[NP-SDDA1] Specialist Diploma in Data Analytics (SDDA1)

Offered by School of InfoComm Technology

Specialist Diploma

About Course
Course Structure
Entry Requirements
Financial Matters
Course Schedule

About Course

Course Objectives

The SDDA1 aims to train learners to fully grasp employment opportunities in the field of data visualisation/story-telling and Machine Learning. They would use analytical tools to wrangle data, apply techniques to develop software to investigate leads, identify patterns and regularities in data, and offer solutions to address information needs of the organisation.

Course Description

The Specialist Diploma in Data Analytics (SDDA1) is a part time CET course, consist of the following modules:
1) Programming for Analytics (75 hrs)
2) Data Visualisation and Storytelling (75 hrs)
3) Data Preparation and Modelling (75 hrs)
4) Machine Learning (75 hrs)

Target Audience

The Specialist Diploma in Data Analytics (SDDA1) is a part time CET course, consist of the following modules: 1) Programming for Analytics (75 hrs) 2) Data Visualisation and Storytelling (75 hrs) 3) Data Preparation and Modelling (75 hrs) 4) Machine Learning (75 hrs)

Trainer's Profile

Terence Choo Cheng How

Terence is a Senior Lecturer in the School of InfoComm Technology at Ngee Polytechnic, where he has served as the section head of the mathematics cluster. His teaching portfolio includes courses such as Computing Mathematics, Discrete Statistics, Advanced Statistics, Maths for Games, Maths for Data Science, R Programming, and Programming in Python and Java.

To enhance his expertise, Terence has pursued additional training in Data Analytics. With 26 years of teaching experience and a deep passion for both teaching and learning, he is committed to further developing his skills in the field of Data Analytics. He is a Certified Trainer in Data Visualisation Specialisation and Machine Learning Specialisation (NP & Algoritma), and he also holds the designation of Certified ScrumMaster. Terence also has experience teaching adult learners in statistical analysis using Python, as well as in delivering part-time diploma courses in statistics.

Terence was the founder and program lead of the NP Diploma Plus –   Certificate in Advanced Computing Mathematics (CACM) in 2007.  He developed and published two textbooks: “Computing Mathematics” in 2005 and “Introduction to Discrete Mathematics” in 2015. These books are primarily aimed at students pursuing Diploma courses in the field of InfoComm Technology.


Pamela Loy

Dr Pamela Loy is a Senior Education Specialist with the School of InfoComm Technology (ICT) at Ngee Ann Polytechnic. She holds a PhD in Education from the University of Western Australia and a Master of Science in Computer Science from the Birkbeck College, University of London. Additionally, she is an ACTA certified Adult Educator of the Institute of Adult Learning, Singapore and has been in education for over 40 years.

Dr Loy’s domain area of expertise is software development, specifically in analysis, design and programming. She is proficient in several programming languages including Java, Python, C, C++ and C#.

Besides teaching, Dr Loy’s focus in ICT is training and learning capability development in curriculum, pedagogy and assessment to support the professional growth of staff.

Lee Kok Ann Leonard

Leonard Lee has completed a Bachelor of Accountancy Degree in NTU with Honors. He has also an MBA in Finance with Distinction from University of Leeds. He has also completed ACTA in 2019 and is a qualified adult trainer.

Leonard is a Banking Specialist and a Data Visualisation and Governance subject matter expert. He is an experienced banking professional with over 20 years of experience in Finance, Product Control, Project Management and Operational Risk. He has managed teams both onshore and offshore in various functions and has been proven to be an effective/motivational leader with minimal staff turnover. In addition, he has also led teams in large-scale acquisition projects and delivered the Finance infrastructure for external acquisitions. He is a Singapore CPA with extensive knowledge in PC, including end to end booking process. He has also knowledge in PRA regulations especially around Basel capital computations and is proficient in interpreting and applying IFRS accounting rules.

Leonard currently teaches the “Specialist Diploma in Data Analytics” programme to adult learners in the CET space. He also trains adult learners in the “Data Visualisation Primer”, “Data Visualisation and Story Telling” and “Data Governance” short courses.

Toh Ser Chye

Toh Ser Chye holds a Master of Science in Industrial & Systems Engineering from the National University of Singapore. He has also attained an Advanced Certificate in Learning and Performance.

Ser Chye’s area of expertise is in Data Science domain.

Prior to joining Ngee Ann Polytechnic, Ser Chye worked in the global semiconductor sector. He has a broad-ranging experience across operation planning & control, test development, Capex optimisation and KPI reporting, covering global sites. Ser Chye has also led test development projects in areas of research and development.

Ser Chye is a Senior Lecturer at Ngee Ann Polytechnic’s School of Infocomm Technology. He is the Senior Manager in the “Diploma in Data Science” and teaches modules in the subject of Data Visualisation, Distributed Data Pipelines, Machine Learning, Applied Analytics etc. Ser Chye also double hats as Programme Coordinator for the “Specialist Diploma in Data Analytics” programme” and trains adult learners in the CET space in the programme.

Course Structure

TPG course reference No.

TGS-2023040952

Specialist Diploma in Data Analytics

Post-Diploma Certificate in Data Preparation & Modelling and Machine Learning
Data Preparation and Modelling (NP-0621DPM)
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.
Machine Learning (NP-013199)
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.
Post-Diploma Certificate in Programming for Analytics and Data Visualisation
Data Visualisation and Story Telling (NP-012791)
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 (NP-012792)
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.

Entry Requirements

Condition 1

Highest qualification

Polytechnic Diploma
or

Condition 2

Highest qualification

Bachelor's Or Equivalent
or

Condition 3

Working experience

Full-time; Duration: 1 year

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description Post-Diploma Certificate in Programming for Analytics and Data Visualisation Post-Diploma Certificate in Data Preparation & Modelling and Machine Learning Total course fee
Full Course fee $4,185.60 $4,185.60 $8,371.20
PR Sponsored by SME $435.84 $435.84 $871.68
Singapore Citizen Sponsored by SME $435.84 $435.84 $871.68
Singapore Citizen Aged 40 & Above $435.84 $435.84 $871.68
Singapore Citizen Aged Below 40 $627.84 $627.84 $1,255.68
Singapore PR $1,674.24 $1,674.24 $3,348.48
Long-Term Visit Pass Plus $4,185.60 $4,185.60 $8,371.20

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The first payment needs to be made after accepting the offer.

Allowed payment by

The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.

Course 
Schedule

The January 2025 Intake is a 9-month course. Please click here for the course schedule.

PDC1 - Post-Diploma Certificate in Programming for Analytics and Data Visualisation (Jan 2025 - Mar 2025):

Course Start Date: 6 Jan 2025
Class Day: Every Mon, Tues, Wed, Thurs & Fri
Time: 6.00pm to 10.30pm

PDC2 - Post-Diploma Certificate in Data Preparation & Modelling and Machine Learning (Apr 2025 - Aug 2025)

Course Start Date: <to be confirmed>
Class Day: Every Mon & Thurs

Time: 6.00pm to 10.30pm