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Data Visualization Techniques using Power BI
18 May 2026
17 May 2028
Course Overview
Organisations now have access to many sources of digital data. Organisations must cultivate staff with the necessary skills to be able to analyse these data and apply contemporary techniques to create dynamic and interactive visual displays in order to better illustrate and articulate to business stakeholders.
This course sets out the skills and abilities for learners to master the features and functions of Microsoft Power BI. Learners will be able to understand key concepts and techniques on creating data visualization, create visuals, understand data relationships and generate data for forecasting and trends.
Skills Acquired
- Select the appropriate visualisation techniques to convey findings with usage of interactive visual display
- Present different data types to reflect business trends using visualization techniques to show correlations between data sets
- Incorporate suitable chart elements to create informative and interactive data displays
- Develop basic dashboards KPI scorecards to display benchmark and results achieved
- Incorporate interactive graphical visuals dashboard presentations
- Communicate the limitations of data in dashboard with visualisation to show business insights
Learning Modules
Learning Unit 1: What Is Data Visualization?
- What is Data Visualization?
- Purpose of Data Visualization
- Understanding the types of visualization available for various purpose
- Understanding interactivity between data visualization
Learning Unit 2: Navigating through Power BI Desktop and Data Models
- Understanding the different views in Power BI Desktop
- Understanding the use of data formats and types
- Getting Various Data Type into Power BI Desktop
- Data Transformation in Power Query
- Creating Basic Visualization
- Creating Relationships between Tables
Learning Unit 3: Setup and Data Visualization Techniques with Visual Filters and Power Query
- Setting up page size and tool tips to support data visualization
- Using Visual Filters on Single Visual, Visuals on Page and Visuals all Page
- Applying advance slicer techniques
- What is a calculated column?
- What is a measure
Learning Unit 4: Creating Scorecards, KPIs and Gauge Charts and DAX Formulas
- Create DAX Formulas
- Using scorecards
- Using KPIs
- Using Gauge Charts
Learning Unit 5 Publishing Dashboards on Analysis Services
- What is Power BI Analysis Services?
- Using the Publish feature
- Creating reports on Workplace
- Creating Dashboards
Learning Unit 6: Techniques to Provide Context and Details to Data and Using Predictive Analytic
- Predictive Analysis
- Using Tooltips
- Creating Drillthroughs
Who is this course for
Academic prerequisites
- Learners must be able to read, write, speak and listen English at Secondary level.
- Learner should have at least 1 year’s working experience in any industry.
- Learners must have basic knowledge on Power BI.
Course Fees
| Fees | Small Medium Enterprises (SMEs) | Non Small Medium Enterprises | Singaporean Employees aged 40 years and above |
|---|---|---|---|
| Full Fee | $650.00 | $650.00 | $650.00 |
| 9% GST (on full course fee) | $58.50 | $58.50 | $58.50 |
| Funding Amount | $455.00 (70% off course fee) | $325.00 (50% off course fee) | $455.00 (70% off course fee) |
| Nett Fee Payable (incl. GST) | $253.50 | $383.50 | $253.50 |
- SME: Company registered or incorporated in Singapore AND employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Non-SME (MCES): Employee is Singaporean aged 40 years and above
Non-SME: 50% of course fee
Non-SME(MCES): 70% of course fee
- Eligible for Absentee Payroll Funding
- Eligible for SkillsFuture Enterprise Credit (SFEC)
| Fees | Singapore Citizens (40 years and above) | Singapore Citizens (21 to 39 years old) & Permanent Residents (21 years old and above) |
|---|---|---|
| Full Fee | $650.00 | $650.00 |
| 9% GST (on full course fee) | $58.50 | $58.50 |
| Funding Amount | $455.00 (70% off course fee) | $325.00 (50% off course fee) |
| Nett Fee Payable (incl. GST) | $253.50 | $383.50 |
- MCES: Singaporean aged 40 years and above
- Normal: Singaporean / PR aged 21 years and above
Normal: 50% of course fee
- Eligible for UTAP funding
- Eligible for SkillsFuture Credit
- Eligible for PSEA Funds
Data Visualization Techniques using Power BI
Course Highlight
Course Duration
16 HRS
Training Time
9am-6pm
Mode of Training
Classroom
Course Reference Number
TGS-2026063807









