This project focuses on the general overview of the COVID-19 pandemic and this was achieved using Microsoft SQL. We'll be generating insights from two datasets that have information on global populations, cases, deaths, and vaccinations across various countries and continents. These insights will be the foundation on which will be used to make data-driven decisions with respect to the pandemic.
This is a Microsoft Power BI project on sales analysis of an imaginary store called Superstore from January 3rd, 2014 to April 15, 2017. The project is to analyze and derive insights to answer business questions, which will lead to the store making data-driven decisions.
This is a Tableau exploratory data analysis project on a student mental health dataset populated during July 2020. The project is to analyze and derive insights to answer questions, which will lead to the school making data-driven decisions.
This is a Python project on sales analysis of an imaginary store called Pens and Printers. The project is to analyze and derive insights to answer business questions which in turn will lead to the store making data-driven decisions.