End-to-End Data Analyst Project | Student Learning Analytics System (ETL + SQL + Python)

🚀 End-to-End Data Analyst Project | Student Learning Analytics System In this video, I’ve built a complete **real-world data analytics project** from scratch using **Python, SQL, ETL pipelines, and dashboards**. This project simulates how student performance data flows from raw sources → processed → stored → visualized for decision-making. 👉 If you’re preparing for **Data Analyst / Business Analyst roles**, this is the kind of project that actually matters. --- ## 🧠 What You’ll Learn ✔ How to design an **ETL pipeline (Extract → Transform → Load)** ✔ How to load data into **PostgreSQL database** ✔ How to work with **JSON + Google Sheets data sources** ✔ How to write **analytical SQL queries** ✔ How to build a **reporting layer / dashboard-ready dataset** ✔ How real-world data projects are structured --- ## 🛠️ Tech Stack Used * Python (ETL + Data Processing) * PostgreSQL (Database) * SQL (Analytics Queries) * Google Sheets API (Data Source) * Power BI / Looker Studio (Visualization) --- ## 📂 Project Resources 🔗 GitHub Repository: 👉 https://github.com/shubhamringole/Student-Learning-Analytics-System 📁 Dataset & Files (Google Drive): 👉https://drive.google.com/drive/u/0/folders/1iwy4QLAGwN2jXMespojEQpjZRx8eIdk6 --- ## ⚙️ Project Architecture * Extract → JSON / Google Sheets * Transform → Python (Data Cleaning & Structuring) * Load → PostgreSQL * Analyze → SQL Queries * Visualize → Dashboard --- ## 🎯 Who is this for? * Data Analyst Aspirants * Business Analyst Candidates * Beginners in Data Engineering * Anyone tired of only watching tutorials --- ## 🔥 Why this project matters Most people: ❌ Watch tutorials ❌ Copy code ❌ Build basic projects But companies expect: ✅ End-to-end thinking ✅ Real data handling ✅ Problem-solving This project shows exactly that. 0:00 Introduction 1:50 Project Overview & Problem Statement 5:36 Pipeline Flow Diagram 8:02 Downloading PostgreSQL 15:31 Setting up JSON Data Sources 43:34 Loading Data into PostgreSQL 57:25 Automating with Google Sheets & GCP 1:10:03 Data Transformation & Modeling 1:28:21 Building the Reporting Layer (Python) 1:43:16 Consolidating into Main Script 1:49:18 Pushing to GitHub & Conclusion --- ## 📢 Follow “The Analyst Mind” If you want **real projects + career-focused content**, subscribe now. --- ## 💬 Let’s connect Drop your questions in the comments — I reply to serious learners. --- #DataAnalytics #DataAnalyst #ETL #SQL #Python #PowerBI #Projects #Portfolio