Classroom/ Online: Yes/ No
Scheduling Date(s):
1) 20 Jul 2026 (classroom - confirmed)
2) 20 Nov 2026 (classroom)
Note: Please click specific date for detailed venue and course fee etc.
AI-Powered Data Analytics & Visualization
(Multi-Tools: ChatGPT (Advanced), Gemini, NotebookLM, Copilot (Demo), Colab (Demo), Power BI & AI Dashboards)
[1-Day Course | Subjected to changes for 2026]
In the modern business landscape, data is abundant—but actionable insights are scarce. The emergence of advanced AI tools such as generative AI and intelligent copilots has transformed how organisations analyse data, generate insights, and visualise information.
This workshop equips leaders and professionals with the ability to combine AI with data analytics and visualisation tools to unlock deeper insights, improve efficiency, and enhance decision-making.
Participants will explore how tools like ChatGPT, Gemini, NotebookLM, and Power BI can be integrated into a practical workflow—from raw data to executive dashboards—without requiring programming expertise.
Participants are required to bring an internet-enabled laptop for hands-on exercises with AI tools, as the applications are web-based. A Google account and Microsoft Office account are recommended. No prior AI knowledge is necessary. Microsoft Excel / Power BI will be used during the course. No software installation is required. Thank you.
[1-Day Course | Subjected to changes for 2026]
In the modern business landscape, data is abundant—but actionable insights are scarce. The emergence of advanced AI tools such as generative AI and intelligent copilots has transformed how organisations analyse data, generate insights, and visualise information.
This workshop equips leaders and professionals with the ability to combine AI with data analytics and visualisation tools to unlock deeper insights, improve efficiency, and enhance decision-making.
Participants will explore how tools like ChatGPT, Gemini, NotebookLM, and Power BI can be integrated into a practical workflow—from raw data to executive dashboards—without requiring programming expertise.
Participants are required to bring an internet-enabled laptop for hands-on exercises with AI tools, as the applications are web-based. A Google account and Microsoft Office account are recommended. No prior AI knowledge is necessary. Microsoft Excel / Power BI will be used during the course. No software installation is required. Thank you.
Objective
By the end of this workshop, participants will be able to:
- Understand how AI enhances data analytics and visualisation
- Use advanced prompting techniques to extract insights from data
- Apply AI tools to:
- Analyse datasets
- Generate summaries and trends
- Assist in decision-making
- Leverage NotebookLM and Gemini for research and synthesis
- Understand the role of Copilot and Colab in modern analytics workflows (via demos)
- Build interactive dashboards using Power BI
- Design AI-assisted dashboards and reports for business storytelling
- Apply a structured approach to data-driven decision-making
Outline
Module 1: AI in Data Analytics – The New Paradigm (Theory + Demo)
Module 2: Advanced AI Prompting for Data Analysis (Hands-On)
Module 3: AI Tools for Research & Insight Synthesis (Hands-On)
Module 4: AI-Assisted Data Processing (Demo + Conceptual)
Module 5: Data Visualisation with Power BI (Hands-On)
Module 6: AI-Enhanced Dashboards & Storytelling (Applied)
Module 7: Integrated Case Study (Capstone)
- Evolution from traditional analytics → AI-powered analytics
- Overview of AI tools:
- ChatGPT (Advanced usage)
- Gemini
- NotebookLM
- Copilot (demo)
- Colab (demo)
- Where AI fits in the data analytics lifecycle
- Limitations, risks, and governance considerations
Module 2: Advanced AI Prompting for Data Analysis (Hands-On)
- Principles of effective prompting for analytics
- Structuring prompts for:
- Data interpretation
- Trend analysis
- Insight generation
- Turning raw data into narratives using AI
- Exercise: AI-driven analysis of a business dataset
Module 3: AI Tools for Research & Insight Synthesis (Hands-On)
- Using NotebookLM for:
- Document-based insights
- Knowledge synthesis
- Using Gemini for:
- Comparative analysis
- Idea generation
- Cross-tool workflows (ChatGPT + NotebookLM + Gemini)
- Exercise: Generate executive insights from multiple data sources
Module 4: AI-Assisted Data Processing (Demo + Conceptual)
- Introduction to Colab for analytics workflows (demo)
- Using Copilot in data environments (demo)
- Automating data preparation and transformation using AI
- When to use AI vs traditional tools
Module 5: Data Visualisation with Power BI (Hands-On)
- Key principles of effective dashboards
- Building visuals:
- KPI indicators
