Master Using SQL with Python

 Data analysis is one of the most in-demand skills today, and Python is at the center of modern data workflows. This course is designed to help you get started quickly with Python data analysis by combining SQL and Pandas, two essential tools used by data analysts and data scientists worldwide.

In this course, you’ll learn how to use SQL, the standard language for relational databases, to query and analyze Pandas DataFrames directly within Python. If you already have some familiarity with SQL or are coming from a database background, this approach will feel intuitive and powerful. Instead of writing complex Pandas code from scratch, you’ll be able to apply clear and readable SQL queries to extract insights from your data.

The course focuses on practical, hands-on learning. You’ll see how to load data into Pandas, structure it properly, and then apply SQL-style queries to filter rows, select columns, perform aggregations, and analyze datasets efficiently. This makes it much easier to explore data, validate assumptions, and speed up your analysis process.

By learning how SQL integrates with Pandas, you’ll gain a valuable skill that bridges traditional database querying and modern Python data analysis. This combination is especially useful for professionals who work with structured data, reporting systems, or analytics pipelines.

What you will learn:

• How SQL fits into Python-based data analysis

• Querying Pandas DataFrames using SQL syntax

• Filtering, sorting, and aggregating data efficiently

• Simplifying complex analysis tasks with SQL queries

• Practical techniques for working with real-world datasets

Who this course is for:

• Python developers who want to expand into data analysis

• Data analysts familiar with SQL who want to use Python

• Beginners in data science looking for practical workflows

• Anyone working with datasets, reports, or structured data

By the end of this course, you’ll be able to confidently analyze Pandas DataFrames using SQL, making your data analysis workflow faster, cleaner, and easier to maintain. Whether you’re preparing for a data-focused role or improving your current analytics skills, this course gives you a strong and practical foundation.

Python and SQL

👉 Enroll in this course and start analyzing data with Python and SQL today.