This repository contains Power BI ⚡️⚡️⚡️ reports generated for Amazon, a supermarket dataset, and Coca-Cola sales data. Each report is stored in a separate file format (.pbix and .xlsx)⚡️⚡️⚡️.

This repository showcases a Power BI dashboard project that simulates Amazon’s global e-commerce performance monitoring. The solution provides a 360° business view of sales, profit, loss, and customer insights across products, regions, and market segments. With this dashboard, raw data is transformed into strategic insights.

This repository contains an analysis of Amazon sales data. The analysis is performed using a Jupyter Notebook that processes and visualizes the data from a CSV file.

This repository contains data related to Amazon UK sales from 2018 to 2021

This GitHub repository contains a Power BI dashboard for analyzing Amazon sales data. The project provides a comprehensive visual representation of sales data, enabling users to gain valuable insights and make informed business decisions.

This project involved a comprehensive analysis of Amazon sales data in India using Tableau The dashboard provided a granular view of sales performance across various dimensions like product categories, sizes, states, and shipping status Key features included interactive visualizations such as stacked bar charts, line charts, donut charts, and maps.

I’ve developed an interactive dashboard using Tableau that provides deep insights into Amazon’s sales across various states in India. This dashboard helps in understanding sales trends, regional performance, and the efficiency of different sales channels and shipping services.

This is an amazon sales report repository using the power BI.

This repository shows how to analyze extracted sales data on Amazon using Python

This repository is focused on analyzing the sales and reviews of books on Amazon in 2023. This project is part of the Database Modeling II course in the Bachelor's degree in Computer Science.

This repository provides a comprehensive Amazon sales dashboard for e-commerce businesses. It offers interactive visualizations and analytics to track and analyze sales performance, product trends, and customer behavior on the Amazon platform.

This repository contains a Power BI dashboard project that provides dynamic visual insights into Amazon's sales data.

Amazon Sales Analysis Project: Analyzing sales data from 2010 to 2017 using Excel and Power BI. Includes ETL processes, data modeling, and insights into product and regional sales trends. Repository contains datasets, documentation, and Power BI files.

Myself Misba Hudewale,this is my repository regarding Task-1 based on Amazon Sales Analysis as Business Intelligence Intern at VerveBridge.

This repository features a fully interactive Amazon Sales Dashboard, designed using Power BI, that provides a comprehensive, data-driven overview of Amazon's sales performance, profitability, and order trends. With the increasing importance of data visualization and real-time reporting in business environments.

This repository contains a fully interactive and visually insightful *Amazon Sales Dashboard* built using *Power BI*. The dashboard helps analyze and track global sales performance, profit, and quantity metrics by city, country, category, and region.

This repository presents a comprehensive analysis of Amazon sales data using Machine Learning models and a Power BI dashboard for insightful data visualization and analysis.

This repository contains data analysis and visualization projects, including an Amazon sales dashboard and Power BI dashboards. It showcases skills in using Excel Flash Fill for data transformation and calculating total sales to inform business decisions.

This repository contains insightful visualizations and analyses derived from Amazon's sales data of technology products in urban areas across the United States throughout the year 2019.

This repository contains the complete Power BI Visual used in the creation of a Power BI Dashboard of 2 page for Amazon Global Dashboard ( Year Wise Sales)

This repository contains SQL case study analyzing various aspects of Amazon's operations, including sales, customer data, product inventory, and more. The SQL queries and analyses provide insights into amazon's Business model, customer behavior, and operational efficiency

This repository contains an in-depth analysis of Amazon Sales Data using SQL 🚚📦.Whether you’re a data analyst, business strategist, or SQL enthusiast, this analysis offers a comprehensive look at e-commerce dynamics through the lens of Amazon’s vast sales data. Feel free to explore the queries and contribute to enhancing the analysis! 📊🚀

This repository contains a comprehensive data analysis project focused on Amazon sales data. The analysis was conducted by Lakpa Sherpa to gain insights into the business trends and customer preference

This repository contains analysis of Amazon India’s 2025 sales data, focusing on revenue performance, product categories, customer ratings, returns, payment methods, and regional trends, with insights visualized using Power BI.

This repository contains a data analysis project focused on Amazon retail sales data. It includes a Jupyter Notebook with analysis and insights, as well as the dataset for exploring product prices, ratings, and user reviews.

This Repository presents a Electronic Vendor Sales website which is pretty similar to real world websites like BestBuy or Amazon using: HTML, CSS, jQuery, BootStrap, Apache Server Php, Oracle, SQL DB version 11 and oci8 php add-on

This repository analyzes Amazon sales data using Python. It includes data cleaning, monthly trend analysis, and visualizations to uncover key insights like top-performing months and shipping preferences. Tools used: Pandas, Matplotlib, Seaborn. Ideal for e-commerce and business intelligence insights

This repository contains an analysis of a dataset with 128,976 records from Amazon sales. Using Python (Pandas, NumPy, Matplotlib, Seaborn), Power BI, PowerPoint, and Microsoft Excel, the project aims to uncover key trends and insights to inform business decisions through data cleaning, statistical examination, and visualization.

Repository featuring advanced EDA and Data Visualization projects. Focuses on cleaning complex datasets and performing statistical analysis to solve real-world problems and features end-to-end Exploratory Data Analysis (EDA) on diverse datasets, including Amazon Sales, IPL, Netflix, & Financial Credit Reports to derive actionable business insights

This repository contains Data analysis based on dataset of amazon sales. Data analysis has been done with the help of python libraries like PANDAS , NumPy for manipulating , cleaning the data. Using Matplotlib , pyplot libraries for data visualization. This Data analysis is to understand profit and loss of on particular crisis to improve business.