Description
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.
Updates
February 7th, 2021 - Added a hint to explain how to compare your code against the expected output
Prerequisites
- Completion of the Practical Data Science with Python learning path is recommended
Intended audience
- Budding data scientists
- Python beginners
What will be assessed
- Python functions
- String operations
- User-defined functions
About the author
Delivering training and developing courseware for multiple aspects across Data Science curriculum, constantly updating and adapting to new trends and methods.