The project involved the development of an interactive Student Activity Monitoring Dashboard designed to provide insightful analytics for educators. By leveraging Power BI, SQL, BigQuery, and Python, the dashboard aimed to enhance academic insight and facilitate effective student engagement monitoring.

The dashboard consisted of various components tailored to offer comprehensive academic insights:

Last Login Timestamps: Provided a gauge of student engagement frequency.

Completed Courses Overview: Tracked students' academic achievements.

Quiz Submissions Analysis: Identified comprehension levels and learning patterns.

Course Completion Progress Tracker: Monitored academic trajectory to gauge progress.

The dashboard empowered educators by:

Enabling timely intervention for students showing signs of disengagement.

Crafting personalized support strategies based on individual learning data.

Motivating students through visualizing accomplishments and progress.

A user-friendly interface was designed for easy navigation, ensuring accessibility across various devices for remote learning environments. The focus remained on enhancing the overall learning experience and contributing to academic success.

Power BI: Utilized for data visualization.

SQL: Employed for database querying.

BigQuery: Utilized for data warehousing.

Python: Utilized for data processing.

The project aimed to provide educators with actionable insights to support student success effectively, ultimately enhancing the overall learning experience and contributing to academic achievement. Through the development of an interactive dashboard, educators were equipped with the tools necessary to monitor student engagement, identify areas for improvement, and implement personalized support strategies.