Data Analytics with Assistive AI Program
Data is one of the three foundations AI is built on, alongside algorithms and cloud computing power. Students build highly sought-after data skills, apply AI across the analytics workflow, and test its output against the data itself.
Why Data Analytics Matters
Foundational Skills for Now and the Future
Data analytics builds essential skills such as logical reasoning, data interpretation and the ability to communicate insights clearly. These capabilities strengthen students' understanding in subjects such as Business, Economics, Science and Technology, by adding practical, data-driven thinking to what they learn in class. The AI Literacy Learning Framework identifies data as one of the three core concepts of AI, and this program builds understanding that every AI system depends on.
A Practical Starting Point for AI and the Future of Work
AI starts with data — and this program teaches students how to work with it from the ground up. They learn to collect, clean and analyse data using professional tools. AI at its core is data analysis and prediction, learning patterns from data make predictions. As students progress, they apply AI to support their own analysis through automated insight and trend detection — and examine how it goes wrong: how bias enters a dataset, why outputs must be verified, and what "hallucination" means in practice. By building these skills early, they gain a solid foundation for future learning in AI, machine learning and data science.
Develops Critical Thinkers and Data-Driven Problem Solvers
Learning data analytics strengthens students' ability to think critically, reason logically and solve problems using evidence. The Framework asks students to make critical and discerning judgement about AI's benefits and risks, and to use it ethically, including protecting privacy and respecting intellectual property. These skills help students stand out in competitive programs and prepare them for careers where analytical thinking is in high demand.
Program Outline
Foundations of Data Analytics
- What is data? Why data is central to today's world - Understand the data analytics process and its role in solving real-world problems - Collecting, organising and cleaning data - Introduction to descriptive analysis - Creating basic data visualisations to explore patterns and insights - Understand what personal data is, why it must be protected, and what responsible data handling looks like
Intermediate Data Skills & Tools
- Descriptive and inferential statistics for stronger data interpretation - Introduction to Python for Data Analytics (e.g. Pandas, Matplotlib) - Building interactive visualisations with Python and Tableau - Identify trends and patterns in datasets - Understand how machine learning models find patterns and make predictions，building regression models - Explain what drives a model's predictions with explainable AI (SHAP) - Use AI-assisted analysis tools, then verify their output against the underlying data - Communicate insights effectively — storytelling with data
Advanced Analytics & AI Foundations
- Work with large-scale datasets in Google BigQuery, using advanced SQL such as joins, CTEs and window functions - Query the cloud directly from Python, then turn results into clear, presentation-ready charts - Build AI models that predict and classify from data, and read the model to explain how it reached each answer - Find patterns in data without labels using clustering, and profile what each segment represents - Forecast future values with moving averages and exponential smoothing, and learn why every forecast carries error the data cannot see - Recognise how bias enters an AI model through its data, and how to identify and address it - Complete a capstone project using real data to address a genuine community or school need
Program Outline
Foundations of Data Analytics
- What is data? Why data is central to today's world - Understand the data analytics process and its role in solving real-world problems - Collecting, organising and cleaning data - Introduction to descriptive analysis - Creating basic data visualisations to explore patterns and insights - Understand what personal data is, why it must be protected, and what responsible data handling looks like
Intermediate Data Skills & Tools
- Descriptive and inferential statistics for stronger data interpretation - Introduction to Python for Data Analytics (e.g. Pandas, Matplotlib) - Building interactive visualisations with Python and Tableau - Identify trends and patterns in datasets - Understand how machine learning models find patterns and make predictions，building regression models - Explain what drives a model's predictions with explainable AI (SHAP) - Use AI-assisted analysis tools, then verify their output against the underlying data - Communicate insights effectively — storytelling with data
Advanced Analytics & AI Foundations
- Work with large-scale datasets in Google BigQuery, using advanced SQL such as joins, CTEs and window functions - Query the cloud directly from Python, then turn results into clear, presentation-ready charts - Build AI models that predict and classify from data, and read the model to explain how it reached each answer - Find patterns in data without labels using clustering, and profile what each segment represents - Forecast future values with moving averages and exponential smoothing, and learn why every forecast carries error the data cannot see - Recognise how bias enters an AI model through its data, and how to identify and address it - Complete a capstone project using real data to address a genuine community or school need
What Makes this Program Unique
What AI Learns From: Data and Models
AI is built on data, and this programme shows students how that works. They learn how data patterns allow AI models to learn and predict, work with AI-assisted analysis tools, and confront where AI gets it wrong: how bias enters a model, why AI output must be fact-checked, and how to judge whether a pattern is real.
Versatile Skills for Any Career Path
Data analytics is in high demand across industries — from business and finance to healthcare, science and technology. This program equips students with transferable skills such as critical thinking, data interpretation and evidence-based decision-making. As AI takes over routine analysis, it is judgement, verification and the ability to ask the right question that distinguish candidates — and that is what students build here.
Bridging Industry and Practice for Skill Development
Our programs are taught by industry professionals with hands-on experience, using interactive and practical approaches in the classroom to boost student motivation and skill application. Through partnerships with companies ranging from startups to large enterprises, students take part in workplace experiences, company visits and a variety of extracurricular activities, exploring technology and broadening their horizons.
