Think with data
Learners move from raw information to questions, patterns and evidence-based conclusions.
Data & Analytics
Data Analytics – Excel, SQL & Power BI
Clean, analyse and visualise real data using spreadsheets, SQL and dashboards to turn information into useful insights.
Grades8–12LevelIntermediateLearningProject-led
This Data Analytics course is designed for grades 8–12 and can be adapted to the learner's age, starting level and pace.
ExcelSQLPower BI
Why this program matters
Benefits that go beyond learning a tool.
The program is designed to help learners think, create and solve problems more independently - with projects that make progress visible.
Practical tool fluency
Students use real analysis tools to organise, query, visualise and communicate data.
Clear communication
Charts, dashboards and summaries help learners explain what the data is actually saying.
Problem-solving with evidence
Projects make analysis purposeful instead of turning it into a collection of isolated commands.
Who is this program for?
Grade helps us shortlist a course, but confidence, experience and interests matter too.
Grades 8–12 students who like patterns and real-world informationLearners interested in business, research or data-informed decisionsStudents preparing for deeper data science
By the end01 02 03 04
What should the learner actually be able to do?
Clean and organise structured datasets
Use formulas and SQL to answer practical questions
Build useful charts and dashboards
Present insights without confusing correlation with proof
Curriculum journey
A structured path from foundations to an independent build.
The exact pace can change with the learner, while the progression keeps concepts connected to practical outcomes rather than isolated lessons.
01Learning block
Foundations
Clean and analyse structured datasetsCommunicate insights with effective visualisations
02Learning block
Core Skills
Working with structured dataQueries, analysis and visualisation
03Learning block
Applied Projects
Apply concepts to a complete working outcomeTest, improve and explain decisions
04Learning block
Independent Build
Plan a final projectBuild, debug, refine and present
What they'll build
Projects that turn concepts into visible outcomes.
Project examples can vary with level, but every learner should repeatedly plan, build, test and improve something that actually works.
01
Excel analysis
02
SQL report
03
Power BI dashboard
04
Dataset analysis
05
Charts / dashboard
06
SQL challenge
How learning works
Learn, build, test, debug, explain.
The mentor supports the thinking process without turning the class into a copy-along exercise. Learners are encouraged to make decisions, ask questions and improve their own work.
01Understand the idea02Build a working version03Test what happens04Debug and improve05Explain the result
Build Showcase milestone
Progress should be explainable - not just runnable.
Present a dashboard or analysis, explain the questions asked of the data and defend the conclusions drawn.
01What did I build?02How does it work?03What went wrong?04What did I change?05What would I improve next?
What comes next?
Explore all learning pathways A clear next step after this program.
Data Science with Python, SQL depth, AI / automation or domain-specific analytics projects.
Questions about fit?
Is Data Analytics the right starting point?
Tell us the learner's grade, current experience and interests. We'll recommend this program - or a better starting point if there is one.