Specialist Diploma in Data Analytics

Post-Diploma / 1 year

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Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Trainer Profile
Certification
Entry Requirements
Course Fees
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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.

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.

Course 
Schedule

Monday, 6:00 pm to 10:00 pm
Thursday, 6:00 pm to 10:00 pm

Course Start Date: 19 Apr 2021
Application Period: 15 Dec 2020 to 31 Jan 2021
Application Outcome Date: 1 Mar 2021

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 Visualisation and Programming for Analytics
Module
Data Visualisation and Storytelling
This module discusses the principles and techniques for creating effective visualisations based on graphic design and perceptual psychology. Using widely adopted tools, you will apply these principles and techniques to create rich visualisations for analysis and presentation. You 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.
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Module
Programming for Analytics
The aim of this module is to equip you 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 applications in areas such as machine learning, network automation, and internet of things. The module highlights the syntactical and algorithmic aspect of programming to participants. You will be able to code using Python, from basic to complex algorithms progressively.
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Post-Diploma Certificate in Data Wrangling and Descriptive Analytics
Module
Data Wrangling
The aim of this module is to equip you with the tools and skills sets to handle, clean and prepare large curated data sets for data analytics purposes. Participants of this module should minimally have basic programming knowledge and be able to understand and decipher simple syntaxes. The processed data sets will allow for meaningful statistical analysis, data modelling, and machine learning to be easily performed. Emphasis will be placed on the Extraction, Transformation, and Loading (ETL) of data sets. The use of relevant programming libraries for Missing and Time Series Data will also be explored. Learners will experience the process of exploratory data analysis, normalization of data and data distribution, which will be crucial for subsequent understanding of machine learning concepts and models.
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Module
Descriptive Analytics
In this module, you will first be exposed to Descriptive Statistics concepts, delving into topics such as central tendency, normal distribution, measures of variability, variance and standard deviation. Following which you will be able to perform univariate, multivariate and correlation analysis in order to identify inherent patterns and derive key insights from business data. You will also create appropriate visualisation components using systems to gain insights from the data. These visualisation components will be synthesized into dashboards that can be readily adopted by users.
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Trainer's Profile

Low Wee San

Wee San holds a Bachelor of Mechanical and Production Engineering (Hons) from Nanyang Technological University, a Specialist Diploma in Business Analytics from Polytechnic, as well as a Graduate Certificate in Business Administration from Victoria University of Technology. He also holds the WDA Advanced Certificate in Training and Assessment (ACTA).

He is certified as an SAP Consultant, Scrum Master, and IT Project Manager. He has many years of work experience handling IT Projects and Operation Management in the areas of Enterprise Resource Planning and Enterprise Information Management with organisations such as IBM, Hitachi, Lenovo, Pentair, Singtel, etc.

Wee San has now focused his energies and expertise in managing and training full-time students and part-time adult learners as a full-time lecturer in Ngee Ann Polytechnic, in IT technologies such as Enterprise Resource Planning (ERP), Robotic Process Automation (RPA), Blockchain Technology, Data Visualisation, as well as Project Management.

Certification

1 Specialist Diploma
2 Post-Diploma Certificates
4 Modules

Certification

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.
Offered by School of InfoComm Technology

Course Fees

Note:

  • The fees below are per semester.
  • The fees below are inclusive of GST.
  • The fees below are determined based on prevailing funding policies and subject to review and revision.

SkillsFuture Credit
All Singaporeans aged 25 years and above can use their $500 SkillsFuture Credit from the government to pay f​or a wide range of courses. 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. To view eligible courses offered by Ngee Ann Polytechnic, please click here. Find out more about SkillsFuture Credit at www.skillsfuture.sg/credit.​​​​​​

Refer here for full table of course fees throughout the semesters.

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.

Applicants / Eligibility Fees
Singapore Citizens (SC) below the age of 40 years$546.50
Singapore Citizens (SC) aged 40 and above$364.34
Singapore Permanent Residents (PR)$1457.34
Enhanced Training Support for SME Scheme (for SC & SPR)$376.26
Others (and Repeat Students)$3643.36