Specialist Diploma in Data Analytics

Offered by School of InfoComm Technology

Post-Diploma / 1 year / TGS-2023040952

Note: Please note that all applications for programmes will be done via the STEP. Click the 'apply' button on this page to proceed to STEP. You are required to use your Singpass to activate your STEP account. To receive an alert about the future runs for this course, please click the 'INDICATE INTEREST' button. Thank you. STEP, the Skills Training and Enhancement Portal, is a one-stop digital platform for your training needs.
Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Trainer Profile
Entry Requirements
Course Fees

Course Information

Big data is growing at an incredible speed, and the capacity to make sense of it to make informed decisions has become a vital part of the way industries operate. Analytics is used everywhere from the health industry to aviation, which means having the skills to work with data has now become a valuable commodity.

Modules offered for Oct Intake (Application Period: 1 Jun – 31 Jul)

Machine Learning – Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1)* < Click to apply

*If you are keen to take up the full qualification, please sign up for the Specialist Diploma in Data Analytics. The module(s) listed above is/are standalone modular course(s).

Learning Outcomes

Begin the learning journey into data analytics by picking up critical technical skills and essential domain knowledge.

Learn to derive actionable insights that help drive business value through hands-on data analysis approaches. Plus, acquire fundamental coding abilities to effectively perform data visualisation, data exploration, data wrangling and statistical analysis.

Build a strong technical foundation before progressing to advanced data analytics techniques.

Launch your learning journey to became a data analyst with this programme.


Course Date: 14 Oct 2024
Application Period: 1 Jun 2024 – 31 Jul 2024
Class Day: Mon and Thu
Time: 6pm to 10.30pm
Delivery Mode: Classroom, Synchronous eLearning
Venue: Ngee Ann Polytechnic/Online

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

Post-Diploma Certificate in Data Preparation & Modelling and Machine Learning (TGS-2023040956)
Machine Learning
This module introduces the fundamentals of Machine Learning (ML) and its applications. Learners will be provided the essential context and background knowledge of Machine Learning. Learners will gain exposure to both supervised and unsupervised learning models such as Linear & Logistic Regression, Decision Tree, K-means Clustering and more. Using leading software and associated libraries, learners will be able to implement and train Machine Learning models to address business challenges.
Data Preparation and Modelling
The Data Preparation and Modelling for Analytics module equips learners with essential skills and techniques to effectively prepare and model data for analytical purposes. Learners gain proficiency in data modelling, manipulation, cleaning, and transformation, ensuring data quality and integrity. Learners will be able to efficiently transform data, build accurate models, and derive valuable insights, preparing them for roles in data analytics and decision support.
Post-Diploma Certificate in Programming for Analytics and Data Visualisation TGS-2023040953
Data Visualisation and Story Telling
This module discusses the principles and techniques for creating effective visualisations based on graphic design and perceptual psychology. Using widely adopted tools, learners will apply these principles and techniques to create rich visualisations for analysis and presentation. Learners will learn visual analysis techniques to grasp pertinent information, as well as apply exploratory techniques to further derive key insights. Data storytelling and information graphics best practices will also be explored to allow learners to present data effectively and eloquently.
Programming for Analytics
The aim of this module is to equip participants with sufficient mastery of a programming language to perform operations and analysis. This module is suitable for learners with little or no programming background. The programming language taught is Python, which is fast becoming the world’s most popular coding language due to its simplicity and flexibility. Its popularity also stems largely due to its wide range of application in areas such as machine learning, network automation, and internet of things. The module highlights the syntactical and algorithmic aspect of programming to participants. Learners will be able to code using Python, from basic to complex algorithms progressively.

Trainer's Profile

Charis Tang

Charis has obtained a bachelor's degree in Faculty of Arts and Social Sciences (NUS). and has also completed courses at SIM in fundamentals of programming and objected oriented programming. Charis also obtained training at Algoritma Data School (Jakarta) to learn data science in R and picked up Python through various other online courses. 

