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[NP-SDA1-11] Programming for Analytics - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1)

Offered by School of InfoComm Technology

Specialist Diploma

Course Schedule
About Course
Course Structure
Entry Requirements
Financial Matters
Apply Register Interest
Area of interest
Data Analytics, Technology

Course Schedule

  1. Registration Period 01 Dec 2025 - 28 Feb 2026
  2. Course Date 20 Apr 2026 - 30 Sep 2026
  3. Venue NGEE ANN POLYTECHNIC
  4. Schedule Info Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Classes Day: Every Mon or Thurs
Time: 6pm to 10.30pm
Mode of training: Classroom, Synchronous eLearning

Recommended that learners have prior knowledge of Python programming before enrolling in other modules. If learners do not have a background in Python programming, they are encouraged to take Programming for Analytics first.

About Course

Course Objectives

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.

Course Description

Programming for Analytics - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1) is a 75hrs module. In this module, you will:
1. Master the basics of Python programming.
2. Perform operations and analysis using Python.
3. Understand Python’s syntax and algorithms.
4. Progress from basic to complex coding tasks.

Course Structure

TPG course reference No.

TGS-2023040955

Programming for Analytics - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1)
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

Requirement(s)
  • Local Polytechnic Diploma in any discipline
    or
  • Recognised University Degree in any discipline
    or
  • At least 1 year of relevant work experience


  • Learners enrolled into the course are expected to bring along their personal laptop.
  • Basic IT literacy, including operating system navigation, digital file management (creating, saving, organizing), and the use of standard productivity software (e.g., Microsoft Office, Google Workspace), is expected of participants.
    In addition, you must be adept at using web browsers for research and communicating through email and video conferencing technologies (MS Teams).

Required Minimum Specifications for Laptop Computers
  • Processor: Intel Core i7 or AMD Ryzen 7 Series
  • RAM: 16 GB (32 GB recommended)
  • Storage: 1 TB Solid State Drive (SSD) or above
  • Screen: FHD 1920 x 1080 resolution (14 inch recommended)
  • Graphics: Dedicated graphics card with 8 GB VRAM or above
  • Operating System: Microsoft Windows 11
  • I/O Ports (required for your course): HDMI
  • Peripherals: Portable Solid-State Drive (SSD) 512 GB

* Communication platform: Microsoft TEAMS (mandatory to have this tool installed in the laptop)

Financial matters

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

Description Programming for Analytics - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1) Total course fee
Full Course fee $2,754.98 $2,754.98
Singapore Citizen Aged 40 & Above $220.73 $220.73
PR Sponsored by SME $230.18 $230.18
Singapore Citizen Sponsored by SME $230.18 $230.18
Singapore Citizen Aged Below 40 $335.18 $335.18
Long-Term Visit Pass Plus $2,754.98 $2,754.98
Singapore PR $2,754.98 $2,754.98

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).

Important note: All course fees are determined based on prevailing funding policies and subject to review and revision annually.

Nett Supplementary Fees Payable

  • GPA Insurance Fee S$2.11,subject to GST,fees payable S$2.30 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
  • Other Fees S$7.43,subject to GST,fees payable S$8.10 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)

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.

Remarks

Company Sponsorship

If your employer is sponsoring your course fee, please refer to this guide to link your company's Corppass to the STEP Corppass e-Service first. Your company will need to generate sponsorship link for you to register for the course.

For more details, please refer to the step-by-step guide to enrol, track and manage employee's learning activities and other services.