It is designed to provide practical, hands-on experience in analysing real-world–inspired, anonymised datasets 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 4–6 hours

• Delivery format: 1:1 guided sessions combined with mandatory 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)

• Tableau (data visualisation and dashboarding)

TOOLS COVERED

PROGRAM STRUCTURE

Practicum Framework

Participants complete two structured projects using a real-world–inspired, anonymised business dataset. The same dataset is used to build deeper analytical understanding and practical application over time.

• Core Project:
  Focus on data preparation, cleaning, and analysis using Excel, SQL, and Python. Participants develop strong foundations in handling data and generating meaningful insights.

• Final Project:
  Focus on data visualisation and business communication using Power BI or Tableau. Participants build interactive dashboards and present insights in a professional, decision-focused format.

Each project includes clearly defined tasks, submission guidelines, and structured feedback to ensure consistent progress and skill development.

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

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