Analysis of the Sakila DVD Rental database using SQL

Analysis and comparison of the local and global temperature trends

Uncover market trends and determine commonalities for successful campaigns by transforming and analyzing data from over four thousand past Kickstarter projects.

I have completed some MS Excel Course. This repository contains all the excel files (practice and exercises solutions by me) which were provided as Homework's or as hands on practice in course section.

This project analyzes Kickstarter campaign data. Demonstrates use of Advanced Microsoft Excel skills including: conditional formatting, pivot tables, formulas, and charting.

analysis of Sakila dvd rental database using sql

This file contains advanced excel formulas and functions like Vlookup with match function, index and match function, offset & counta, logical operators, max if function, formula formatting, text functions, Date and time functions, data cleaning, etc. which I have worked on to take my excel skills at the high level.

Data analyses and visualizations of Kickstarter Campaigns using Excel. UT Austin Bootcamp homework assignment.

This repository consists of all the projects done by me under the field of Data analysis.

This repository shows my Data Analysis Projects

Performing analysis on Kickstarter data to uncover trends.

Excel, SQL, Python, and ML projects

Duke University project: Data analysis in Excel (statistical analysis)

This project provides a system for keeping accurate track of the credentials attached to an employee in a man-power driven service providing organization. This system ensures the most suitable employees are always called up for job assignments.

You can find all the Excel Projects that I have worked on in here. Thanks for viewing

Performing analysis on Kickstarter data to uncover trends using advanced excel.

This project consists of an excel dashboard on the Super Store data. Along with the dashboard, it tries to answer a few business problems in a report created on a separate worksheet.

Housing value predictive model (Using US official datasets to build predictive model by using excel)

Using VBA, analyzing one year of stock data