Data Engineering Coding Challenge (Python Data Validation)

1. 1Read the problem statement carefully to understand the data validation requirements
2. 2Choose a Python library such as Pandas to handle and validate the data
3. 3Write a function to validate the data based on the given constraints and rules
4. 4Test the function with sample data to ensure it works correctly
5. 5Optimize the function for performance and readability

Data engineers and data scientists can benefit from this challenge to improve their data validation skills and ensure high-quality data for analysis and modeling

💡 Data validation is a crucial step in data engineering to ensure high-quality data for analysis and modeling

Improve your data validation skills with this Python coding challenge #DataEngineering #Python