Develop Data-handling Scripts for Cleaning, Transformation, and Analysis of AI application Data

Learning Objectives:

At the end of this topic, you must be able to:

1. Write scripts that identify and handle missing or inconsistent data according to data quality requirements.
2. Apply data transformation operations such as normalisation, encoding, and feature scaling.
3. Conduct exploratory data analysis (EDA) to summarise and interpret dataset characteristics.
4. Produce appropriate visualisations and summary statistics to present analysis results.
5. Validate a processed dataset against accuracy and consistency requirements.