- Trend charts
- Comparative visuals
- Creating interactive dashboards:
- Filters and slicers
- Exercise: Build a business dashboard from dataset
Module 6: AI-Enhanced Dashboards & Storytelling (Applied)
- Using AI to:
Suggest visualisations - Generate insights from dashboards
- Designing dashboards for executives
- Data storytelling frameworks
- Common pitfalls in visualisation
Module 7: Integrated Case Study (Capstone)
- End-to-end workflow:AI data analysis (ChatGPT / Gemini)
- Insight synthesis (NotebookLM)
- Dashboard creation (Power BI)
- Decision presentation
- Group discussion and presentation
Who should attend
- Business Leaders & Senior Executives
- Managers & Decision-Makers
- Data & Reporting Professionals
- Finance, Sales & Operations Executives
- Consultants & Analysts
Methodology
This workshop is designed to maximise practical application and business relevance:1. Theory (≈30%)
2. Guided Demonstrations
3. Practical Exercises (≈60%)
4. Case Study & Application
5. Key Benefits to Organisations
- Clear, executive-friendly explanation of concepts
- Frameworks for AI adoption and decision-making
- Real-world case examples across industries
2. Guided Demonstrations
- Live walkthroughs of: AI tools (ChatGPT, Gemini, NotebookLM)
- Power BI dashboards
- AI-assisted workflows
- Best practices and common mistakes highlighted
3. Practical Exercises (≈60%)
- Hands-on activities using: AI tools for data analysis
- Power BI for dashboard creation
- Step-by-step guided exercises
- Business-oriented datasets
4. Case Study & Application
- Realistic business scenarios
- Group-based interpretation and discussion
- Presentation of insights and decisions
5. Key Benefits to Organisations
- Enable teams to leverage AI for faster insights
- Improve quality of business decisions
- Enhance data storytelling and reporting capabilities
- Reduce manual effort in data analysis
- Build foundational capability for AI-driven transformation
Testimonials
A well-paced, hands-on, and highly effective course that successfully builds confidence and competence in Power BI.
The course demonstrated that Power BI is more powerful and efficient than Excel, helping learners feel confident and capable of applying it at work. Supporting materials like Dropbox resources and revision notes were very useful.
The trainer was patient, engaging, and effective, incorporating AI tools and practical prompts that enable learners to become independent quickly.
I really appreciated the structured, step-by-step approach taken throughout the course. The use of Google Sheets notes alongside live demonstrations made the learning process very clear and easy to follow. The pacing was well-balanced, allowing enough time to absorb concepts without feeling rushed.
The range of visualisations covered was comprehensive, and the strong emphasis on Power Query Editor (PQE) was especially valuable in building a solid foundation. I also found the additional case studies and real-life applications shared by the trainer very insightful, as they helped contextualise how Power BI can be applied effectively in a work setting.
The workshop was well-designed with a good mix of hands-on practice and guided instruction. The materials provided were extremely useful—especially the Google Sheets notes, which will be instrumental for future revision.
The shared Dropbox resources were also very helpful, as they included not just practice files but additional theoretical content that supports deeper learning beyond the workshop itself.
The trainer demonstrated strong subject knowledge and delivered the content in a clear and engaging manner. I appreciated how the trainer encouraged participation and ensured that everyone could follow along.
One particularly valuable aspect was the integration of AI into the learning process. The trainer shared multiple practical prompts that learners can immediately apply at work, which helps build confidence and independence in using Power BI beyond the classroom.
Overall, the course was very well conducted. One possible enhancement would be to include a slightly more advanced mini-project or mini-capstone exercise at the end, allowing participants to consolidate all concepts learned into a single, end-to-end dashboard.
Bernard's well-paced, hands-on training made Power BI feel accessible and powerful — the step-by-step G-sheets notes, real-life case studies, and PQE coverage gave me everything I needed to apply it confidently at the workplace.
Fantastic trainer with great patience and depth of content — from data processing and conditional formatting to AI-integrated prompts, the course covered it all brilliantly, and the added screen video clips would make revisiting key concepts even easier.
