Internship Project
Since 2008, guests and hosts have used Airbnb to expand on travelling possibilities and present more unique, personalized way of experiencing the world. This dataset describes the listing activity and metrics in Amsterdam, Netherland for 2019. Content This data file includes all needed information to find out more about hosts, geographical availability, necessary metrics to make predictions and draw conclusions.
The objective of the project is to perform data visualization techniques to understand the
insight of the data. This project aims to apply
Exploratory Data Analysis (EDA) using Python
and
Business Intelligence tools
such as Power BI
to get a visual understanding of the data.
A cryptocurrency is a digital or virtual currency that is secured by cryptography.The project is the analysis of different types of cryptocurrency.Aim of the project is to perform
Exploratory Data Analysis (EDA) in Python, Forecasting and creating Dashboard in Power BI
Developed a Ecommerce Data Analysis project by performing the actions are: Build a Database. cleaned and done Exploratory data analysis in SQL.Visualize Data in Power BI and created dashboard report
Data Cleaning is a big part of Data Analysis Project which Data analyst do. So thats why i tried to Perform data cleaning in Housing data using SQL Queries.In this project we clean a housing data in SQL Server.
Project is based on a computer hardware business which is facing challenges in dynamically changing market. I Created this Data Analysis Project Using
sql to perform Exploratery anslysis and Creating Dashboard report Using Power BI
Developed a Hotel Booking Data Analysis project by performing the actions are 1. Build a Database, 2. Analyze and retrieve data with SQL, 3. Connect Power BI to a database, 4.Visualize Data in Power BI
Perspective of the project is to understand the HR requirments and perform data visualization techniques to understand the insight of the data. This project aims to apply Business Intelligence tools such as Power BI to get a visual understanding of the data.