Build practical skills
for a career in data.

Retail Revenue Velocity & Customer Churn Analysis

• —Query relational datasets and answer multi-table business questions.
• —Build clear Power BI reports and data models around defined business questions.
• —Analyse datasets in Python and communicate evidence-based recommendations.

Production E-commerce Data Pipeline & Warehouse Infrastructure

• —Build automated pipelines that validate and move data reliably.
• —Structure warehouse transformations into maintainable dbt models.
• —Add data-quality checks and deployment workflows to an analytical pipeline.

Automated Document Parser & Financial Reporting Bot

• —Automate a repetitive reporting or data-handling workflow with Python.
• —Connect APIs and turn unstructured information into usable structured data.
• —Evaluate where applied AI adds practical value and build a focused workflow around it.