This is a repository for resources completed as part of the Johns Hopkins University Data Visualization and Dashboarding With R Specialization.

Tutorials on machine learning, artificial intelligence in general and in biomedical research.

Sale Analysis of video games copies between 1980 and 2020. Data filtered with SQL, dashboard created using Power BI.

Hotel Booking Cancellation Project Using Excel - Data Analyst Project

Interactive dashboard created with Javascript, Bootstrap 4 HTML and CSS, D3.js, and Plotly.js

This repository contains a Power Bi dashboard of an E-commerce store to answer questions about the data. The insights of the dashboard can be found in the results.txt file. This repository can be used as a starting point for anyone who wants to learn how to use Power Bi to analyze data.

Data Analytics Projects - visualized with - (Tableau)

This repository contains a dataset of Lionel Messi's Club Career Goals and a dashboard to analyze and answer some questions about the data. The results of the analysis can be found in the result.txt file.

Data Analytics Projects - analyzed with - (Excel)

A data visualization dashboard 📊 built using ReactJS.

HR ANALYTICS DASHBOARD by using Power-Bi (Data Analytics)

Dashboard for COVID-19, built using Vega

Embark on an engaging project that seamlessly combines the tech-driven realms of web scraping, ETL , and insightful EDA. Dive into the Apple ecosystem as you leverage these techniques to uncover hidden gems, transform raw data into meaningful insights, and create an immersive experience at the intersection of data exploration.

Building dashboard

The dashboard aims to provide clear insights into key performance indicators, enabling stakeholders to make informed decisions and foster a performance-driven culture within the organization.

Tokyo-olympic-azure-data-engineering-end-to-end-project

Sales store data analysis and visualization using Power BI

Creating visualisations to better understand data

Flight Delay and Cancellation Prediction using Tableau for the year 2015

The app allows the user to visually analyze the electricity and gas consumption behavior of his customers in order to highlight trends and anomalies. React, D3, JWT, GraphQL, Strapi.