24-25 Sep 2026
course - Smarter Data-Driven Decisions with Excel & AI
Smarter Data-Driven Decisions with Excel & AI
Our programs are trusted by over 10,000 professionals from public and private sectors
SCHEDULE
| DATE: |
TIME: 9am – 5pm |
| LOCATION: Amara Singapore |
| Normal (from 4 Sep 2026) |
Early Bird (by 2 Sep 2026) |
Group of ≥3 (by 2 Sep 2026) |
| S$1,675.80 |
S$1,533.00 |
S$1,396.50 |
OVERVIEW
Whether you are making a decision, seeking approval for a proposed action, or preparing a recommendation for management, you need to know what the data actually supports.
Smarter Data-Driven Decisions with Excel & AI is a practical two-day course for professionals who already use Excel and need to make better use of workplace data for decision making.
Using a realistic public-sector case, you will learn to analyse evidence with Excel, use AI responsibly to support interpretation and critical thinking, and develop sound, defensible recommendations.
The focus is not on becoming a data analyst, but on using data, Excel and AI intelligently to make better-informed decisions.
Course Overview Video: Smarter Data-Driven Decisions with Excel & AI
What Makes Smarter Data-Driven Decisions With Excel & AI Unique?
Built Around the Decision, Not the Tool
Most data courses teach technical skills and tools. This workshop helps non-analysts use Excel and AI intelligently to make sound, defensible workplace recommendations - not turn you into a data analyst.
Beyond Excel & Analytics Mechanics: Use Excel skills stragtegically rather than pursuing technical mastery.
Judgement Before Automation: Check the evidence, recognise limitations and decide what conclusions are justified.
AI Integrated, Not Bolted On: AI supports interpretation, challenge, questioning, drafting and review throughout the work.
Recommendations, Not Just Analysis: The goal is not another chart or dashboard, but a recommendation that can withstand scrutiny.
FAQ About Smarter Data-Driven Decisions with Excel & AI Workshop
Is this an Excel training course?
Not in the conventional sense. You should already have basic working familiarity with Excel. The workshop builds on those skills and shows you how to use Excel more strategically as part of a workplace decision process.
How is this course different from other Excel or data analytics workshops?
This workshop is built around a workplace decision rather than Excel features or analytics theory. Participants follow one public-sector case from the management request through data checking and Excel analysis to AI-assisted interpretation, critical review and a decision-ready recommendation. AI supports the whole process, while the participant remains responsible for the judgement..
Do I need a data analytics background?
No. The programme is designed for professionals who use data as part of their work but are not professional data analysts.
is AI used only in one part of the course?
No. AI techniques are introduced explicitly, but AI is also used throughout the running case to support questioning, interpretation, challenge, drafting and review.
What will I be able to do after completing this training?
By the end of the course, you’ll be able to clean and organize data in Excel, apply AI to speed up analysis, create clear visualizations, and present compelling data stories that support informed decision-making.
Join 10,000+ professionals who have benefitted from our workshops. Register Now!
BROCHURE REQUEST
Looking to learn more about our workshop? Fill in this form to request a brochure from us now!
REQUEST SUBMITTED
Your request has been submitted. We will get back to you in 3 working days.
WHO SHOULD ATTEND
For professionals who use data to make, support or recommend workplace decisions. Relevant to managers, senior managers and officers working across areas such as:
Policy & Planning
Audit & Compliance
Projects & Programmes
Procurement
Finance & Risk
Service Delivery
Operations
Human Resource
BRIEF PROGRAM OUTLINE
This course blends short lectures, critical thinking exercises, and guided Excel practice to build structured reasoning and practical data skills. Participants learn how to use AI tools to streamline routine tasks, uncover patterns, and generate insights that support decision-making. Real public-sector case studies ground the learning in familiar contexts, helping participants apply new techniques directly to their day-to-day work.
The Management Request
Identify the decision required, surface assumptions and determine what evidence management needs.
From Issue to Decision Question
Turn a broad workplace concern into an analysable, decisionoriented question.
Checking & Preparing the Data
Review missing values, inconsistent categories, duplicates, data quality and limitations before drawing conclusions.
Finding Patterns with Excel
Use tables, filters, PivotTables, formulas, rates, comparisons and charts to examine the evidence.
Support Analysis with AI
Use AI to generate analytical questions, challenge assumptions, explore interpretations and improve explanations.
AI Outputs vs Data Claims
Compare AI-generated content against the source data and remove unsupported, incomplete or overstated claims.
Turning Analysis into a Recommendation
Prepare a concise management update linking the issue, evidence, analysis, limitations, recommendation and next steps.
Pre-requisite:
- Basic Excel Familiarity Required
- This is not an Excel basics course.
- You should already be comfortable with basic tasks such as: Sorting • Filtering • Simple formulas • Tables • Basic charts
You do not need programming, coding, advanced statistics, data science or AI-development experience.
WHAT YOU WILL LEARN
- Frame the Decision Question - Turn a broad workplace concern into a clear question that defines what the analysis needs to answer.
- Assess the Evidence - Identify what data is needed, its limitations and the assumptions that could affect your conclusion.
- Analyse & Identify What Matters - Check, structure, summarise, compare and visualise data to identify patterns, exceptions and trends.
- Use AI Responsibly - Apply AI to support analysis planning, interpretation, challenge and drafting throughout your work.
- Challenge Claims & Conclusions - Check data and AI-assisted claims for accuracy, missing context, bias and overstatement and distinguish findings from assumptions and interpretations.
- Recommend with Evidence - Prepare a concise management update linking the issue, evidence, analysis, limitations and recommended action.