Overview
| Duration |
12.5 days |
| Course Time |
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| Enquiry |
Click here to contact us
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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
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
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:
Course Structure
This course is delivered via Blended Learning.
Instructors
Fees
Complimentary
Upcoming Classes
Class 1
Duration: 12.5 days
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31 Mar 2023 to 30 Nov 2023 (Full Time)
When :
Time : 09:00am to 05:00pm
Registration:
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How To Register
Registration closes on 24 March 2023. Sign up today!