Advanced Sql Interview Questions that covers topics like CTE, Analytics Window Functions, Aggregation Functions, Subqueries these topics will help you to boost your interview questions

Faasos (now Rebel Foods) is a popular Indian food delivery company. It started as a restaurant chain, then shifted online. They offer affordable meals, diverse cuisines, and efficient delivery. Rebel Foods operates multiple brands, using technology to enhance the food delivery experience.

Documenting and applying advanced SQL techniques for filtering, transforming, summary stats and reporting on data

sql data analytics project for exploring and analyzing relational data—check tables, calculate metrics, spot trends, and create segments. Ideal for analysts and BI users: run the examples, learn the patterns, and adapt queries to your own database.

To get acquaintance of me

Advanced SQL project focused on data-driven decision making.

Analytical SQL on a 3-year retail dataset — window functions, cohort retention & RFM, with a runnable SQLite database.

My-sql practice questions according to topic wise and interview questions

Structured practice and projects to master SQL from basics to advanced.

End-to-end SQL analysis of a Real Estate dataset covering data cleaning, market trends, buyer behavior, affordability, and business insights.

This is a repository for ORACLE-SQL-DB which has dataa on the tests i worked on to manipulate databases using SQL-Server.

A beginner-friendly repository containing well-structured SQL notes, examples, and explanations to help students and developers understand Structured Query Language (SQL) concepts from scratch.

SQL (Structured Query Language) is the standard language for managing and querying relational databases. It allows you to define structures, insert and update records, join tables, aggregate data, and build complex reports. Mastering SQL is essential for data analysis, reporting, and backend development.

A curated collection of SQL scripts for data exploration, analytics, and reporting. Includes practical queries for database exploration, KPI and metric calculations, time-series analysis, cumulative analytics, customer segmentation, trend analysis, and business reporting to help generate actionable insights from relational databases.

Contained course material about advance MySQL function.

In this project,12 tables used to answer many questions about datas from easy level to advance level.Join,temporary tables,CTE and window functions are used.

SQL analytics project on Swiggy restaurant data using CTEs, Window Functions, DENSE_RANK, NTILE, and Aggregations to analyze restaurant performance, customer engagement, pricing trends, and city-wise business insights.

SQL Exercise Repository - Sharpen Your Skills!