Transfermarkt Process for UiPath - Excel Data Analysis and Web Automation
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Updated
Dec 28, 2024
Transfermarkt Process for UiPath - Excel Data Analysis and Web Automation
This project analyzes the IMDB movie dataset using Excel and Tableau, exploring trends in genres, ratings, budgets, and revenues through data cleaning, statistical analysis, and visualizations.
GEN-Z SURVEY DASHBOARD
"Machine Downtime Dashboard" Using power BI
Analyzing hiring trends, salary distribution, and rejection rates using Microsoft Excel and Tableau. Includes a Tableau KPI dashboard and Excel-based insights for data-driven hiring decisions.
Reconciliation Process for UiPath - Excel Data Analysis and Web Automation
Comprehensive coffee sales analysis leveraging Excel functions, Pivot Tables & Slicers. Covers sales trends (2019-2021), top customers, country-wise revenue, and growth insights with a dynamic interactive dashboard.
An in-depth analysis of IPL data to explore team performance, player statistics, and match trends. Features visualizations and insights to uncover key factors influencing match outcomes and tournament success.
Vrinda Store analysis and Dashboard using Advanced Excel
Created a sales dashboard in Excel using Power Query and Power Pivot is a powerful and efficient way to manage and analyze large datasets. Both tools allow users to process and visualize data more effectively than traditional Excel methods.
A Root Cause Analysis of an eCommerce company, Northwind Trading, where sales figures has shown a downward trend for the last month and the company also noticed that several customers posted negative comments on social media about the online store.
Excel Reports Consolidation Process for UiPath - Excel Data Analysis
This Excel dashboard project focuses on road accident data, aiming to create a user-friendly visual summary of accident details, severity, and weather conditions. The dashboard provides quick insights for informed decision-making and analysis in the context of road safety.
This project explores the data science job market, revealing correlations between skills, job roles, regions, and salaries. Leveraging Excel’s Power Query, PivotTables, DAX, and charts, it highlights high-paying skills like Python and SQL. These insights aim to guide data professionals toward in-demand skills for competitive career growth.
This repository showcases projects and examples that demonstrate skills in data manipulation, pivot tables, and data-driven decision-making using Microsoft Excel. It includes hands-on projects focusing on data cleaning, analysis, and visualization techniques aimed at solving real-world problems.
Mac Donald's Sales Analysis and Dashboard using Advanced Excel
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