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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 emphasizes 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 on Programming to customise task or break down large task into granular task or aggregate various step into a single step effectively.

Plan your learning path
Participants earn 4 subject credits which can be used to attain the ModularMaster in Data Science.

Course Details

Course Dates:

July 2020 Intake

Online Delivery

  • Class: July (10, 17, 24) and August (7)
  • Consultation: August (14)
  • Project Presentation: August (21)

Classes delivered from 9am-12.30pm daily online.

Sign up now

Sign up before 20 June 2020.

Past Intakes
• Intake 2: 10 - 12 Jun 2019
• Intake 1: 10 - 12 Apr 2019

• 3 days (In-class) or
• 6 half-days (Online)


Who Should Attend

Working professionals who are not in the field 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 for Participants
Learners need to possess basic computer literacy.

Programme Outline

Learning Objectives
  1. Understand the basics of Object Oriented Programming
  2. Recognize the various types of characters and/or data types
  3. Create a variable with correctly assigned data types
  4. Ability to customize 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
  • Overview of Data Science
  • Intro to Python
  • Python in Data Science
  • Basics of Object-Oriented Programming (OOP)
  • Data Types, Variables, Classes
  • Functions
Day 2
  • String, Special Characters, Date, Regex handling
  • Data Structures 
  • File handling
  • Control Flow
  • Debugging
  • Advanced OOP Specific or Programming Specifics
Day 3
  • Project Presentation for Creation of Simple Application or Automation Task

Class participation, in-class quiz, project and presentation to evaluate course understanding and augment learning outcomes.

ModularMaster in Data Science

Two Tracks
We have designed two tracks to suit participants with different learning preferences. Participants who prefer to make use of programming can go for the modules under the Programming Track while participants who prefer to make use of readily available tools can embark on modules under the Non-Programming Track.

Course Fees and Funding

SkillsFuture Course Fee Subsidy

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Mid-career Enhanced Subsidy (MCES) (90%)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Enhanced Training Support for SMEs (ETSS) (90%)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Workfare Training Support (WTS)

Fee after subsidy

GST on Fee after SSG Course Fee Subsidy

You pay

Full Course Fee (without subsidies): $2,889 (inclusive of prevailing GST)


Johnson Ang
Instructor, SUTD Academy

Johnson Ang has a Masters in IT Analytics from SMU and is certified and a member of CQF, ACTA and CEH. He previously work as a Data Scientist with MND and was an ex-affiliate University lecturer for Cardiff Metropolitan UK University and ex-lecturer with EASB in 2018 and was also Corporate and Open-Run trainer for 2 years.

His experience spans more than 10 years of working experience, of which 4 years of experience in the Banking Wide Operations and has been particularly involved in IT Analytics banking projects within the Risk Management and Financial Instrument sphere, and 4 years in the Real Estate, FMCG, Construction and Education Sector. He is familiar with typical banking software and acquainted with popular tools such as SAS, JMP, Oracle, VBA, Access, Python, R, Tableau, Weka, C and Java. He also has working knowledge in the area of Data Science; Analytics, Machine Learning and Deep Learning.


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SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

  1. Reporting of national statistics and conducting of holistic continuing education training research and analysis;

  2. Facilitate the conduct of the relevant surveys and audits in relation to the Course;

  3. General administration of the Course including but not limited to processing of the subsidy provided by SSG;

  4. Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and

  5. SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.

I agree to:

  1. Attend and complete all lectures, class exercises, workshops and assessments;

  2. Complete the Course feedback at the end of the Course;

  3. Complete the post Course survey sent about 3 to 6 months after class attendance; and

  4. Sign up for a personal email account.

SUTD Privacy Statement

For more information on SUTD's privacy statement, please visit

SUTD Terms and Conditions

Methods of Payment

Learn more about the available payment modes.

Cancellation & Refund Policy

  1. If a written notification is sent to 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.

Replacement Policy

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

Registration Policy

  1. Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.

  2. Course enrolment is based on a first-come, first-served basis.

  3. SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances. 

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

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
    - At least 30% local shareholding by Singapore Citizens or Singapore Permanent Residents
    - Employment size of not more than 200 (at group level) or with annual sales turnover (at group level) 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

Funding under Workfare Training Support ("WTS")

To qualify, individuals must meet the following criteria:

  1. Be a Singapore Citizen; and

  2. Aged 35 years and above (13 years and above for Persons With Disabilities); and

  3. Earn a monthly income of not more than $2,000.

  4. Training allowance is only available for individuals who pay for their own training.

  5. Individuals can apply at any of WSG's Careers Connect or NTUC's e2i centres up to 30 days (including weekends and public holidays) before or after the start of the course.

    For more info, please visit WSG website at

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