Equinet Academy

WSQ Power BI Course

Transform Data into Clear, Actionable Insights

Course Description

This course equips learners with the foundational skills to transform data into actionable insights using Power BI. Through a combination of data literacy, visual best practices, and storytelling techniques, participants will learn how to spot misleading patterns, build clear and purposeful dashboards, and tailor reports for diverse stakeholders.

Designed for professionals who work with data but may not have formal analytics training, the course covers the end-to-end process of data preparation, visualisation, dashboard design, and communication of insights. Learners will engage in hands-on practice with Power BI, applying visualisation principles to build and evaluate dashboards that support business decisions.

Prerequisite

Participants should be comfortable using spreadsheet software (e.g. Excel or Google Sheets) and navigating digital interfaces. No coding is required. Familiarity with basic data reporting or business dashboards is helpful but not mandatory.

Target Audience

This course is suitable for working professionals, analysts, marketers, operations staff, and team leads who work with data reports and need to build dashboards or communicate data insights more effectively. It is especially relevant for individuals tasked with reporting, decision support, or stakeholder presentations.

Course Highlights

In this Power BI course, you will:

Identify and classify the different types of data and its structure.
Build impactful visuals and dashboards using Power BI
Communicate insights clearly with tailored annotations and summaries
Design stakeholder-specific dashboards with interactivity and navigation
Apply data storytelling frameworks for effective reporting and decisions

Course Objectives

By the end of this course, you will be able to:

Describe the fundamental concepts of data structures and outline the stages of analytics lifecycle
Build charts and dashboards in Power BI using appropriate visuals for different data types
Evaluate and redesign visuals for clarity, relevance, and audience fit
Design interactive dashboards with slicers, drill-throughs, bookmarks, and stakeholder-tailored views
Apply storytelling techniques to structure and communicate insights effectively

Certification

A SkillsFuture WSQ Statement of Attainment (SOA) – Data Visualisation and Storyboarding under the Skills Framework TSC and Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the Power BI course assessment and achieved at least 75% attendance.

*This course is accredited by SkillsFuture Singapore under the WSQ Skills Framework Data Visualisation and Storyboarding

Course Code: TGS-2025057948
Course Support Period: 14 Aug 2025 – 13 Aug 2027

Course Outline

Data Literacy & Overview of Data Analytics

Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Application, Class Activity)

Differentiate between types of data and its structure
Sequence and explain the stages of the analytics process
Evaluate the importance of data visualisations and illustrate their applications across different industries

Choosing and Improving Visuals

Instructor-Led | Mode of Delivery (Lecture & Illustration, Group Discussion, Practical Activity)

Evaluate chart types for fit, clarity, and potential for misinterpretation
Select appropriate visuals based on data types and decision contexts
Identify and correct confusing or misused visuals
Tailor report formats, KPIs, and insight phrasing for different audiences (e.g. executive vs operational)

Power BI Basics and Visual Design

Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Application, Class Activity)

Navigate the Power BI interface and create basic report layouts
Build foundational visuals such as bar, line, and combo charts
Identify trends and correlations using time-based and paired datasets
Annotate charts with labels, callouts, and takeaways to highlight insights
Combine visuals and summaries using headline-style framing for clear communication

Dashboard Design and Formatting

Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Application)

Understand dashboard components such as KPIs, filters, and layout zones
Apply layout and formatting techniques to improve clarity and navigation
Use color, tooltips, and groupings to create accessible and readable dashboards

Interactivity and Navigation in Dashboards

Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Application, Class Activity)

Build scorecards with KPI to measure key company metrics
Use slicers, drill-through features, and navigation buttons
Differentiate dashboards for strategic (executive) vs operational (functional) audiences

Communicating Insights through Data Storytelling

Instructor-Led | Mode of Delivery (Lecture & Illustration, Group Discussion, Practical Activity)

Apply data storytelling frameworks (e.g. setup → insight → action)
Choose visuals that reinforce narrative clarity
Annotate visuals with context-rich commentary and business relevance
Tailor summaries and report flow for different stakeholder needs

Trainers

Clarence Tan

10+ Years of Experience in Data Analytics Across Industries
ACLP-Certified Trainer
Senior Data Analyst - APAC Lead

Course Fees & Fundings

Course Fee:
S$990.00 (inclusive of 9% GST)

Course Fee After Eligible SSG Subsidies:
From S$297.00 (inclusive of 9% GST) after SSG Subsidies

Self-Sponsored Individuals

SkillsFuture Mid-Career Enhanced Subsidy (MCES)

Eligible for Singapore Citizens, aged 40 years old and above

Nett course fee payable (including 9% GST): S$297.00

Course fees after subsidies can be further offset by SkillsFuture Credit.

SkillsFuture Baseline Funding

Eligible for 21 years old and above, and a

Singaporean Citizen; or
Permanent Resident; or
Long Term Visitor Pass Plus (LTVP+) Holder

Nett course fee payable (including 9% GST): S$495.00

Course fees can be further offset by SkillsFuture Credit for Singapore Citizens aged 25 and above. Singapore Citizens aged 21 to 31 may also offset fees with the Post Secondary Education Account Funds.

Company-Sponsored (SMEs)

SkillsFuture Enhanced Training Support for SMEs (ETSS)

Eligible for SME Company-Sponsored, 21 years old and above, and a

Singapore Citizen; or
Permanent Resident; or
Long-Term Visitor Pass Plus (LTVP+) Holder

Nett course fee payable (including 9% GST): S$297.00

Course fees after subsidies can be further offset by Skillsfuture Enterprise Credit (SFEC)

Company-Sponsored (Non-SMEs)

SkillsFuture Baseline Funding

Eligible Non-SME Company-Sponsored, 21 years old and above, and a

Singaporean Citizen; or
Permanent Resident; or
Long Term Visitor Pass Plus (LTVP+) Holder

Nett course fee payable (including 9% GST): S$495.00

Course fees after subsidies can be further offset by Skillsfuture Enterprise Credit (SFEC)

SkillsFuture Mid-Career Enhanced Subsidy (MCES)

Eligible for Non-SME Company-Sponsored, Singapore Citizens, aged 40 years old and above

Nett course fee payable (including 9% GST): S$297.00

Course fees after subsidies can be further offset by Skillsfuture Enterprise Credit (SFEC)

Check your eligible grant amount and nett payable course fees when you apply now.

Frequently Asked Questions (FAQs)

Who is this course for?

This course is suitable for professionals, analysts, marketers, operations staff, and team leads who work with data reports and dashboards and need to communicate insights effectively.

Is this course suitable for beginners?

Yes. The course is designed for those who may not have formal analytics training but want to build practical dashboarding and data storytelling skills using Power BI.

What software will be provided during the course?

Participants will be guided through using Power BI Desktop and related tools, with all necessary datasets and templates provided for exercises.

Will I build real dashboards in this course?

Yes. Participants will work on hands-on projects to create and refine interactive dashboards based on real-world data scenarios.

How interactive is the course?

The course features live demonstrations, practical exercises, and group discussions to ensure learners can immediately apply what they learn.

Do I need prior experience with Power BI?

No prior Power BI experience is required. Familiarity with spreadsheets (Excel or Google Sheets) is helpful but not mandatory.