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.
What You'll Learn
- ✓ Create reports and dashboards in Power BI
- ✓ Create and publish a Power BI app
- ✓ Make a recommendation based on data
Project Steps
8 steps
- 1 Analyzing Course Performance
- 2 Importing and Exploring the Data
- 3 Create the Data Model
- 4 Lesson Completion Rate
- 5 Net Promoter Score - NPS
- 6 Make a Recommendation
- 7 Publish to Power BI Service
- 8 Next Steps
Join 1M+ data learners on Dataquest.
- 1
Create a free account
- 2
Choose a learning path
- 3
Complete exercises and projects
- 4
Advance your career