Advanced SQL analytics project extending prior EDA work. Includes change-over-time, cumulative trends, performance benchmarking, segmentation, part-to-whole analysis, and customer/product analytical reporting using window functions and real-world data warehouse logic.

📚 An End-to-End Advanced SQL Project covering Data Warehousing, ETL Pipeline (Bronze → Silver → Gold), Star Schema Modeling, EDA, and Advanced SQL Analytics. Built using PostgreSQL, this project simulates a real-world Data Engineering + Data Analytics workflow using raw ERP & CRM data to generate production-ready customer and product insights.

Data Analytics Test Project - Developed in SQL | Swocase advance Window Functions | Answer real business questions

This is an advance data analytics project focusing on data cleaning using python , data manipulation using postgre sql and data visualization using power bi

This project handled learning advance SQL with big queries public dataset for advance concept in SQL JOINs and UNIONs Combine information from multiple tables,Analytic Functions, Nested and Repeated data, Writing Efficient Queries

Discover a range of comprehensive data analytics projects featuring SQL, Python, and Power BI. Uncover insights and tackle real-world challenges through data extraction, analysis, and visualization. Perfect for both beginners and professionals aiming to advance their data analytics expertise.

Music Store Data Analysis is end-to-end SQL project that will help you to learn, understand and advance their analytical skills for data analyst role. Questions involve deep SQL skills at all levels: Easy, Medium and Hard.

Advance_DataAnalytics_Proejct_E_Commerence_Sales_Data

No description available

This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.

No description available

Advanced analytics project using SQL to perform segmentation, performance tracking, ranking, and trend analyses on structured datasets.

Performing Exploratory Data Analysis (EDA) and Advanced Analytics techniques to uncover actionable insights from data.

A collection of SQL projects ranging from beginner to advanced, covering data modeling, analytics, optimization, and big data use cases using PostgreSQL.

Advanced SQL Data Analytics Project

An SQL-based project analyzing customer, product, and sales data to generate insights through segmentation, performance evaluation, and time-based trends. Includes scripts for database creation, exploratory analysis, and reporting.

No description available

No description available

Applied Advance SQL concepts to answer complex data analytics questions based on database which resembles an Instagram like database. Concepts used-window, grouping, and subqueries to gain insights

SQL-Advance-Data-Analytics-Project- This project demonstrates advanced SQL-based data analytics techniques used to transform raw data into actionable business insights. The objective was to design a structured analytical workflow — starting from data ingestion to generating customer and product performance reports — using pure SQL.

A collection of SQL scripts for data exploration, analytics, and reporting. These scripts cover analyses such as database exploration, measures and metrics, time-based trends, cumulative analytics, segmentation etc. It contains SQL queries to help data analysts and BI professionals quickly explore, segment, and analyze data in a relational database

No description available

No description available

No description available

No description available

Advanced SQL analytics using gold-layer data from a Medallion Architecture warehouse. Includes customer/product analysis, segmentation, ranking, and time-based reporting using complex SQL queries.

A hands-on SQL project simulating data analysis using fact and dimension tables, covering trends over time, cumulative metrics, performance breakdowns, segmentation, and reporting via SQL.

No description available

In this project, I have done Exploratory Data Analysis (EDA), Trend Analysis, Ranking & Segmentation, Cumulative & Part-to-Whole, Business Reporting.

This project is about exploring and analysing datas using SQL