Analyze data within a database using SQL and Python. Create a relational database and work with multiple tables using DDL commands. Construct basic to intermediate level SQL queries using DML commands. Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

Analyze data within a database using SQL and Python. Create a relational database and work with multiple tables using DDL commands. Construct basic to intermediate level SQL queries using DML commands. Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

This badge earner understands relational database concepts, can construct and execute SQL queries, and has demonstrated hands-on experience accessing data from databases using Python-based Data Science tools like Jupyter notebooks.

Aug 31, 2020 · In this article I will walk you through everything you need to know to connect Python and SQL. You'll learn how to pull data from relational databases straight into your machine learning pipelines, store data from your Python application in a database of your own, or whatever other use case you might come up with. Together we will cover:

Introducing the Free Data Science with Python and SQL Certification Course Online, a comprehensive beginner's program designed to help aspiring data scientists learn the essential skills in the rapidly growing field of data science.

"Databases and SQL for Data Science with Python" is a comprehensive course covering foundational and advanced SQL, database management, and Python programming for...

Analyze data within a database using SQL and Python. Create a relational database and work with multiple tables using DDL commands. Construct basic to intermediate level SQL queries using DML commands. Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

Mar 31, 2025 · Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python. No prior knowledge of databases, SQL, Python, or programming is required. Anyone can audit this course at no-charge.

Most databases come with built-in functions that you can use in SQL statements to perform operations on data within the database itself. When you work with large datasets, you may save time by using built-in functions rather than first retrieving the data into your application and then executing functions on the retrieved data.