2026 AO Summer Camp
Data Intelligence & Business Analytics Lab (Day Camp)
Data Intelligence & Business Analytics Lab (Day Camp)
Data Science & Business Lab is a rigorous, real-world programme that teaches students what data science truly is: a disciplined approach to making better decisions in business, sport, government, and society. Rather than focusing on coding in isolation, students learn how data informs judgement, strategy, and tradeoffs. Working with authentic datasets and realistic simulations, students analyse sports performance, evaluate business opportunities, and respond to changing market conditions. They examine real data from Japan, the United States, and global markets, and communicate insights through professional presentations—mirroring how analysts, executives, and policymakers actually think and operate.
Address
Address
AISL Harrow Hong Kong, 38 Tsing Ying Rd, Tuen Mun, Hong Kong
Fees include
Fees include
For day camps, the fee includes study materials, providing the necessary resources for each student's daily activities and learning experiences.
Please be aware that transportation to and from the camp, flight tickets, visa fees, and personal travel insurance are not included in the camp fees and should be arranged separately by the participants.
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Programme Highlights
- DecisionDriven Data Science: Students master core data science concepts—variables, correlation, causation, inference, and decision modelling—not as abstract theory, but as practical tools for choosing between real alternatives with real consequences.
- Correlation vs Causation — Explicitly Confronted: Through carefully designed examples, students experience how easy it is to draw misleading conclusions. They learn how analysts identify confounding variables, test assumptions, and revise conclusions as new data emerges.
- Sports Analytics as Strategy: Using baseball and basketball datasets, students analyse player valuation, team performance, attendance, revenue, and competitive advantage—connecting sports analytics to broader business and economic principles.
- Entrepreneurial Business Simulations: Students run simulated ventures such as a Boba Truck business, making decisions on pricing, location, costs, demand, and competition. Unexpected disruptions—weather events, market shocks, or seasonal changes—force realtime strategic adaptation.
- Global & Contextual Thinking: Real datasets from Japan, the US, and global markets expose students to demographic change, consumer behaviour, sustainability challenges, and macroeconomic forces, encouraging systemslevel reasoning beyond simple profit calculations.
- Advanced Data Analysis & Visualisation: Learners analyse and visualise complex datasets using multiple graph types and representations, selecting the most effective way to communicate insights to different audiences.
- ExecutiveLevel Communication: Students present business proposals and databacked recommendations, field challenging questions, defend assumptions, and respond to critique—developing confidence, clarity, and professional presence.
Learning Outcomes
By the end of the Data Science & Business Lab, students will demonstrate the habits of mind used by elite analysts and decisionmakers.
1) Analytical Precision
- Accurately calculate and interpret averages, medians, variance, ROI, breakeven points, and profit margins
- Evaluate uncertainty and quantify tradeoffs
2) Strategic Judgement Under Uncertainty
- Balance shortterm outcomes against longterm strategy
- Understand that the “best” decision is not always immediately profitable
3) Critical & Systems Thinking
- Identify missing variables, confounding factors, and hidden assumptions
- Integrate pricing, demand, location, labour, and scale into unified models
4) Intellectual Humility & Adaptability
- Revise conclusions as new data becomes available
- Recognise when confidence must give way to caution
5) Ethical & Societal Reasoning
- Evaluate decisions using real datasets on food consumption, water use, population change, and sustainability
- Defend positions using evidence rather than intuition
6) Professional Communication
- Clearly explain datadriven conclusions to nontechnical audiences
- Defend recommendations persuasively while engaging with alternative viewpoints
Camp Details
Dates: 13-17 July; 20-24 July 2026
Location: AISL Harrow Hong Kong
Age Group: 8-11 years
Camp Type: 5-day Day Camp
Language: English
Terms and Conditions
We have a number of policies in place to assure the quality of our programmes, their administration and the safety of the children and staff who take part in them. Please take a moment to review our policies and guidelines.
Please also read through our Personal Information Collection Statement to understand how we may carefully use your personal data.