Learn the data skills companies actually need.
Join practical, instructor-led programmes in Data Analytics, Business Intelligence, Data Engineering and AI Automation. Build projects and learn how data work happens in real organisations.
Live instruction, practical projects, mentor feedback and career support—built into every programme.
Find the programme that fits your next move.
Data Analytics
SelectedAnalyse data, build dashboards and communicate business insights.
Retail Revenue Velocity & Customer Churn Analysis
Business Intelligence
Design reporting systems and decision-ready dashboards.
Data Engineering
Build reliable pipelines, warehouses and modern data workflows.
AI and Data Automation
Automate operational processes with Python, APIs and AI systems.
Data Analytics
Analyse data, build dashboards and communicate business insights.
- —Master SQL queries, aggregation, JOINs and CTEs on real transactional databases
- —Design clear, executive-ready Power BI dashboards adhering to modern UX guidelines
- —Perform exploratory analysis in Python using Pandas and formulate business recommendations
Retail Revenue Velocity & Customer Churn Analysis
Not sure where to begin?
Which description sounds most like you?
Data Analytics
Start with spreadsheets and introductory SQL. Learn to clean business datasets and present insights before building interactive dashboards.
Learn with people, not alone.
Follow a structured weekly rhythm, work through practical assignments and receive feedback from instructors who use these skills professionally.
Attend the live class
Weekly interactive live classes led by working data practitioners who explain both how and why.
Practise with realistic datasets
Work through exercises using raw, messy business transaction logs rather than clean tutorials.
Build and submit your project
Construct complete, documented portfolio projects from scratch.
Receive detailed feedback
Get direct code reviews and actionable suggestions on your queries and models from mentors.
Present your final work
Refine deliverables into portfolio case studies and defend your analytical choices.