDB academic scholarships. She was a senior research fellow at A*STAR, where she applied her technical skills to practical use in bioinformatics, biostatistics, data analysis and robotics, with publications in a variety of fields. She has since returned to teaching and education with SG Code Campus where she serves as the Head of Curriculum development, overseeing the structural and curriculum development for the school's entire course roadmap including python courses, as well as instructional training and quality. Germaine has taught in various contexts from individual tutoring to full classrooms, and fellow scientists.
Huang Bin
Instructor
SG Code Campus
Huang Bin
Instructor
SG Code Campus
Huang Bin holds a Master of Science in Computation for Design and Optimisation from the Massachusetts Institute of Technology. On completion of his Bachelor’s degree in Computer Engineering, he was awarded a First Class Honors by NUS School of Computing and the IEEE Gold Medal (Top student in Computer Engineering), and was honoured to be picked as the reserve Valedictorian for his 2009 cohort. Huang Bin has extensive experience in teaching and tutoring which enables him to communicate technical details to a wide audience. During his time at Barclays, he was a C++ programmer with previous experience of C#, Java and C. Using his expertise, he designed and implemented IT solutions covering trade flow, data analytics and risk control of the award-winning trading platform.
Ian Choo
Founder
SG Code Campus
Ian Choo
Founder
SG Code Campus
Ian, with a Master's in Management Science & Engineering from Stanford and a Bachelor's in Applied Mathematics & Economics from UC Berkeley, delved into Computational Engineering and Machine Learning during his Stanford studies. As a quant risk manager at Barclays Investment Bank, he refined his skills in data analysis, risk engine programming, and financial modeling in Python, R, VB.NET, and FORTRAN. Founding SG Code Campus, Ian designs and teaches curricula in Web & Mobile Programming, Cloud Computing, Data Science, and Machine Learning for diverse audiences, including kids, youths, Polytechnic and University students, and professionals. He continuously enhances teaching methods to engage learners effectively across different age groups and backgrounds.
Lui Huiliang
Chief Product Officer
SG Code Campus
Lui Huiliang
Chief Product Officer
SG Code Campus
With an engineering scholarship at the Defence Science and Technology Agency (DSTA) under his belt, Huiliang now dedicates his expertise to the field of technology education. As an AWS Authorised Instructor, he leverages Python and state-of-the-art data analytics tools to transform complex datasets into actionable insights. But Huiliang isn't just about numbers. His infectious enthusiasm for math, science, and engineering fuels a passion for programming in his students. He firmly believes that interest is the spark of aptitude, and he embodies this philosophy by showcasing the fascinating real-world applications of computer science. With Huiliang, you aren't just learning - you're exploring the world of tech through the lens of AWS.
Natasha Waliany
Instructor | Certified Apple Professional Learning Provider
SG Code Campus
Natasha Waliany
Instructor | Certified Apple Professional Learning Provider
SG Code Campus
Natasha is a certified Apple Professional Learning Provider at SG Code Campus, an official Apple Consultants Network Partner organisation. She graduated with a Master of Science (Distinction) in Computer Science from the University of Hong Kong with a 4.0 GPA, and a Bachelors of Arts in Mathematics and Science (Great Distinction) from McGill university. Her experience as a software engineer ranges from working with startups and multinationals in Singapore and USA including IBM where she worked on data quality management solutions that helped deliver quality data for big data, business intelligence, data warehousing, application migration and master data management projects. She has experience leading software teams at ST Electronics’ i-Learning division and founded 2 startups including an iPhone app development company, where she developed the MakanSutra iOS app.
Philip Beh
Software Developer
TEKsystems
Philip Beh
Software Developer
TEKsystems
Philip, a Software Developer at TEKsystems, holds an MSC in Computing from the National University of Singapore and a BCS from the University of Malaya. With experience in Singapore and Malaysia, he has contributed to diverse projects, including backend applications for telecom giants like Maxis, Digi, and Celcom, web apps for Malaysian banks, and embedded software for the Land Transport Authority of Singapore. At TEKsystems, he's currently deployed at Facebook, focusing on product systems automation. Philip advocates for a practical education in programming and data science, emphasising their relevance across all ages and career stages. Leveraging his software engineering background and academic expertise, he aims to impart this knowledge to his students, recognising the increasing integration of technology in everyday life.
Sun Chang
Senior Data Scientist
Grab
Sun Chang
Senior Data Scientist
Grab
Sun Chang holds a PhD in Computational Engineering from Singapore-MIT Alliance at the National University of Singapore (NUS) and a Bachelor’s degree in Applied Mathematics, where he was awarded First Class Honours by the NUS Faculty of Science. A full-time Senior Data Scientist in Grab, Sun Chang deals extensively in the areas of Database management, Data Analytics, Data Visualisation, Model Training, Big Data and Cloud Computing. He has also previously worked as a technical consultant providing AI solutions to hospitals and manufacturing industries. Sun Chang believes that the rare combination of his scholastic background, paired with a wealth of practical experience across a spectrum of diverse industries empowers him to provide his students with the ideal balance of theory and practicum in the classroom.
Yong Yang Chung
Technical Programme Manager, Instructor & Curriculum Developer
SG Code Campus
Yong Yang Chung
Technical Programme Manager, Instructor & Curriculum Developer
SG Code Campus
Yong Yang offers a comprehensive perspective on technology, drawing from his expertise in Python programming, web development, cloud computing, and data science. His teaching caters to diverse learners, from finance professionals to government personnel. Beyond teaching, Yong Yang excels as a system architect and UI/ UX designer. Being an AWS Authorized Instructor, his extensive knowledge of AWS services enriches his classes, making them highly sought-after by individuals aiming to master the AWS platform.

Testimonials

It all started with my curiosity about the current data boom and wanting to keep up with the industry trends. Today, I am delighted to share that I have successfully achieved the Advanced Diploma in Applied Data Analytics (Python) from SMU Academy! I appreciate how detailed and dedicated the lecturers, Dr Chang Sun, Bin Huang and Natasha Waliany are, and how beginner-friendly they have made the course to be. Along with my Capstone Project mates, I enjoyed the process of using data analytics to analyse crime trends in Washington DC and the opportunity to explore different ensemble learning methods for classification, regression, and prediction during our training!
Weilun Liang, William
Senior Technical Services Engineer
Singapore Airlines

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