Fundamentals in Python (Intermediate)

Part of the ModularMaster in Data Science programme

Your first step to Python

Computational thinking is a necessary skill for 21st century work force. One way to sharpen this computational thinking is by learning how to program.

The course will provide an overview of computational thinking and programming using Python 3. Participants will learn through hands-on practice, how to solve problems using PCDIT framework, write idiomatic Python codes, and test their implementation.

This course will also focus on the applications of Python to real-world applications in Data Science.


Course Details

Course Dates: 
Currently not available.


Duration: 
5 days, 9:00am - 5:00pm
 
 

Who Should Attend

This course is suitable for those who have technical or engineering background and participants should be familiar with some form of programming and a basic foundation of computer science.

It is ideal for those who wish to learn Python and its best practices in their work and be able to solve day-to-day problems through automation by writing a Python code.

This course ends with a topic on basics of data science using Python and, hence, a good introduction to data science for beginners.

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 complete the Fundamentals in Python (Basic) before enrolling in this course.
  • Participants are required to bring their laptops.

Programme Outline

Learning Objectives

By the end of this course, participants should be able to:

  • Understand computational thinking and programming with Python

  • Apply problem solving with PCDIT framework

  • Write idiomatic Python codes

  • Test the implementation of idiomatic Python codes

Day 1
  • Introduction to Computational Thinking and Python
  • First Abstraction: Functions
  • Structure: Conditionals and Loops
  • Problem Solving Framework PCDIT
Day 2
  • Object-Oriented
  • Inheritance and Polymorphism
  • Algorithms
  • Recursion
Day 3
  • Python's Data Structures
  • Trees I
  • Trees II
  • Graphs I
Day 4
  • Graphs II
  • Exception Handling
  • File I/O
  • Review
Day 5
  • Final Project Presentation
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$4,905.00

SkillsFuture Course Fee subsidy (70%)

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

You pay
S$1,471.50

Mid-Career Enhanced Subsidy (90%)

  • For Singapore Citizens ≥ 40 years old

You pay
S$571.50

Enhanced Training Support for SMEs (90%)

  • For SME - Sponsored employees

You pay
S$571.50

The above module fee payable is inclusive of 9% GST.

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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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.

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

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  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:
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    - Employment size of not more than 200 or with annual sales turnover of not more than $100 million
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    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).

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This is part of the Government’s efforts to encourage every Singaporean to complete their post-secondary education. It also underscores the Government’s commitment to support families in investing in the future education of their children and to prepare them for the economy of the future. PSEA is not a bank account.

It is administered by the Ministry of Education (MOE) and is opened automatically for all eligible Singaporeans.

Account holders can use their PSEA funds to pay for their own or their siblings’ approved fees and charges for approved programs conducted by approved institutions.

However, you will have to check your eligibility and balance by contacting MOE first.

Contact MOE at (65) 6260 0777

E-mail to MOE at contact@moe.edu.sg

Click here for MOE website.