Explore data insights, enhance decisions, and uncover trends with the Bike Sales Analysis project. Harness Excel's power for data cleaning, processing, analysis, visualization, and strategic insights.

This project was taken up to know how much people are subscribed on Udemy which is considered to be the most popular online education platform, to know which courses the students pay more money for which might give an insight to what part of education, learning or business the population are heading towards.

Uncover trends by cleaning, processing, and analyzing Trend Store data. Share insights through clear reports and visuals. Data's the treasure, insights are the gold! 📊🔍

A complete Bike stores data analysis project using SQL and Microsoft Excel.

Create a my personal expense dashboard of 2021-2022 using Microsoft Excel

O objetivo desse projeto foi de criar um Dashboard de Vendas com a perfomance principal dos indicadores do e-commerce fictício que nós usamos como base de dados, nesse projeto foi usado o Excel para a análise e criação do Dashboard.

This Repository details the number of worldwide country deaths being caused by malaria. Calculations will be made by age group, per 100,000 individuals for each country.

The purpose of this analysis is to bring to the consciousness of the stakeholders how bad the pandemic has been. Now to Stakeholders, who are they? Our stakeholders in this case study is the general topic. Anyone interested in understanding the spread of the global pandemic. This project was made in the fulfilment of #30daysoflearning data analysis

I chose 'AdventureWorksLT2019.bak' and 'AdventureWorksLT2017.bak' data for analysis & visualization. The query editing was done in 'Microsoft SQL Server Management Studio' and the visualization part was using 'Microsoft Power BI'. Also for analysis, I used MS Excel and PowerBI's query tool.

The amount of co2 emission from human activity (coal, burning of fuel, gas) starting from the 1800's up to 2019.

Microsoft Excel

MSCI100 Term Project

In our Zomato dataset journey 🍽️, we've refined data to its peak. Using Excel 📈 and Python 🐍, we meticulously cleaned restaurant names with regular expressions 🔍, ensuring authenticity. Our 'zomatocleaned.csv' now captures the true dining essence 🍴, showcasing our commitment to culinary precision 👨‍🍳.

Analysis of Kickstarter data to discover trends using Microsoft Excel.

Visual Basic for Applications (VBA) using Python and Microsoft Excel.

All the stuff related to MATHS and GOD........ it's hard xp

This data analysis project focused on examining Covid-19 vaccine data up to December 31, 2023, to extract valuable insights and trends using Microsoft Power BI.

Comparing the most & least popular Nike & Adidas shoes of 2020