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! ππ
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Updated
Aug 29, 2023
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! ππ
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.
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.
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 fictΓcio que nΓ³s usamos como base de dados, nesse projeto foi usado o Excel para a anΓ‘lise e criação do Dashboard.
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.
Analyzing Real time food ordering data using Excel!
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
Simple VBScript Module/Class to use Persian Date in Microsoft Excel Workbooks
The amount of co2 emission from human activity (coal, burning of fuel, gas) starting from the 1800's up to 2019.
In our Zomato dataset journey π½οΈ, we've refined data to its peak. Using Excel π and Python π, we meticulously cleaned restaurant names with regular expressions π, ensuring authenticity. Our 'zomatocleaned.csv' now captures the true dining essence π΄, showcasing our commitment to culinary precision π¨βπ³.
Comparing the most & least popular Nike & Adidas shoes of 2020
This project consist of a dataset of a call center which is to be analyze for the insights of the center so that they can improve on their current position and report the findings using dashboard presentation.
In this project, I developed a model to predict the winner of FIFA World cup 2022, and built an interactive dashboard using Power BI.
Analysis of Kickstarter data to discover trends using Microsoft Excel.
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