Welcome to the COVID-19 Data Analysis Project on my GitHub repository! As a data expert with expertise in SQL and Microsoft SQL Server, I am excited to share this project with you, where I dive deep into the vast world of COVID-19 data to uncover valuable insights.
If you are unfamiliar with the GitHub website click here to view the SQL scripts
The COVID-19 pandemic has had a profound impact on our lives, and understanding the data behind it is crucial for making informed decisions and combating the spread of the virus. In this project, I leverage my SQL skills and Microsoft SQL Server to analyze various aspects of the COVID-19 pandemic using publicly available data sources.
The project utilizes a comprehensive and up-to-date dataset that encompasses COVID-19 data from around the globe. This dataset includes information on confirmed cases, deaths, testing, vaccinations and other relevant variables that provide a holistic view of the pandemic's progression.
By harnessing the power of SQL queries and the capabilities of Microsoft SQL Server, I perform in-depth analysis on the COVID-19 data. Some key areas I explore include:
- Trends and Patterns: I uncover trends and patterns in the data to identify spikes, declines, and fluctuations in the number of COVID-19 cases over time.
- Geographical Analysis: I examine the geographical distribution of cases, exploring hotspots, and regional variations.
- Testing and Vaccination: I analyze testing rates, vaccination progress, and their impact on the pandemic's trajectory, shedding light on the effectiveness of these interventions.
Throughout this project, I showcase my proficiency in SQL and Microsoft SQL Server. I leverage SQL queries to manipulate and transform the data, perform complex aggregations, filter datasets based on specific criteria, and generate insightful queries using Microsoft SQL Server.
If you have any questions, suggestions, or would like to collaborate on a project, I would be thrilled to hear from you. Please feel free to reach out to me via LinkedIn.
Thank you for exploring the COVID-19 Data Analysis Project, and I hope you find the insights valuable and informative.
Stay safe!
Best regards,
David Shields