SQL Runtime without any database
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.
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.
Supply chain dataset focused on analyzing key metrics in manufacturing or production.
SQL exercise solutions for SQLZoo and HackerRank - with explanations. MySQL dialect. Great for learning SQL and MySQL.
An analysis of International Debt Data that was collected by World Bank. Has some interesting insights for decision-makers.
Rakesh Men's collection of SQL-based data analysis projects showcasing query skills, insights extraction, and data-driven decision-making.
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
Disney+ StreamLens is a data analysis project focused on the Disney+ catalog. It features a full preprocessing pipeline—handling missing data, feature engineering, and cleaning—followed by EDA to uncover key insights into content distribution, release trends, audience ratings, and genres.
End-to-end data analysis and AI workspace using SQL, Excel, Python, Power BI, and GenAI
Resources for Data Science, Machine Learning (ML) and Artificial Intelligence (AI)
SQL-based end-to-end analysis of 100K+ e-commerce orders (Olist dataset), covering revenue growth, logistics performance, and RFM customer segmentation to drive business insights.
Automated extraction of public educational statistics from the Community of Madrid.
Data Analysis base knowledge and practical applications
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