What is data cleaning and why is it important in data science? What are the common steps involved in cleaning and preparing raw data? How do techniques like handling missing values, removing duplicates, and correcting errors improve data quality? What tools and methods are commonly used for data cleaning? What are the challenges and best practices associated with data cleaning in real-world projects?