https://github.com/mohit01chugh/edu_sql_analysis
SQL queries used to analyze student data.
https://github.com/mohit01chugh/edu_sql_analysis
data-analysis database education plpgsql postgresql sql
Last synced: about 1 month ago
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SQL queries used to analyze student data.
- Host: GitHub
- URL: https://github.com/mohit01chugh/edu_sql_analysis
- Owner: mohit01chugh
- Created: 2025-03-06T11:45:25.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-06T12:31:15.000Z (over 1 year ago)
- Last Synced: 2025-03-14T19:02:47.697Z (over 1 year ago)
- Topics: data-analysis, database, education, plpgsql, postgresql, sql
- Language: PLpgSQL
- Homepage:
- Size: 2.05 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
📊 **Situation:** Understanding Student Success Is Key
Fueled by the "student_information" database 📚, an educational platform holds a wealth of data about student learning journeys. However, stakeholders 👥 are facing challenges in translating this data into actionable insights about student performance 📈, topic effectiveness 📝, and resource allocation 💰.
🔍They need to understand how to support student success best and optimize the learning experience.
🎯 **Task:** Unlocking Data-Driven Decisions
The goal is to analyze the data 🔬 to reveal patterns in student distribution 🗺️ across grades and locations, identify challenging topics 🤯, and understand performance trends 📊.
This analysis will empower stakeholders to make informed decisions 💡 about curriculum adjustments, resource allocation, and targeted student support.
💻 **Action:** SQL as a Tool for Discovery
Using SQL queries ⌨️, we will delve into the "student_information" database, specifically tables like:
date_date 🗓️ || city_region 🏙️ || topic_topic 📝 || student_topic 🤝 || student_student 🧑🎓
We will analyze student demographics 🧑🎓, topic interactions 🤝, and performance metrics 💯, generating data visualizations 📈 and reports 📄.
An ER-Diagram 🔗 will be used to visualize the relationships between tables.
✅ **Result:** Transforming Data into Actionable Insights
**The analysis reveals key trends:**
**1.** Student enrollment is highest in Grade B and relatively even across all grades. 📊
**2.** Student enrollment is heavily concentrated in major US cities like New York, Los Angeles, and Chicago. 🏙️
**3.** Statistics, Economics, and Data Science are the most challenging topics. ⚠️
**4.** Grades A and B offer a wider range of topics. 📚
**These insights lead to actionable recommendations for**:
**1.** Improved resource allocation 💸.
**2.** Targeted student support 🤝.
**3.** Curriculum adjustments to address challenging topics. 📝
**4.** Ultimately, this project empowers stakeholders to make data-driven decisions that enhance student success. 🎉 📣