There are 2 repositories under data-analysis-sql topic.
A collection of SQL-based data analytics projects demonstrating techniques for data extraction, transformation, analysis, and visualization. These projects showcase practical SQL queries and insights across various domains, including sales, customer segmentation, and employee attrition analysis.
Examples of SQL queries created for Customer and Sales Data Analysis study project
Instagram user Analytics
Statistical analysis of healthcare dataset.
Supply chain dataset focused on analyzing key metrics in manufacturing or production.
An analysis of International Debt Data that was collected by World Bank. Has some interesting insights for decision-makers.
Deep dive analysis into Netflix's shows and movies library for content up until 2022 using PostgreSQL, Power Query, and Power BI (DAX, Visuals, and Dashboard). Led to potentially actionable insights regarding platform content.
In this project, I cleaned up a large FIFA 2021 dataset with 18,000+ player records. The data was messy, with inconsistencies in 77 columns. I focused on making the data consistent and usable for analysis. This repository documents my step-by-step process, demonstrating how I transformed the data into a clean format.
Here I will be uploading sql query sheets along with db for people to understand sql fro data analysis
SQL exercise solutions for SQLZoo and HackerRank - with explanations. MySQL dialect. Great for learning SQL and MySQL.
Exploring the global data on COVID-19 deaths and vaccinations
Call Center Performance Analysis: Data-driven project analyzing customer service metrics, sentiment, and regional trends to optimize call center operations and improve customer satisfaction.
My solutions to the #8WeekSQLChallenge
My attempt on solving Case studies from #8WeeksSQLChallenge
SQL script to create an Inventory Database with tables for Suppliers, Products, Customers, Orders, and Stock. Includes data insertion and table deletion.
By using SQL I executed detailed sales reporting, analyzing sales data to identify trends and patterns. This allowed me to provide actionable insights that optimized sales strategies, improved decision-making, and enhanced overall sales performance.
A comprehensive collection of SQL practice exercises from the SQL Fundamentals course, honing skills for an Associate Data Analyst role.
Digital Music Store Data Analysis using SQL
Walmart Sales Data Analysis using SQL
This is a SQL Data Analysis project based on a Food Delivery Case Study. It covers real-world analytical problem statements such as customer acquisition analysis, customer retention, top restaurant identification, and personalized marketing triggers.
MySQL-powered data analysis of sales performance metrics from 2014-2017, focusing identifying key trends in product sales, regional performance, and profitability through comprehensive data-driven insights and recommendations.
Data-driven project focusing on optimizing content strategy and user engagement through hashtag analysis, user influence metrics, and regional content preferences.
Analýza mezd, cen potravin a HDP v České republice a Evropě pomocí SQL
Student Mental Health Analysis Based on Length of Stay
📊 This project analyzes sales, inventory, and customer data from an online book store using SQL queries. The goal is to extract business insights to improve stock management, pricing strategies, and customer targeting.
Analyzing Netflix data
📊 An in-depth SQL analysis of Netflix data using PostgreSQL — uncovering insights on movies, TV shows, genres, and global content trends.
This Supply Chain Analysis project uses Power BI to explore cost, logistics, production, and performance data for a fashion and beauty startup. It identifies key operational inefficiencies and provides interactive dashboards to support data-driven decision-making and profitability improvement
Hospital data Analysis using SQL
MySQL analysis of ecommerce sales data
Rakesh Men's collection of SQL-based data analysis projects showcasing query skills, insights extraction, and data-driven decision-making.
The Sample Super Store Project is a data visualization and business intelligence project aimed at analyzing sales data to derive actionable insights for decisionmaking. Using Power BI, this project visualizes KPIs such as sales, profit, discount, customer segments, geographical distribution, and product categories.
Task 4 of my Data Analyst Internship (ELEVATE LABS): A complete SQL-based data analysis project using an eCommerce dataset. Includes relational queries, JOINs, subqueries, views, indexing, and aggregate functions using SQLite.