global-layoffs-sql-data-analysis

Through this project, I learned how to clean data before performing EDA on it.

The data cleaning process that has to be followed is -

1. Remove Duplicates
2. Standardize the data
3. Null values or blank values are handled
4. Remove any columns or rows

Once data is transformed to this format where the data is clean, it becomes ready for analysis. The next step involves to perform EDA on the data and derive meaningful insights that help in decision-making. These insights are visualized by creating dashboards using Tableau, PowerBi or Excel.