This project analyzes user engagement and subscription trends on the 365datascience platform, identifying key insights to guide strategic decisions in user retention and satisfaction.

Total Students: Total registered users

Total Courses: Number of available courses

Total Countries: Geographical reach of users

Average Course Rating: Aggregated course ratings

Course Metrics:

Relationship between rating and customer engagement (content hours watched).

Peak User Growth: Registrations peak in August, with Monday as the top sign-up day.

Purchasing Patterns: July and Thursdays show the highest purchases, indicating a mid-year buying trend.

Engagement Peaks: August sees the highest content consumption, with Tuesdays and Wednesdays as high engagement days.

Subscription Preferences: Users prefer the annual plan, indicating long-term learning commitment.

Geographical Insights: India leads in total students, while the US shows high engagement and purchase rates, with paid users investing more time in content.

Paid members in particular investing more time in content.

Higher average rated course tends to have more engagement.

Data Source: MS SQL Database

ETL: Power Query for data cleaning and transformation

Dashboard: Power BI for visualizations and reporting

Validation: SQL queries for cross-checking data accuracy