Project overview
In this project, you’ll step into the role of a business intelligence analyst at Dataquest. You’ll build a Power BI app that analyzes course quality data, including lesson completion rates and Net Promoter Score (NPS), to help the company identify which courses need improvement.
You’ll import data from multiple CSV files, build a relational data model, and design a multi-page report with KPI visuals, line charts, and scatter plots. Drawing on your analysis, you’ll write a data-driven recommendation for the five courses to prioritize, then publish the report to Power BI Service as a shareable app.
Objective: Build a Power BI app that surfaces course quality metrics and delivers an actionable recommendation on which Dataquest courses to improve.
Projects steps
Step 1: Analyzing Course Performance
Step 2: Importing and Exploring the Data
Step 3: Create the Data Model
Step 4: Lesson Completion Rate
Step 5: Net Promoter Score - NPS
Step 6: Make a Recommendation
Step 7: Publish to Power BI Service
Step 8: Next Steps
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