Data Champions Bootcamp

Overview

Overview

Duration 12.5 days
Course Time
Enquiry Click here to contact us
This course is delivered by GovTech.

Have you always wanted to level up your data science skills beyond the basics but are overwhelmed by the myriad offerings out there? This Data Champion Bootcamp programme may be the solution for you!

Immerse yourself in practical training sessions specially curated and contextualised for the public service that will guide you towards becoming a power-user (intermediate-tier). Test your knowledge and maintain good momentum with weekly targets and capstone assignments, along with the support of fellow public service officers. Through this 6-month programme, you can expect to acquire data wrangling, machine learning and visual analytics skills to transform you into a Data Champion!

For more information, visit Workplace or WOG intranet.


Key Takeaways

Key Takeaways

At the end of this course, the participants will be able to:

  • Use scripting to run/automate, a) powerful data processing, b) Data retrieval (include API calling), c) Data cleaning and processing, d) Explorative Data Analysis
  • Build charts and dashboards in Tableau/Qlik Sense/PowerBI
  • Apply best practices and principles of visualisation / storytelling
  • Apply the common ML techniques, a) Supervised Learning (e.g. regression methods), b) Unsupervised Learning (e.g. clustering methods), c) Natural Language Processing

Who Should Attend

Who Should Attend

This course is suitable for WoG General Public Officers.

ICT and SS Competency Framework

ICT and SS Competency Framework

As part of the ICTCF, this course falls under the Data Science and Artificial Intelligence functional cluster and tagged to the following competencies:

  • Data Collection
  • Data Quality
  • Exploration Analysis
  • Statistical Techniques
  • Machine Learning
  • Visual Analytics Principles
  • Charts & Dashboards
  • Data Storytelling
  • Scripting
The course is mapped to the following job roles:

  • WOG GPO



    Course Structure

    Course Structure

    This course is delivered via Blended Learning.

    Instructors

    Instructors


    Fees

    Fees

    Complimentary

    Upcoming Classes

    Upcoming Classes

    Class 1

    Duration: 12.5 days

    31 Mar 2023 to 30 Nov 2023 (Full Time)

    When :
    Time : 09:00am to 05:00pm
    Registration:

    How To Register

    How To Register

    Registration closes on 24 March 2023. Sign up today!