The course demonstrated that Power BI is more powerful and efficient than Excel, helping learners feel confident and capable of applying it at work. Supporting materials like Dropbox resources and revision notes were very useful.
The trainer was patient, engaging, and effective, incorporating AI tools and practical prompts that enable learners to become independent quickly.
I really appreciated the structured, step-by-step approach taken throughout the course. The use of Google Sheets notes alongside live demonstrations made the learning process very clear and easy to follow. The pacing was well-balanced, allowing enough time to absorb concepts without feeling rushed.
The range of visualisations covered was comprehensive, and the strong emphasis on Power Query Editor (PQE) was especially valuable in building a solid foundation. I also found the additional case studies and real-life applications shared by the trainer very insightful, as they helped contextualise how Power BI can be applied effectively in a work setting.
The workshop was well-designed with a good mix of hands-on practice and guided instruction. The materials provided were extremely useful—especially the Google Sheets notes, which will be instrumental for future revision.
The shared Dropbox resources were also very helpful, as they included not just practice files but additional theoretical content that supports deeper learning beyond the workshop itself.
The trainer demonstrated strong subject knowledge and delivered the content in a clear and engaging manner. I appreciated how the trainer encouraged participation and ensured that everyone could follow along.
One particularly valuable aspect was the integration of AI into the learning process. The trainer shared multiple practical prompts that learners can immediately apply at work, which helps build confidence and independence in using Power BI beyond the classroom.
Overall, the course was very well conducted. One possible enhancement would be to include a slightly more advanced mini-project or mini-capstone exercise at the end, allowing participants to consolidate all concepts learned into a single, end-to-end dashboard.
Bernard's well-paced, hands-on training made Power BI feel accessible and powerful — the step-by-step G-sheets notes, real-life case studies, and PQE coverage gave me everything I needed to apply it confidently at the workplace.
Fantastic trainer with great patience and depth of content — from data processing and conditional formatting to AI-integrated prompts, the course covered it all brilliantly, and the added screen video clips would make revisiting key concepts even easier.
Profile of Bernard Peh
Principal Trainer | ACLP Certified | ICF Certified | Data & AI Scientist | Finance & Investment Expert | Senior Fund Manager
Bernard Peh is a Master Trainer, Curriculum Designer, published author, and Hedge Fund Manager with over 25 years of combined experience spanning Data Science and Financial Investments. He specializes in AI, Microsoft 365 Copilot, Power BI, Data Analytics, and workplace automation, helping organizations translate advanced technologies into practical, high-impact business outcomes.
With 15 years of experience as a Financial Services Director across multiple advisory firms, Bernard brings deep real-world industry expertise into his training, particularly in financial analytics, investment strategy, and hedge fund management. He is currently a Senior Partner at BigDataVC, where he co-leads AI- and data-driven investment initiatives powered by predictive analytics.
As an ACLP-certified trainer, Bernard has designed and delivered WSQ, IBF, and SkillsFuture-funded programmes across eight major Accredited Training Organizations (ATOs) in Singapore. Since 2018, he has trained many professionals, earning consistently high learner satisfaction scores for his ability to simplify complex concepts and deliver highly practical, business-relevant learning experiences.
He is also a sought-after keynote speaker and thought leader in Data Science and Investment Strategy, known for bridging the gap between technical analytics and strategic decision-making.
Key Career Highlights
- ACLP-Certified Master Trainer: Developed and delivered WSQ-aligned programmes across 8 leading ATOs in Singapore
- Senior Partner, BigDataVC: Co-leading data-driven investment strategies using AI and predictive analytics
- Financial Services Leader (15 years): Former Director in four leading financial advisory firms in Singapore
- 25+ Years in Data Science & Analytics: Applying advanced analytics to drive business and investment decisions
- Keynote Speaker & Author: Recognized thought leader in Data Science, AI applications, and Investment Strategy
Technical Expertise
- Artificial Intelligence (AI) & Prompt Engineering
- Microsoft 365 Copilot & Power Platform
- Power BI & Data Visualization
- Python, SQL, C / C++
- Microsoft Excel (Advanced)
- Data Science & Predictive Analytics
- Financial Advisory, Investment Strategy & Hedge Fund Management
- Leadership & Business Decision-Making Analytics
