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Data Journey explores a simple idea: learning data becomes more meaningful when a student follows the complete story, from company operations to the report supporting a decision.
Project intent
The lab simulates a store and an ERP, generates data, and proposes missions across PostgreSQL, Power Query, modeling, DAX, and Power BI.
Data Journey is a private training academy focused on hands-on practice for Data Science and Business Intelligence. The core idea is to teach data analysis, database model design, SQL, and BI dashboards through realistic simulated enterprise scenarios. Students walk through the entire data cycle, from data creation inside a shop/ERP system to writing queries, building dashboards, and extracting business insights.
LAB DIFFERENTIATORS
These are the main elements organized in this workstream.
- Immersive practical training simulating a real retail shop / ERP database
- Direct query access to a PostgreSQL database loaded with real datasets
- Hands-on SQL writing focused on business decision-making
- Power Query setup, data modeling, and DAX calculations
- Professional dashboard development and reporting in Power BI
- Interaction with AI Assistant Kianna for contextual guidance
- Structured practical missions with digital certificate issuance
TARGET AUDIENCE
Tech students, entry-level data analysts, professionals transitioning careers, and anyone seeking to learn BI and data engineering by doing it in a business context.
How this experience can be applied
The same approach can support internal training, team development, and educational programs that need to connect technical concepts with business reality.
What to evaluate before applying a similar solution
These criteria help turn the project reference into a decision that fits the company or community context.
- Which skill learners must demonstrate after each mission.
- How simulated data preserves realistic relationships and problems.
- How SQL, modeling, DAX, and visualization form a progression.
- How feedback corrects reasoning rather than only answers.
- Which indicators demonstrate learning and workplace application.
INFRASTRUCTURE & STACK
PostgreSQL, Power BI, Python Stack, Docker Compose, custom LMS platform, Kianna AI.
Sources and further reading
This material presents my working approach and is educational. The right solution depends on the context, risks, and responsibilities of each project.
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