Turning numbers into business insight demands both design and data fluency. This course enables participants to use Power BI to create interactive, purpose-driven dashboards that support data-driven decision-making. They will build visual reports using hands-on guided labs.
Learning Outcomes:
Import, clean, and model data using Power BI tools
Design dashboards with visual clarity and interactivity
Apply DAX functions for calculations and measures
Share and collaborate on Power BI reports securely
Key Topics:
Power BI Desktop and service overview
Data transformation using Power Query
Data modelling and relationships
Visualisation types and formatting
DAX fundamentals and report publishing
FUNDING INFORMATION
SkillsFuture Singapore (SSG)
Funding is available on Course Fee. Please see below for the eligibility categories available.
| Self-sponsored | Singapore Citizen & PR aged ≥ 21 years | Up to 50% funding |
| Singapore Citizen aged ≥ 40 years | Up to 70% funding | |
| Company Sponsored (Non-SME) | Singapore Citizen & PR aged ≥ 21 years | Up to 50% funding |
| Singapore Citizen aged ≥ 40 years | Up to 70% funding | |
| Company Sponsored (SME) | Singapore Citizen & PR aged ≥ 21 years | Up to 70% funding |
| Singapore Citizen aged ≥ 40 years | Up to 70% funding |
SSG Funding Requirements
- Trainees must scan their attendance twice daily using the SingPass application.
- Trainees must attain at least 75% attendance.
- Trainees must pass the in-house assessment to be eligible for funding.
- Trainee and/or sponsoring company is/are required to meet all SSG-mandated eligibility criteria and requirements for funding. For more information, please refer to SkillsFuture homepage.
Appeal Policy and Procedure
- As a candidate in this course assessment, you may appeal your results if you disagree with them.
- To do so, submit your written appeal request via email to esv_comat_cse@stengg.com within 3 working days from date of assessment.
Cancellation, Postponement and Refund Policy
- Request for cancellation or postponement must be submitted in writing more than 4 weeks before the class start date to avoid any charges.
- Written notice for cancellation or postponement received 2 to 4 weeks before class start date will incur Late Cancellation Charge - 50% of course fee.
- Written notice for cancellation or postponement received less than 2 weeks before class start date will incur Late Cancellation Charge - 100% of course fee.
- If payment has been made and ST Engineering e-Services Pte Ltd accepts the trainee's written notification to cancel or withdraw from the course, ST Engineering e-Services Pte Ltd will issue a refund, less any applicable Late Cancellation Charges.
Feedback Policy and Procedure
- You may submit feedback via email to esv_comat_cse@stengg.com or your servicing Account Manager.
- Any formal feedback will be handled within 10 working days from receipt with a written reply given. An interim reply will be provided should more time be required.
Learning Unit 1. Introduction to Self-Service Solutions and Power BI
- Introduction to Self-Service Solutions and Power BI
- Introduction to business intelligence
- Types of BI
- Introduction to data analysis
- Introduction to data visualisation
- Overview of self-service BI
- Considerations of self-service BI
- Microsoft tools for self-service BI
- Hands-on Practical Exercise
Learning Unit 2. Import and Apply Data Transformation Techniques
- Power BI Desktop Overview
- Using Excel as a Power BI data source
- Using Databases as a Power BI data source
- Power BI Desktop Queries
- Data Processing and Transformation Overview
- Shaping Data
- Hands-on Practical Exercise
Learning Unit 3. Link Dataset and Application of DAX (Data Analysis Expression)
- Link Dataset and Application of DAX (Data Analysis Expression)
- Relationships
- DAX queries
- Set Calculations and measures
- Hands-on Practical Exercise
Learning Unit 4. Create Visualisations Dashboards
- Develop Interactive Data Visualisations
- Creating Power BI reports / Dashboard
- Using Custom Visuals
- Hands-on Practical Exercise
Class Timings
- Weekdays and weekends : 09:00AM - 05:30PM
- Evenings : 06:45PM - 10:30PM
