It is designed to provide practical, hands-on experience in analysing real-world data using industry-standard tools and professional analytical workflows.

The program focuses on practical execution, documentation, and analytical thinking, rather than theoretical instruction. Participants work through defined deliverables and receive guided feedback, mirroring how data analysis tasks are carried out in professional environments.

This practicum is an educational initiative and is not an employment opportunity. Participation does not create an employer–employee relationship.

• Duration: 3 months

• Weekly commitment: Approximately 6–8 hours

• Delivery format: Live group sessions combined with independent practical work

• Cohort-based model

• Excel (data preparation, validation, and basic analysis)

• SQL (data querying and analytical reporting)

• Python (data analysis and insight generation)

• Power BI (dashboards, KPIs, and visual reporting)

TOOLS COVERED

PROGRAM STRUCTURE

Practicum Framework

Participants complete four structured projects using a real-world business dataset. The same dataset is used across projects to increase analytical depth and complexity over time.

• Mini Project: Excel and SQL foundations

• Core Project: SQL and Python analysis

• Core Project: Power BI dashboards and performance metrics

• Capstone Project: End-to-end business analysis and reporting

Each project includes defined tasks, submission guidelines, and structured review feedback.

What Participants Receive

• Practical experience working with real datasets

• Portfolio-ready project outputs

• Structured progress tracking and feedback

• Certificate of completion and practicum experience letter (subject to successful completion)

Who This Practicum Is Suitable For

• Students and recent graduates

• Individuals transitioning into data analytics

• Learners seeking structured project experience beyond academic or online courses