Overview

From Python to Machine Learning, our 24-week (Part Time) Applied Data Science with Machine Learning Programme gives you the breadth and depth needed to become a well-rounded Junior Data Scientist/Data Analyst.

Applied Data Science with Machine Learning Programme offers students the opportunity to advance their careers and gain skills for the new digital economy. Students will learn how to use the right software and techniques to read visual and statistical data and present it in a way that solves real world problems. Students will learn the Fundamentals of Python Programming Language, Machine Learning, and start using data science libraries such as NumPy, Pandas etc. The course emphasises collaboration, experiential learning and team building to solve data-driven challenges.

Learning Outcome

  • To extract, transform and load data and use visualisation techniques to derive actionable insights to positively influence a desirable outcome
  • To utilise statistical methods in the data driven decision making process
  • To use statistical methods to develop and maintain predictive models
  • To process large amounts of data using big data technologies
  • To leverage BI tools to develop business data processing and visualisation pipelines
  • To create predictive models using AI and Machine Learning techniques

Who should Attend?

Singaporeans who are:

  • Mid-career switchers
  • IT professionals interested to up-skill themselves in preparation for new tech positions
  • Individuals with a passion to join or build a tech start-up

Eligibility Criteria

Academic Qualification for Applied Data Science with Machine Learning Programme:

  • Obtained C6 in any of 3 GCE ‘O’ Level subjects or Certificate Level
  • NITEC related to Arts
  • Grade E in any one GCE A Level subject
This course is supported under Tech Immersion and Placement Programme (TIPP)
Singapore Citizens qualified for this immersive training courses and placement programme, will be eligible for a subsidised course / programme fee.


Information is accurate as of 14 April 2020.