Learn Industry-Standard Data Analytics Tools
Students turn everyday tools such as Google Sheets into platforms for powerful data analysis. They learn to code in Python and use professional software to transform raw data into visual stories. These skills are also the foundations of AI itself: students train regression models that predict from data, and use explainable AI to see which parts of the data drove each prediction. Alongside the tools, they learn the discipline of checking AI-assisted output: a convincing chart can still be built on a flawed question or a biased dataset.
What Makes this Program Unique
What AI Learns From: Data and Models
AI is built on data, and this programme shows students how that works. They learn how data patterns allow AI models to learn and predict, work with AI-assisted analysis tools, and confront where AI gets it wrong: how bias enters a model, why AI output must be fact-checked, and how to judge whether a pattern is real.
Versatile Skills for Any Career Path
Data analytics is in high demand across industries — from business and finance to healthcare, science and technology. This program equips students with transferable skills such as critical thinking, data interpretation and evidence-based decision-making. As AI takes over routine analysis, it is judgement, verification and the ability to ask the right question that distinguish candidates — and that is what students build here.
Bridging Industry and Practice for Skill Development
Our programs are taught by industry professionals with hands-on experience, using interactive and practical approaches in the classroom to boost student motivation and skill application. Through partnerships with companies ranging from startups to large enterprises, students take part in workplace experiences, company visits and a variety of extracurricular activities, exploring technology and broadening their horizons.
Learn Industry-Standard Data Analytics Tools
Students turn everyday tools such as Google Sheets into platforms for powerful data analysis. They learn to code in Python and use professional software to transform raw data into visual stories. These skills are also the foundations of AI itself: students train regression models that predict from data, and use explainable AI to see which parts of the data drove each prediction. Alongside the tools, they learn the discipline of checking AI-assisted output: a convincing chart can still be built on a flawed question or a biased dataset.
Program Outline
Looking to bring SEED Programs to your school?
Let’s Connect
What School Partners Says About SEED
View All
SKH Holy Trinity Church Secondary School
Field Trip
We sincerely thank the SEED Foundation and its sponsoring organizations for providing our students with UX/UI and Cloud Computing courses. These programs not only enabled students to gain additional qualifications during their high school years, but also offered them the opportunity to visit and participate in various innovation and technology field trip, broadening their horizons. Some students even had the chance to take part in a Work Experience program — something made possible thanks to the dedicated efforts and arrangements by the team. Thank you! Participating students shared that they had a meaningful and enriching workplace experience, which gave them encouragement and confidence as they prepare to enter society in the future. We would also like to express our gratitude for organizing the innovation and technology field trip to the Greater Bay Area for a group of our teachers during summer holiday。It was truly a rewarding and inspiring experience for all of us.
Teacher
Lau Wong Fat Secondary School
Cloud Computing
Both SEED's UX/UI course and the Cloud Computing course have been immensely beneficial to students. In the Cloud Computing course, students not only learn theoretical concepts, but also have the opportunity to apply them through hands-on practice on Alibaba’s cloud platform. This helps deepen their understanding and enhances their ability to apply what they’ve learned. Combined with the workplace experience program, students are able to get an early taste of the workplace environment and see how their knowledge can be applied in real-world work and daily life, broadening their horizons and understanding.
Teacher
Salesians of Don Bosco Ng Siu Mui Secondary School
UXUI
The course content was highly practical, and the teacher was dedicated and engaging. This motivated the students to keep learning and truly enjoy the process.
Teacher
What School Partners Says About SEED
View All
SKH Holy Trinity Church Secondary School
Field Trip
We sincerely thank the SEED Foundation and its sponsoring organizations for providing our students with UX/UI and Cloud Computing courses. These programs not only enabled students to gain additional qualifications during their high school years, but also offered them the opportunity to visit and participate in various innovation and technology field trip, broadening their horizons. Some students even had the chance to take part in a Work Experience program — something made possible thanks to the dedicated efforts and arrangements by the team. Thank you! Participating students shared that they had a meaningful and enriching workplace experience, which gave them encouragement and confidence as they prepare to enter society in the future. We would also like to express our gratitude for organizing the innovation and technology field trip to the Greater Bay Area for a group of our teachers during summer holiday。It was truly a rewarding and inspiring experience for all of us.
Teacher
Lau Wong Fat Secondary School
Cloud Computing
Both SEED's UX/UI course and the Cloud Computing course have been immensely beneficial to students. In the Cloud Computing course, students not only learn theoretical concepts, but also have the opportunity to apply them through hands-on practice on Alibaba’s cloud platform. This helps deepen their understanding and enhances their ability to apply what they’ve learned. Combined with the workplace experience program, students are able to get an early taste of the workplace environment and see how their knowledge can be applied in real-world work and daily life, broadening their horizons and understanding.
Teacher
Salesians of Don Bosco Ng Siu Mui Secondary School
UXUI
The course content was highly practical, and the teacher was dedicated and engaging. This motivated the students to keep learning and truly enjoy the process.
Teacher