Integrating SQL queries within a Python script is a practical method for managing and analyzing structured data. By using libraries like sqlite3, SQLAlchemy, or pymysql, you can connect Python to databases, execute SQL queries, and fetch results. The data can then be imported into a pandas DataFrame for further analysis, visualization, or reporting. This combination allows you to leverage SQL's querying strengths along with Python’s powerful analytical tools. It’s especially useful in handling large datasets or automating data workflows.To master these techniques and more, consider exploring a data analyst course.