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This repository contains a SQL dataset of a music store and SQL queries to answer questions about the data. The results of the SQL queries can be found in the analysis.sql file. This repository can be used as a starting point for anyone who wants to learn how to use SQL to analyze data.
This project analyzes pizza sales data to gain insights into customer behavior and revenue patterns. Key analyses include customer insights, popular pizza types and sizes, revenue generation, and order trends. The findings help optimize menu offerings, staffing, and marketing strategies to boost overall business performance.
SQL Travel Booking Management System: Seamlessly manage bookings, transportation options, and customer data in this comprehensive travel management solution.
A thorough and comprehensive collection of SQL resources designed to enhance your expertise. Dive into interview preparation with Q&A, access detailed notes, and embark on thorough SQL projects with accompanying handbooks. Find quick references, insightful roadmaps, and a wealth of knowledge to elevate your SQL skills.
This project utilized Tableau, Power BI, and SQL to provide comprehensive insights into essential HR metrics and trends. Through visualizations and data analysis techniques, the dashboard empowered HR professionals to discern patterns and make informed, data-driven decisions. Thorough QA/testing ensured the accuracy and reliability of the reports.
Utilizing a combination of Excel, SQL, and Power BI, I delved into an extensive dataset comprising over 50,000 entries of pizza sales data from our business. Through meticulous data simplification and analysis, I uncovered compelling insights and illuminating trends about sales performance and customer preferences within the pizza market.
This is my first SQL project. I used clinical trial dataset. Here I have started from the start by learning: Designing a database, Creating table, Adding data to the table, Updating the column name, Altering the data in the table, Defining the questions that is needed to answer, Cleaning the dataset and Performing Exploratory Data Analysis.