Data Champions Bootcamp (Online)

Please refer to DC Bootcamp FAQs here
Enquiry
Programme Code D212A
Domain
Data Engineering
Artificial Intelligence
Level
Foundation
Learning Partner(s)
Singapore Polytechnic
Duration
12.5 Days
Format Online
Rating
Competencies
Statistical Techniques Scripting Machine Learning Exploration Analysis Data Storytelling Data Quality Data Collection Charts & Dashboards
Job Roles
ICT&SS Professional

Overview

Learn Python programming and apply it to data wrangling and machine learning. In the modern digital world, organisational decisions are increasingly data-driven.  Decision makers are turning to data analysts who possess skills in data wrangling, machine learning, data visualisation and storytelling to make sense of the avalanche of data collected during their operations. Public Service Officers who aspire to fill such coveted analyst roles can embark on their online learning journey with this programme.

Coupled with skills in data visualisation and storytelling, you can derive and communicate data insights that may result in decisions leading to higher operational efficiencies or transformational changes. You also have the flexibility to choose your preferred visualisation tool, whether it's Power BI or Tableau, to best suit your needs. 

Key Takeaways

At the end of this programme, you will be able to:
  • Demonstrate the use of the Python programming language by developing basic Python programs
  • Develop programs for data wrangling using Python programming language
  • Describe the basics of machine learning
  • Apply techniques of supervised and unsupervised learning
  • Explain the principles of data visualisation
  • Apply data visualisation principles in the design and creation of dashboards
  • Compose a story to illustrate trends by using interactive dashboards

Who Should Attend

Please refer to the job roles section.

Prerequisites

  • Basic English proficiency.
  • Good understanding of computers and data.

What To Bring

Hardware

You MUST have a personal or work laptop/desktop with full administrative rights and unrestricted access to the Internet.  This is because participants are required to (a) install software and (b) upload files to SP’s PoliteMall.  Without such a device, the participant will not be able to submit the required tasks and meet the requirements for course completion.

iPads and tablets can be used for viewing the e-learning contents, but they are NOT able to replace the laptop/desktop for the mandatory hands-on tasks.  Visualization software can only be installed on Windows or MacOS.  (Tableau Public can be accessed from both Windows and MacOS but Microsoft’s PowerBI can be installed only on Windows.)

GSIB laptops are strongly NOT recommended as such laptops are not able to facilitate file uploads and installation of additional software by the users themselves.

Software

a. Access to Udemy

The participants MUST ensure they have access to Udemy contents.  Most, but not all public officers, have access to Udemy through CSC Learn App.

(Note: MOE participants may need to approach your HR/IT department to purchase Udemy licenses before the start of the course.)

b. Software Licenses

This programme can be completed using open-source software (e.g. Colab, Python Pandas for Sections 1 to 3) and free license (PowerBI/Tableau for Section 4).  No paid license is required.

Programme Structure

This programme will cover the following topics:

  • Python Foundations Cloud Data Security
  • Data Wrangling with Python Cloud Application Security
  • Applied Machine Learning
  • Data Visualisation & Storytelling (Choose your preferred data visualisation tool – Tableau / Power BI)


Sections Week Start of E-Learning

Optional Seminar (See Note below)

Remarks

Python Foundations

1 Monday, 13 April 2026Friday, 17 April 2026  
2Monday, 20 April 2026Friday, 24 April 2026Skip week of 27 April 2026 as 1 May 2026 is Labour Day (Public Holiday).
3 BreakBreak
4 Monday, 4 May 2026Friday, 8 May 2026 
5 Monday, 11 May 2026Friday, 15 May 2026Due Date of Section 1 Weekly Task, Capstone Assignment and Quiz: 5 June 2026
6 Capstone Assignment and Quiz (No online seminar)

Data Wrangling with Python

1 BreakBreakSkip week of 25 May 2026 for Hari Raya Haji (Public Holiday).
2Monday, 1 June 2026Friday, 5 June 2026 
3Monday, 8 June 2026Friday, 12 June 2026 
4 Monday, 15 June 2026Friday, 19 June 2026
5 Monday, 22 June 2026Friday, 26 June 2026Due Date of Section 2 Weekly Task, Capstone Assignment and Quiz: 17 Jul 2026
6 Capstone Assignment and Quiz (No online seminar)

Applied Machine Learning

1 Monday, 6 July 2026Friday, 10 July 2026 
2 Monday, 13 July 2026Friday, 17 July 2026 
3 Monday,20 July 2026Friday, 24 July 2026 
4 Monday, 27 July 2026Friday, 31 July 2026Due Date of Section 3 Weekly Task, Capstone Assignment and Quiz: 21 Aug 2026
5 Capstone Assignment and Quiz (No online seminar)
6 Break

Data Visualisation & Storytelling

1 Monday, 17 August 2026Friday, 21 August 2026 
2 Monday, 24 August 2026Friday, 28 August 2026 
3 Monday, 31 August 2026Friday, 4 September 2026 
4 Monday, 7 September 2026Friday, 11 September 2026Due Date of Section 4 Weekly Task, Capstone Assignment and Quiz: 2 Oct 2026
5 Capstone Assignment and Quiz (No online seminar)
End of Course

NOTE

  1. For registration, participants will need to approach their HR department who will register them for the course using the organisation's CorpPass.
  2. In STEP, the start date and end date of the course are 13 April 2026 and 31 October 2025 respectively. Participants will attend the course based on the dates in the table above and the last online seminar will be on 11 September 2026.  The extended end date of the course provides participants with access to PoliteMall materials until 31 October 2026 and allows the trainers to have sufficient time to mark and grade the assessments.
  3. The closing date is 23 March 2026. It is a moving date as the registration will close earlier if the capacity has been reached.  You can sign up for either Class #1 or Class #2.
  • Class #1 (PowerBI): Optional seminar (recorded) on Friday 9 am to 11 am
  • Class #2 (Tableau): Optional seminar (recorded) on Friday 11 am to 1 pm

Full Fee

Full programme fee

S$470

9% GST on nett programme fee

S$42.30

Total nett programme fee payable, including GSTS$512.30


Please visit the Learning Partner's website for more information.

For any programme enquiries, please write to pace@sp.edu.sg.


Agency-sponsored

Step 1 Apply through your organisation's training request system.

Step 2

Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.

Organisation HR L&D or or equivalent staff can register directly through the Learning Partner's registration portal.

Please ensure that you register under the class which covers your selected visualisation tool (Power BI or Tableau).  You are not allowed to transfer classes once the programme is confirmed.

The HR L&D will register the course on behalf of the participant using the organisations' CorpPass.

Please refer to STEP course registration guide here. Alternatively, please contact pace@sp.edu.sg.


Step 3 The Learning Partner will inform you whether you have been successful in enrolment.