Python is one of the most widely used programming languages in the fields of data analytics, data engineering, and data science. It is commonly used to build data pipelines, automate workflows, process large datasets, and integrate with modern data platforms.

This assessment evaluates your understanding of Python programming concepts that are essential for working with data workflows and analytics systems.

Topics covered in this assessment include:

• Python fundamentals and syntax

• Variables, data types, and operators

• Control structures and loops

• Functions and modular programming

• Working with files and data formats

• Data manipulation using Python

• Automation of data tasks

• Error handling and debugging

• Writing efficient and readable Python code

• Python's role in data engineering and analytics workflows

This assessment is designed for professionals working in data analytics, data engineering, and data science who want to validate their understanding of Python programming in real-world data environments.