Udemy Courses Analysis Dashboard

Key Metrics Analyzed
Overview & Objectives
Project Goal
Build a clear Power BI dashboard that helps users explore Udemy course performance, compare subjects, understand revenue trends, and identify popular courses.
The Business Problem
My Approach
- 1I cleaned and prepared the Udemy course dataset.
- 2I created Power BI measures for total courses, total lectures, total revenue, total reviews, subscriber counts, course revenue, and subject performance.
- 3I designed dashboard pages for course overview and revenue performance analysis.
- 4I added visual comparisons by course, subject, level, year, month, revenue, subscribers, lectures, reviews, and course price.
Roadmap Execution
Data Preparation
Cleaned and prepared the Udemy course dataset for analysis.
Data Modeling
Created the Power BI data model for courses, subjects, levels, months, prices, subscribers, reviews, lectures, and revenue.
DAX Development
Built measures for total courses, total lectures, total revenue, total reviews, subscribers, monthly revenue, and subject-level revenue.
Overview Dashboard
Designed the overview page with key metrics, popular courses, paid versus free courses, yearly publishing trends, subject distribution, and lecture details.
Revenue Analysis
Created revenue visuals for top courses, subjects, course levels, monthly revenue, course price distribution, and subscriber relationship analysis.
Final Formatting
Formatted KPI cards, bar charts, line charts, pie charts, tables, and scatter plots for clear Udemy course reporting.
Key Features
Business Impact
Challenges Overcome
- Combining courses, subjects, prices, subscribers, reviews, lectures, levels, and revenue into one dashboard
- Making course performance easy to understand
- Showing revenue trends clearly by month and subject
- Comparing popular courses by subscribers, reviews, and revenue
- Designing simple visuals for online learning business analysis
Final Outcomes & Learnings
- The final dashboard gives a clear view of Udemy course performance, subject distribution, revenue trends, course popularity, price distribution, and subscriber behavior.
- Users can quickly identify the most popular courses, top revenue courses, highest-performing subjects, revenue by levels, and monthly revenue trends.
Project Gallery & Screenshots


Technologies Used
Data Sources
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