SAMPLE PROJECT PART - 4 | SQL QUERIES | STRING AGGREGATIONS | CTE | WINDOW FUNCTIONS| DATA ANALYSIS

This video continues the SQL analytics series by solving Questions 6 to 10, where the focus shifts from basic querying to logic-heavy, interview-level SQL problems.

All questions are solved on cleaned, real-world datasets, and the emphasis is on why a query is written a certain way, not just what the final output looks like.

What this video covers:
Identifying palindrome city names using string functions
Formatting numeric outputs (population with thousands separators)
Case-insensitive filtering and pattern matching pitfalls
Using CTEs to structure complex logic cleanly
Determining odd vs even values from aggregated data
Ranking within groups using window functions without LIMIT or OFFSET
Extracting the bottom third of results using row numbers and total counts
Handling many-to-many relationships (languages and currencies per country)
Aggregating multiple values into a single field using STRING_AGG

These questions simulate the kind of SQL problems where conceptual clarity matters more than memorization — especially in analytics interviews and real project work.

Series Context:

Part 1: Dataset understanding and structure
Part 2: Data cleaning using Python Pandas
Part 3: SQL fundamentals (Q1–Q5)
Part 4: Advanced SQL logic and analytics (Q6–Q10)

Who this video is for:
Data Analyst aspirants aiming to level up SQL
Learners comfortable with basics but stuck on complex logic
Anyone preparing for SQL interviews or analytics case rounds
People who want to see how SQL is actually used on real datasets

This part is intentionally slow, logical, and detail-oriented to build long-term SQL intuition rather than short-term answers.

If this helps, the next parts will go deeper into edge cases, optimization, and analytical thinking using SQL.

Видео SAMPLE PROJECT PART - 4 | SQL QUERIES | STRING AGGREGATIONS | CTE | WINDOW FUNCTIONS| DATA ANALYSIS канала Ayush Saraf