SQL for Data Science | Lecture 4: Data Analysis on Titanic Dataset (Select, Filter & Aggregates)

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Welcome to Lecture 4! Today, we stop building tables and start Analyzing Data. 🚀

In this session, we import the famous Titanic Dataset and simulate a real-world data analysis project. You will learn how to inspect metadata, handle missing values (NULLs), perform mathematical calculations, and write complex filters to answer business questions like "Who survived?" and "What was the average fare?"

This is the exact type of SQL work you will do in a Data Science job interview!

Topics Covered:
🔹 Data Inspection: SELECT, LIMIT, OFFSET & Viewing Metadata (Information Schema)
🔹 Handling NULLs: Finding and counting missing values in your data
🔹 Data Cleaning (DML): Updating records and Deleting invalid rows safely 🔹 Advanced Filtering: Using WHERE with AND, OR, IN, NOT IN, and BETWEEN
🔹 Feature Engineering: Creating new columns (e.g., Discounted Fare, Family Size)
🔹 SQL Math & Stats: Using Aggregate (SUM, AVG, STD) & Scalar Functions (ROUND, CAST)
🔹 Sorting & Ranking: Mastering ORDER BY to find top/bottom records
📂 Resources & Code:
Notes used:
https://drive.google.com/file/d/1kdDv3QDJCnG6hSR-ZExR7Ygzwgl1SRF7/view?usp=sharing
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Видео SQL for Data Science | Lecture 4: Data Analysis on Titanic Dataset (Select, Filter & Aggregates) канала Ajay Kumar Gupta