Programme Outcomes
Skills That Give You an Edge
Analytical Thinking
Frame business questions and evaluate evidence.
Insight Generation
Turn data into meaningful business intelligence.
AI-Enabled Analytics
Apply AI tools to accelerate analysis and discovery.
Dashboarding and Visualisation
Present information clearly through dashboards.
Executive Communication
Communicate findings with clarity and confidence.
Strategic Decision Support
Translate analysis into actionable recommendations.
Programme Highlights
What You’ll Learn
Across three modules, you will build a complete AI-powered content creation and strategy capability:
- Business problem framing and structured analytical questions
- Organisational benefits of business insights and intelligence
- Core statistical and data modelling concepts in business contexts
- Dataset exploration using visual and analytical methods
- Pattern identification and interpretation
- Business implications of data patterns
- Data mining and modelling tools for structured insight generation
- Advanced hypothesis design for complex business problems
- Applied modelling tool selection based on data and objectives
- Analytics initiative prioritisation and resource trade-off analysis
- Analytics project governance, milestone planning, and stakeholder reporting
- Advanced data mining methods such as clustering, classification, and time series
- Predictive modelling using regression variants, decision trees, and ensemble methods
- Complex multi-source dataset analysis and feature selection
- Model validation, output interpretation, and business recommendation development
- Data literacy and the analytics lifecycle
- Choosing and improving visuals for clarity and audience fit
- Power BI report layouts and foundational visualisations
- Chart selection for different data types and decision contexts
- Dashboard design, formatting, KPIs, filters, and layout zones
- Interactive features such as slicers, drill-throughs, bookmarks, and navigation buttons
- Stakeholder-specific dashboards for executive and operational audiences
- Data storytelling frameworks, annotations, summaries, and insight communication
- Narrative structures for data communication
- Storyboarding data presentations from hypothesis to recommendation
- Strategic visual sequencing to guide audience interpretation
- The data-visual-narrative triangle for clearer communication
- Audience context and stakeholder expectation mapping
- Executive summary design and recommendation framing
- Visual and editorial judgement for critical trends
- AI-assisted communication preparation for stakeholder-ready analysis
Trainers
Meet Your Educators
Target Audience
Who Should Attend
This programme is designed for professionals who want to analyse data more confidently, apply AI to business analytics, build clearer dashboards, and communicate insights to stakeholders.
It is suitable for:
- Working Professionals
- Aspiring Data Analysts
- Business Analysts
- Marketing Professionals
- Operations Professionals
- Team Leads and Managers
- Reporting Professionals
- Dashboard Users and Creators
- Decision Support Teams
- Professionals Presenting Data to Stakeholders
Differentiators
What Makes This Programme Different
Most data analytics courses teach learners how to use tools or create dashboards. The Certified AI-Enabled Data Analyst 2.0 programme builds the full data-to-decision capability: analytical thinking, AI-enabled analysis, dashboard creation, and executive communication.
Get Certified
Certification Pathway
To attain the Certified AI-Enabled Data Analyst 2.0 certification by Equinet Academy, complete the following modules:
- Module 1: Data Analytics and Data Literacy Essentials (1 day, 8 hours)
- Module 2: AI in Data and Business Analytics (2 days, 16 hours)
- Module 3: Power BI (2 days, 16 hours)
- Module 4: Data Storytelling and Executive Communication (1 day, 8 hours)
- Pass all module assessments across all four courses
Each module can also be taken as a standalone course. Learners who have already completed one or more modules as standalone courses may count those toward the Certified AI-Enabled Data Analyst 2.0 certification by completing the remaining modules.
Candidates who complete each module with at least 75% attendance and demonstrate competency in all assessments will receive the corresponding award for that module. Candidates who complete all four modules will receive the Certified AI-Enabled Data Analyst 2.0 certificate from Equinet Academy.
Fees Breakdown
Programme Fees
| Module | Full Fee | After Bundle Discount | After Max Modular Funding |
|---|---|---|---|
| M1: Data Analytics and Data Literacy Essentials | S$239.20 | S$239.20 | |
| M2: AI in Data & Business Analytics | S$799.20 | S$239.76 | |
| M3: WSQ Power BI | S$792.00 | S$237.60 | |
| M4: Data Storytelling & Executive Communication | S$399.20 | S$399.20 | |
| Full Certified AI-Enabled Data Analyst 2.0 ProgrammeAfter Max Modular Funding | Total Nett Fee: | From S$1,115.76 excl. GST(GST Absorbed) | |
*Funding eligibility varies by module. Select modules currently qualify for SkillsFuture Credit and SSG subsidies when taken individually. Speak to a course consultant to confirm eligibility for specific modules and to understand the right enrolment path for your situation.
Course Schedule
Mark Your Calendar!
Total modules: 4 modules
| Course Dates | Trainer |
|---|---|
|
01 Sep 2026 to 07 Oct 2026 9.00am - 6.00pm · In-Person
|
Multiple TrainersApply Now
|
|
24 Nov 2026 to 15 Dec 2026 9.00am - 6.00pm · In-Person
|
Multiple TrainersApply Now
|
Frequently Asked Questions
The Need to Know
Everything you need to know about the programme. Can’t find the answer you’re looking for? Please contact our friendly team.
Yes. We recommend taking the modules in sequence because each one builds on the previous one:
Understand Data → Analyse with AI → Build Dashboards → Influence Decisions
Yes. The programme starts with data literacy and analytical thinking fundamentals before progressing into AI-enabled analytics, dashboarding, and executive communication. No prior analytics training is required.
No. The programme is designed for business professionals and aspiring analysts who want to work with data more effectively without programming. Concepts are taught in a practical and business-focused manner, and AI-powered tools help simplify many analytical tasks.
You will be able to frame business problems, analyse data, apply AI-enabled analytics techniques, build Power BI dashboards, and communicate insights through clear, executive-ready recommendations that support business decisions.