Fundamentals in Python (Basic)

Part of the ModularMaster in Data Science programme

Python is an interpreted high-level programming language for general-purpose programming. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasises code readability, and a syntax that allows programmers to express concepts in fewer lines of code, notably using significant whitespace. It provides constructs that enable clear programming on both small and large scales.

A firm grasp of Python will be useful for individuals who want to advance into the fields of Data Science and/or Artificial Intelligence, giving them an edge when they do take up such courses in the future.

You will be equipped with the basic skillset in programming to progress on to the intermediate level.
 
This course is designed to introduce the general concepts of programming to anyone, regardless of their computing or math background.

By the end of this course, participants will be able to leverage programming to customise tasks or break down large tasks into granular tasks or aggregate various steps into a single step effectively.


Plan your learning path

This course can be taken as a module on its own or as part of the Graduate Certificate in Python Programming stack and participants will earn 12 subject credits which can also be used towards completing the ModularMaster in Data Science.


Course Details

Course Dates:
New intake coming soon.

 

 

Who Should Attend

Working professionals who are not in the fields of programming or data science/artificial intelligence and are interested to advance into the fields.

Employed persons who have been newly appointed to programming/data science/artificial intelligence roles or supporting roles (E.g. Systems analyst, applications developer, platform engineer, UI/UX designer, IT consulting analyst, quality analyst, IT auditor, system administrator, cloud engineer, etc)*
*Roles specified are referenced from SSG's Skills Framework for Infocomm Technology.

Prerequisites

  • Participants should preferably have passed mathematics at least ‘O’ Level or equivalent.
  • Participants should be conversant with basic IT skills such as software installation, file management and web navigation.
  • Participants are required to bring their laptops.

Programme Outline

Learning Objectives
  1. Understand the basics of Object Oriented Programming

  2. Recognise the various types of characters and/or data types

  3. Create a variable with correctly assigned data types

  4. Ability to customise your own function

  5. Ability to handle string, special characters, data structures, file handling, control flow and debugging

  6. Create a simple application

Day 1 - 2
  • Overview of Data Science
  • Intro to Python
  • Python in Data Science
  • Basics of Object-Oriented Programming (OOP)
  • Data Types, Variables, Classes
  • Functions
Day 3 - 4
  • String, Special Characters, Date, Regex Handling
  • Data Structures 
  • File Handling
  • Control Flow
  • Debugging
  • Advanced OOP Specific or Programming Specifics
Day 5
  • Project Presentation for Creation of Simple Application or Automation Task
Assessment

Participants will be assessed via group-based project presentation on the 5th session of the course. There will also be formative assessment and case studies to assess a participant's understanding and competency.

Subject Credits

Upon completion and satisfying the requirements of passing this course, learners will be awarded 12 subject credits.

Course Fees and Funding

Full course fee inclusive of prevailing GST

You pay
S$4,815.00

SkillsFuture Course Fee subsidy (70%)

  • For Singapore Citizens < 40 years old 
  • For Permanent Residents

You pay
S$1,444.50

Mid-Career Enhanced Subsidy (90%)

  • For Singapore Citizens ≥ 40 years old

You pay
S$544.50

Enhanced Training Support for SMEs (90%)

  • For SME - Sponsored employees

You pay
S$544.50

The above module fee payable is inclusive of GST. 1% GST increase in 2023 is absorbed by SUTD.

Instructor

Dr Oka Kurniawan is a Senior Lecturer of Information Systems Technology and Design at SUTD.

He graduated from NTU with a PhD in Engineering. He has been teaching computing for the past seven years and was entrusted as the subject lead for the largest introductory programming course in SUTD. He implemented Internet-of-Things projects as part of the assessment, and recently introduced machine learning into the course.

Read more.


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  1. If a written notification is sent to sutd_academy@sutd.edu.sg within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made. 

  2. No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

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Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to sutd_academy@sutd.edu.sg. Terms and conditions apply.

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Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

  1. MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.

  2. Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

    For more info, please visit SkillsFuture website at https://www.skillsfuture.gov.sg/enhancedsubsidy

Funding under Enhanced Training Support for SMEs ("ETSS")

  1. ETSS is an enhanced funding to enable SMEs to send their employees for training.

  2. SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.

  3. In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.

  4. To qualify, SMEs must meet all of the following criteria:
    - Organisation must be registered or incorporated in Singapore
    - Employment size of not more than 200 or with annual sales turnover of not more than $100 million
    - Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
    - Trainees must be Singapore Citizens or Singapore Permanent Residents

    For more info, please visit SSG website at https://www.ssg.gov.sg/programmes-and-initiatives/funding/enhanced-training-support-for-smes1.html


Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

For more info, please visit https://e2i.com.sg/individuals/ntuc-education-and-training-fund/.