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SCTP Course

(SCTP) Python Programming

Course ScheduleDuration (days)Mode of DeliveryTGS Reference Number
7, 13 and 14 August 2026 | 9 am - 5.30 pm3Classroom LearningTGS-2024046835
This course is part of the (SCTP) NUS Data Intelligence and Business Analytics Programme. Applicants are required to register for all eight SCTP courses.

Course Overview

Python Programming teaches the fundamentals of Python. It introduces the highly popular programming language with simplicity but brings forth the power and clear syntax of Python. It teaches the core features of Python and participants will be able to create software applications using Python. Besides, it teaches the NumPy and pandas packages that prepare participants to produce Data Analytics software applications. Topics covered include:

  • The Python programming environment: Learn to install and use the Anaconda programming environment to get the best out of Python.
  • The Python variables and types: Learn the fundamental elements that define a programming language.
  • Data structures including list, tuple, set, dictionary and string: Learn the building blocks that make up a Python program.
  • Operators: Learn how to use the components in constructing statements to express yourself in Python.
  • Program flow controls: Learn how to provide dynamism in programming.
  • Functions: Learn how to express yourself more fluently with statements.
  • Inputs and outputs: Learn how to create interactivity in Python.
  • File handling: Learn how to read from and store data to secondary storage.
  • NumPy: Learn how to use the popular package for managing numbers.
  • Pandas: Learn how to use extended data structures, Series and DataFrame for efficient management of data variables.
  • Create data analytics software applications using the data structures and functions in Python.

Course Objectives

This course will equip learners with the following competencies:

  • Learn and apply data structures in Python
  • Learn and apply programming constructs in Python
  • Learn to create and use files and produce outputs in Python
  • Build a strong foundation in the fundamentals in Python programming
  • Learn and use libraries (e.g. NumPy and pandas) in Python API
  • Learn and apply Python programming language to create simple software applications

Job Role Readiness

Data Analysts and Business Analysts.

Prerequisites

At least a polytechnic diploma.

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Funding Available

  • SkillsFuture Funding
  • SkillsFuture Credit

    • Testimonials


    Great instructor and good course to take for beginners in programming.

    I was very impressed and happy with the course. Materials were very well done. The lecturer was very precise in his delivery.

    I recently completed the Python course and I am happy with the experience! The curriculum was comprehensive, the instructor was very knowledgeable, and the hands-on projects were engaging.

    Walk in with 0. Walked out a Python programmer.

    The course enabled me to learn the technicalities of Python and ensure that I am able to apply this knowledge in the working world.

    I enjoy my time learning Python Programming a lot.

    Instructors


    Ms Samantha Sow

    Ms Samantha Sow

    Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics. She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning. Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore. Her certifications include: Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.

    Course Fees


    Singapore Citizens Singapore PRs
    39 years old
    or younger    		 40 years old
    or older
    Full Course Fee S$2,550.00 S$2,550.00 S$2,550.00
    Less: SSG Grant Amount S$1,785.00 S$1,785.00 S$1,785.00
    Nett Course Fee S$765.00 S$765.00 S$765.00
    9% GST on Nett Course Fee S$68.85 S$68.85 S$68.85
    Total Nett Course Fee Payable, including GST S$833.85 S$833.85 S$833.85
    Less Additional Funding - S$510.00 -
    Total Nett Course Fee Payable, including GST, after additional funding from the various funding schemes S$833.85 S$323.85 S$833.85
    1. Total nett course fee payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
    4. Please refer to our Terms and Conditions page for more information.

    Other Information

    The SkillsFuture Career Transition Programme (SCTP) helps mid-career individuals build industry-relevant skills to boost employability and transition into new sectors or roles. Interested in learning more about the SCTP? Explore the FAQ to find answers to common questions, including programme details, eligibility criteria and funding.