| Event Profile | |
| Class/ Online | Classroom |
| Date | 14 September 2026 |
| Time | 9am to 5pm |
| Venue | Holiday Inn Atrium Singapore (Halal Certified) 317 Outram Road Singapore 169075 |
| Fee | 9% GST will apply SGD 550.003 & above: SGD520.00 each For Member SGD 522.5 3 & above: SGD494 each |
| Note | Two tea breaks and buffet lunch will be served. Limited complimentary car parking coupons are available upon request. |
| Other Date(s) | 1) 21 Apr 2026 2) 13 Jul 2026 |
| Trainer | |
| Activity | |
| You may reach us via T: 6204 6214 E: info@ccisg.com Alternatively, you may send below details to register Contact Person Company (optional), Name, Job Title, Mailing Address, Tel, Email Participant(s) Name, Job Title, Email | |
This course empowers participants to transform raw data into impactful stories using Excel. Participants will learn how to combine analytical insight with narrative and visualization design to communicate key messages effectively. Through practical exercises, learners will use Excel features such as PivotTables, Conditional Formatting, Charts, and Sparklines to reveal trends, patterns, and insights.
By the end of the course, participants will be able to craft compelling data stories that drive decisions—merging analytical logic with emotional resonance through visualization, structure, and narrative flow.
Participants should bring a laptop with Microsoft Office 365 / 2019 / 2021. Laptop can access Hotel Wifi or your own mobile hotspot
By the end of the course, participants will be able to craft compelling data stories that drive decisions—merging analytical logic with emotional resonance through visualization, structure, and narrative flow.
Participants should bring a laptop with Microsoft Office 365 / 2019 / 2021. Laptop can access Hotel Wifi or your own mobile hotspot
Objective
Upon completion, participants will be able to:
- Understand the principles and framework of data storytelling.
- Identify and apply Excel tools (PivotTables, Charts, Conditional Formatting, Sparklines) to visualize and communicate insights effectively.
- Design data narratives aligned to audience needs and business context.
- Develop interactive dashboards and reports in Excel that tell a coherent story.
- Present and review data stories that inspire action and decision-making.
Outline
Topic 1: Foundations of Data Storytelling
Topic 2: Drawing Insights from Data Visualizations
Topic 3: Presenting and Reviewing Stories
Topic 4: Creating Interactive and Dynamic Visualizations
- Understanding Data Storytelling: what, why, and how.
- The Data Storytelling Framework — narrative, visuals, and context.
- Knowing your audience and defining story objectives.
- Storyboarding and narrative planning using Excel and PowerPoint integration.
Topic 2: Drawing Insights from Data Visualizations
- Visualization principles and choosing the right chart in Excel.
- Designing visual hierarchy using Conditional Formatting and Color Scales.
- Using PivotTables and PivotCharts to identify patterns and trends.
- Employing Sparklines and mini-charts for micro visual storytelling.
Topic 3: Presenting and Reviewing Stories
- Best practices for presenting insights through Excel visuals.
- Tailoring stories for management, clients, and technical stakeholders.
- Collaborating with subject matter experts for validation.
- Reviewing and refining stories: ensuring message clarity and data accuracy.
Topic 4: Creating Interactive and Dynamic Visualizations
- Using Slicers, Filters, and Drop-down Lists for interactivity.
- Emphasizing clarity: avoid clutter, maintain simplicity, and focus on message delivery.
- Dynamic storytelling through scenario analysis and What-If tools.
- Enhancing interactivity with dynamic ranges and formulas.
Who should attend
- Business analysts and data professionals seeking to enhance storytelling and visualization skills.
- Marketing, operations, and finance staff needing to communicate insights clearly.
- Managers and decision-makers interested in data-driven presentation techniques.
- Anyone who regularly prepares business reports or dashboards using Excel.
Methodology
This is a fast-paced, hands-on workshop designed to help participants learn through doing.
- Interactive Lectures & Demonstrations
- Hands-On Practice Sessions
- Case Studies & Discussion
- Q&A and Reflective Learning
Testimonial
Dwight has pitched the right level of language to my class.
Dwight shared many real-life case studies and stories from his own experience.
The trainer provided clear and relatable examples that helped us apply data storytelling in our work.
The course was highly engaging and kept everyone interested throughout.
The examples Dwight shared were very practical and useful.
Dwight shared many real-life case studies and stories from his own experience.
The trainer provided clear and relatable examples that helped us apply data storytelling in our work.
The course was highly engaging and kept everyone interested throughout.
The examples Dwight shared were very practical and useful.
Dwight Nuwan Fonseka's Profile
Head Data Analyst | Data Governance & AI | CAIP | CDSP | ACLP
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
Dwight Fonseka is a seasoned data analytics professional with over a decade of experience in big data, predictive modeling, and AI. Holding a Master’s in Education (NTU), a degree in Biotechnology (NUS). He is a Certified AI Practitioner (CAIP), Certified Data Science Practitioner (CDSP), and ACLP-certified trainer with extensive experience delivering data-driven insights and practical applications across industries.
Dwight has held roles such as Senior Data Analyst and Data Governance Officer at Plano Pte Ltd, specializing in healthcare analytics and machine learning. As an adjunct trainer, he delivers practical courses in data visualization, data storytelling, deep learning, and AI business models, using tools like R, Python, Tableau, and RapidMiner.
Notable Topics Trained:
- Data Analytics & Visualization (R, Tableau, Excel)
- Machine & Deep Learning (RapidMiner, DeepCognition)
- Data Governance & AI Business Models
- Predictive Analytics & Data-Driven Decision-Making
