🏁 SQL for Data Analysis — Kaggle Course Completion

This repository contains my notes, code, and learnings from the "Intro to SQL" course on Kaggle. The course provides a strong foundation in using SQL for exploring and analyzing large datasets.

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✅ Course Completion

I have successfully completed all six lessons in the course, including both tutorials and exercises:

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📘 What I Learned

• Writing basic SQL queries using SELECT, FROM, and WHERE
• Aggregating data using GROUP BY, HAVING, and COUNT
• Sorting results with ORDER BY
• Structuring complex queries using Common Table Expressions (WITH)
• Joining multiple tables using JOIN
• Querying large datasets using BigQuery efficiently

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📌 Next Steps

Now that I’ve completed this course, I plan to:

• Explore more advanced SQL topics (window functions, subqueries, optimization)
• Apply SQL to real-world datasets for exploratory analysis
• Combine SQL with Python in data science workflows

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🏅 Certification

You can view or verify my Kaggle profile ![Course Progress Screenshot]

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