Manipulate and Process Datasets using Libraries such as NumPy and Pandas

Learning Objectives

At the end of this theory note, trainees must be able to:

1. Import and load datasets into NumPy arrays and Pandas DataFrames from common file formats.
2. Perform numerical and statistical operations on arrays using NumPy.
3. Select, filter, sort, group, and aggregate tabular data using Pandas DataFrames.
4. Transform and reshape datasets using merge, join, pivot, and melt operations.
5. Handle missing values, duplicates, and inconsistent data types during cleaning.
6. Export processed data to an appropriate file format for downstream use.