SQL E-commerce project

SQL Data Querying

In this project, SQL was used to efficiently extract and organize e-commerce data for further analysis. Key SQL techniques applied include:

Grouping: Used the GROUP BY clause to aggregate data by relevant categories such as product, customer, or date, enabling summary metrics like total sales, average order value, and count of transactions.

Ordering: Applied the ORDER BY clause to sort results based on key indicators, such as highest sales, most recent transactions, or customer rankings, facilitating prioritized insights.

WHERE Clause: Employed the WHERE clause to filter data based on specific conditions, such as targeting transactions within a date range, filtering customers by segment, or selecting products by category, which helped in focusing the analysis on relevant subsets of data.

These SQL skills provided a foundation for clean, structured inputs into Excel and Power BI for visualization and KPI tracking.