Charis' key domain is in Mathematics, Statistics, and programming for IT. She is also trained in Data Science.  

Charis has experience teaching students from Ngee Ann Polytechnic’s School of Infocomm and Technology PET classes for 7 years and has also taught numerous adult learners over the past 3 years. She has experience teaching Statistics, Mathematics for Programming, Programming in C+ and Python, and Data Science in Python. Currently, Charis teaches “Specialist Diploma in Data Analytics” to full time students and “Programming Foundations for Analytics” to adult learners. 

Mike Wee Toon Kim

Mike Wee is an experienced IT professional with over 20 years of expertise in deploying, supporting, and teaching enterprise systems. Throughout his career, he has worked with leading global companies such as BMW, Mercedes-Benz, and HP, leveraging his knowledge in enterprise computing to drive significant technological advancements and operational efficiencies. 

Mike's key domain areas encompass a wide range of critical IT functions, including Enterprise Computing, Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Analytics, Data Visualisation, Machine Learning, SAP, Salesforce, PowerBI, Tableau, and Python. His multifaceted skill set enables him to provide comprehensive solutions that meet the complex needs of modern businesses. 

Educationally, Mike Wee holds a Master’s Degree in Business Administration (MBA) from Nanyang Business School, Nanyang Technological University (NTU), and a Master of Education (MEd) from the University of Adelaide. He also possesses a Bachelor’s Degree (Honors) in Mechanical Engineering from NTU. Complementing his academic achievements, Mike is certified in Advanced Certificate in Training and Assessment (ACTA) and is a certified Scrum Master, underscoring his commitment to continuous professional development and excellence in project management. 

Mike's extensive experience and diverse skill set make him an asset in the IT field. His proficiency in cutting-edge technologies and enterprise systems has enabled numerous organisations to achieve their strategic goals through effective IT solutions and innovative approaches. Whether it's through enhancing operational capabilities or teaching the next generation of IT professionals, Mike consistently demonstrates a passion for technology and a dedication to excellence.


1 Specialist Diploma
2 Post-Diploma Certificates
4 Modules


You are required to complete 2 post-diploma certificates within 2-year validity period to be awarded the Specialist Diploma qualification.

Entry Requirements

Applicants with any of the following qualifications are invited to apply for the course:
  • You will need to have a local Polytechnic Diploma or recognized Degree (with English as the medium of instruction) in business, engineering, technology, or any other disciplines with at least one (1) year of relevant work experience.
  • You are required to have working knowledge of Microsoft Office e.g. Word, Excel and PowerPoint. Students enrolled into the course are expected to bring along their personal laptop. Only Windows notebook computer (Microsoft Windows 10 or newer) is recommended as you will be using Windows-based software that is not compatible with the Apple Mac Operating System platform.

Course Fees

Funding period for this course is from 1 Mar 2024 – 28 Feb 2027.

SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory. The credits can be used on top of existing course fee subsidies/funding. This is only applicable for self-sponsored applicants and must be applied via the SkillsFuture Portal. More details on the SkillsFuture Credit Claims will be advised upon admission into the course.

Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

Skills-Based Modular Courses (SBMCs) are bite-sized part-time courses for individuals to acquire new skills or deepen relevant skills, without the need to pursue a full diploma. Refer here for course fees for SBMCs.

GST Increment in 2024
Please note that the GST rate will be revised to 9% with effect from 1 Jan 2024, as such any payable course fees will be subjected to the new GST rate adjustments in 2024. Please refer to our STEP portal for the updated fees. (Click on STEP)


  • Please refer to our FAQs for more information.
  • The fees below are determined based on prevailing funding policies and subject to review and revision.

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Applicants / Eligibility Fees
Full Course Fee$8027.85
PR Sponsored by SME$835.93
Singapore Citizen Sponsored by SME$835.93
Singapore Citizen Aged 40 & Above$835.93
Singapore Citizen Aged Below 40$1204.18
Singapore PR$3211.14
Long-Term Visit Pass Plus$8027.85