Beginner Data Science Project Ideas Using Power BI and Public Datasets
In the modern data landscape, the role of a data professional has evolved significantly. While traditional data science often emphasizes complex modeling, the ability to translate raw data into clear, actionable business intelligence is what drives real-world decision-making. Power BI has become a cornerstone of this process, enabling users to perform sophisticated data modeling, execute powerful DAX calculations, and create compelling visual narratives.
A standout portfolio is not built on the complexity of your code, but on your ability to solve specific business problems and deliver insights that a non-technical stakeholder can immediately understand.
Project 1: Retail Sales Performance & Inventory Forecasting
This project simulates a retail analyst’s workflow, focusing on monitoring KPIs and optimizing inventory levels. Using the “Superstore Sales” dataset found on Kaggle, you will learn to bridge the gap between transactional data and strategic business management.
Key Technical Focus
- Data Cleaning in Power Query: Retail datasets
