Using Python to Cleanse and Rationalize Data Challenge
Data cleansing is an important task that every data scientist should be comfortable performing. You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.
In this lab challenge, you will be provided with a web browser-based integrated development environment (IDE) with an incomplete code file pre-loaded. The challenge mission and code file both describe what you must do to complete the challenge before time runs out. This is a real environment, which means you can prove your knowledge in an applied situation, leaving behind multiple choice questions for a dynamic performance-based exam situation.
February 7th, 2021 - Added a hint to explain how to compare your code against the expected output
- Completion of the Practical Data Science with Python learning path is recommended
- Budding data scientists
- Python beginners
- Python functions
- String operations
- User-defined functions
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