Found 8 repositories(showing 8)
DEVIL6911
🔍 Walmart Sales Data Analysis using SQL This project explores sales data from Walmart stores using MySQL. It covers data cleaning, time-based insights, product performance, customer behavior, and revenue trends — all through powerful SQL queries.
bidishabhkata
Performed sales data analysis on Walmart's transactional data using MySQL — extracted revenue trends, customer behavior, and product insights through feature engineering and advanced SQL queries.
simran98solanki
This project focuses on the comprehensive analysis of the Walmart sales dataset through MySQL. The primary objectives are data cleaning and exploratory data analysis (EDA) to extract actionable insights and uncover significant trends.
Siddaling1
End-to-end Walmart Sales Data Analysis project using MySQL, Python, and Power BI to analyze store performance, seasonal trends, and the impact of economic factors through an interactive business dashboard.
valerijarudjko
This project delivers an end-to-end analysis of Walmart’s sales data using SQL (MySQL & PostgreSQL) and Python, with a focus on data cleaning, transformation, and business insight generation. It addresses key business questions through complex queries, structured analysis, and optimised workflows.
A comprehensive sales performance analysis of Walmart stores using advanced MySQL queries. The project explores customer behavior, product profitability, and operational trends to provide actionable business insights through SQL-based data analysis, visual presentations, and a concise video explanation.
darktornedo
A data analysis project on Walmart sales data using Python, MySQL, and Excel. The dataset was cleaned and transformed in Jupyter Notebook using pandas, connected to MySQL via SQLAlchemy, and analyzed through SQL queries to uncover key business insights on sales, profit, branches, and customer behavior.
vepadavenkatesh
This project develops an end-to-end data pipeline to analyze Walmart sales data, implementing ETL processes using MySQL databases. Data processing is handled using Python, with SQL queries applied for in depth business analysis. Key insights are presented through an interactive Power BI report, showcasing a complete data analytics solution.
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