https://github.com/nikhilash45/sql_covid19-data-analysis

This project involves an exploratory analysis of COVID-19 deaths and vaccination data from March 2020 to June 2021. The dataset was sourced from Our World in Data and analyzed using MS-SQL Server. Key SQL techniques used include Joins, CTEs, Temp Tables, Window Functions, Aggregate Functions, Creating Views, and Data Type Conversions.
https://github.com/nikhilash45/sql_covid19-data-analysis

Last synced: 5 days ago
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This project involves an exploratory analysis of COVID-19 deaths and vaccination data from March 2020 to June 2021. The dataset was sourced from Our World in Data and analyzed using MS-SQL Server. Key SQL techniques used include Joins, CTEs, Temp Tables, Window Functions, Aggregate Functions, Creating Views, and Data Type Conversions.

• Host: GitHub
• URL: https://github.com/nikhilash45/sql_covid19-data-analysis
• Owner: Nikhilash45
• Created: 2024-07-11T19:44:14.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-07-19T05:56:05.000Z (4 months ago)
• Last Synced: 2024-07-19T13:59:51.337Z (4 months ago)
• Homepage:
• Size: 23.6 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# COVID-19 Data Analysis Project

In my SQL project, I conducted an exploratory analysis of Covid-19 deaths and vaccination data from March 2020 to June 2021 using MS-SQL Server. The raw dataset, sourced from Our World in Data, was imported into a SQL Database on my local machine. The analysis involved using various SQL skills, including Joins, CTEs, Temp Tables, Window Functions, Aggregate Functions, Creating Views, and Converting Data Types.

## Skills Utilized:

1) Joins

2) Common Table Expressions (CTEs)

3) Temporary Tables

4) Window Functions

5) Aggregate Functions

6) Creating Views

7) Converting Data Types

## Data Source:

COVID-19 Deaths Dataset ( https://ourworldindata.org/covid-deaths )

## Tools:

MS-SQL Server