There are 2 repositories under data-analysis-sql topic.
Examples of SQL queries created for Customer and Sales Data Analysis study project
Instagram user Analytics
Statistical analysis of healthcare dataset.
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.
Supply chain dataset focused on analyzing key metrics in manufacturing or production.
This repository has a set of projects and exercises that showcases my skills as a Data Professional, who is comfy in data analysis and science using MS SQL, MS EXCEL, TABLEAU, MS POWERBI and PYTHON.
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
All solutions to SQLZoo exercises and quizzes, with explanations. MySQL dialect.
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
Data analysis project for Career Foundry. The client - Rockbuster Stealth - is a company that provides movies and TV services, and they are looking to offer a new product..
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.
This project explores video game sales data from 1977 to 2020 using PostgreSQL
The COVID-19 Data Analysis Project aims to analyze and gain insights from the vast amount of data collected during the global COVID-19 pandemic. Leveraging SQL, the project involves designing a database schema, extracting relevant data, and conducting a comprehensive analysis to uncover patterns, trends, and correlations related to the impact
The housing SQL data undergoes ETL (Extract, Transform, Load) processes to integrate and process the information. The data is extracted from various sources, transformed to ensure quality, and loaded into a SQL database. This enables data-driven decision-making in the real estate industry, providing insights into housing trends and property values.
A comprehensive collection of SQL practice exercises from the SQL Fundamentals course, honing skills for an Associate Data Analyst role.
The Spotify Data Analysis Project is a comprehensive data analysis project that aims to extract insights from a Spotify dataset using SQL. The project involves working with a denormalized dataset, normalizing it, and then performing various SQL queries to extract meaningful insights.
Digital Music Store Data Analysis using SQL
Walmart Sales Data Analysis using SQL
Analysis of Covid-19 related deaths and vaccinations using SQL
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.
Student Mental Health Analysis Based on Length of Stay
Hospital data Analysis using SQL
SQL Challenge