How I analysed 1M+ global loans using only SQL

1. 1Import a large dataset like the World Bank loans into a SQL database
2. 2Write SQL queries to clean and preprocess the data
3. 3Use SQL aggregation functions to analyze debt behavior across different regions and countries
4. 4Visualize the results using SQL querying tools or external visualization libraries
5. 5Optimize database queries for performance to handle large datasets like 1M+ rows

Data analysts and scientists can benefit from this tutorial to improve their SQL skills and apply them to real-world problems, while data engineers can learn how to optimize database queries for large datasets

💡 SQL can be a powerful tool for data analysis, even with large datasets, by leveraging aggregation functions and optimization techniques

📊 Analyze 1M+ global loans with SQL! 🌎 Learn how to uncover debt behavior insights with simple yet powerful SQL queries 💡