| Event Profile | |
| Class/ Online | Classroom |
| Date | 17 March 2026 |
| Time | 9.00am to 5.00pm |
| Venue | Holiday Inn Atrium Singapore (Halal Certified) 317 Outram Road Singapore 169075 |
| Fee | 9% GST will apply SGD 540.003 & above: SGD520.00 each For Member SGD 513 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) 17 Jun 2026 2) 17 Sep 2026 3) 11 Dec 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 | |
In today’s fast-paced and data-driven business environment, managers must move beyond basic Excel functions to extract actionable insights that guide strategic and operational decisions. This course empowers managers, executives, and professionals to leverage Microsoft Excel as a powerful analytical and business intelligence platform. Participants will learn to transform raw organizational data into meaningful insights that improve performance, optimize operations, and support evidence-based decision-making.
Through a combination of case-based instruction and hands-on exercises, learners will master essential techniques across four modules: data analytics foundations, data preparation and governance, business visualization, and data storytelling. They will gain the ability to analyze performance indicators, conduct statistical and forecasting analysis, and design professional dashboards that communicate insights with clarity and impact.
The course integrates elements of business performance management (BPM) to help participants link operational metrics with strategic goals. By the end of the program, learners will confidently use Excel not merely as a spreadsheet tool, but as a decision-support and managerial analytics system capable of driving continuous improvement across departments.
Participants are required to bring a laptop installed with Microsoft Office 365, 2019, or 2021 (Windows version).
Through a combination of case-based instruction and hands-on exercises, learners will master essential techniques across four modules: data analytics foundations, data preparation and governance, business visualization, and data storytelling. They will gain the ability to analyze performance indicators, conduct statistical and forecasting analysis, and design professional dashboards that communicate insights with clarity and impact.
The course integrates elements of business performance management (BPM) to help participants link operational metrics with strategic goals. By the end of the program, learners will confidently use Excel not merely as a spreadsheet tool, but as a decision-support and managerial analytics system capable of driving continuous improvement across departments.
Participants are required to bring a laptop installed with Microsoft Office 365, 2019, or 2021 (Windows version).
Objective
Upon completion of the course, learner will
- Understand Data Analytics and Business Metrics
- Prepare and Analyze Business Data Effectively
- Visualize and Communicate Data for Impact
- Interpret, Present, and Storytell with Data
Outline
Module 1: Introduction to Data Analytics
Module 2: Data Preparation and Analytics
Module 3: Data Visualization for Business Communication
Module 4: Interpreting and Communicating Data Insights
- Overview of data analytics and its significance in today’s business landscape
- Understanding business and financial KPIs and BPM
- Understanding data-driven decision-making in Human Resources
- 4 levels of data analytics
Module 2: Data Preparation and Analytics
- Understand data governance and its role in ensuring data quality
- 4 steps in the data analytics pipeline.
- Basic statistical analysis (hypothesis testing)
- Financial forecasting techniques
Module 3: Data Visualization for Business Communication
- The role of visualization in data analytics.
- Types of charts (bar, line, scatter, pie, etc.) and when to use them.
- Practical design principles for effective visualisations
- Data visualization best practices
Module 4: Interpreting and Communicating Data Insights
- Identifying trends and patterns in data.
- The importance of storytelling with data.
- Mckinsey pyramid framework
- Strategies for presenting business data insights effectively to stakeholders.
Who should attend
- Operations and production managers focused on efficiency and quality improvement.
- Department heads, team leaders, and supervisors responsible for monitoring KPIs.
- Finance, HR, and administrative professionals managing data for decision support.
- SME owners, analysts, and professionals aiming to enhance data-driven management skills.
Methodology
This is a fast-paced, hands-on 1-day workshop designed for managers who want to make smarter, data-driven decisions using Microsoft Excel. The course emphasizes practical learning through guided exercises and real business applications.
Testimonial
The coverage and depth of this course were adequate.
The concepts and skills presented are useful and relevant to my work.
Mr. Dwight is knowledgeable and friendly
Dwight is very prepared and has a lot of experience to share. I found that the examples he gave were very relevant and helped me understand the concepts better. I appreciate his quality teaching, as he is tech-savvy, efficient, and engaging.
Very real and good examples were given.
The concepts and skills presented are useful and relevant to my work.
Mr. Dwight is knowledgeable and friendly
Dwight is very prepared and has a lot of experience to share. I found that the examples he gave were very relevant and helped me understand the concepts better. I appreciate his quality teaching, as he is tech-savvy, efficient, and engaging.
Very real and good examples were given.
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
