EduPro Analytics: An Analytical Framework for Understanding Learner Behavior, Enrollment Trends, and Course Performance in Online Learning Platforms
Year: 2026
Type: article
Abstract: This research presents EduPro Analytics, a Streamlit-based educational analytics platform designed to analyze learner demographics, enrollment trends, course performance, and revenue insights within online learning environments. The platform integrates learner, course, and transaction datasets and applies exploratory data analysis techniques to generate actionable business intelligence through interactive dashboards and visualizations. The study demonstrates how data-driven decision-making can improve educational outcomes, optimize course offerings, enhance learner engagement, and support strategic planning for educational institutions and EdTech organizations. The project was developed using Python, Pandas, NumPy, Plotly, and Streamlit. Keywords: Learning Analytics, Educational Data Mining, Streamlit, Python, Data Visualization, Enrollment Analysis, Course Performance Analysis, Business Intelligence, EdTech Analytics.
Author: Vennampalli, Rishi Saran
Institution: Malla Reddy University
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7162937829
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