The Motive of this project is to analyze FIFA World Cup Data,we have the data from 1930 to 2014. The data we have is separated by Matches ,Players and Cup Holders since 1930 to 2014. Lot of Analysis has been done with nice Visualizations to understand the pattern and to get insights from data.
The aim of this case study was - to identify patterns if a client had difficulty paying their installments, to ensure customers capable of repaying the loan are not rejected and to understand how consumer or loan attributes influence the tendency of default.
TODO - The obective of this case study was to model the demand for shared bikes with the available independent variables. It would be used by the management of 'Boom Bikes' to understand how exactly the demands vary with different features. They would accordingly manipulate the business strategy to meet the demand levels and customer's expectations.
To Do - We have the data for the 100 top-rated movies from the past decade along with various pieces of information about the movie, its actors, and the voters who have rated these movies online. In this assignment, we will try to find some interesting insights into these movies and their voters, using Python.
To Do - The aim of this project is to analyse the data with respect to the sales and profit after filtering some of the columns.The Global Superstore is a retail dataset which contains an excel file with three sheets named as 'Orders', 'People' and 'Returns' over 4 years starting from 2012 till 2015 , covering orders of 147 countries around the world.
This holds all of my Microsoft Power BI Dashboards.
This holds all of my Tableau dashboards.