[SBD DDSA] Data Manipulation in Pandas

Introduce members to the core Pandas functions needed for effective data manipulation in Python, to foster a solid starting point for handling, cleaning, and transforming datasets.
Objectives:

• Introduce the Pandas library and its role in data work.
• Create and inspect DataFrames to understand dataset structure.
• Clean and transform data using Pandas functions.
• Sort, filter, and export datasets using built-in Pandas operations.

Learning Outcomes:

• Understand what Pandas is and why it’s used in data manipulation.
• Create DataFrames and inspect their content using basic Pandas methods.
• Perform data cleaning tasks such as fixing missing values and correcting data formats.
• Apply transformations to make data more structured and usable.
• Sort and filter rows to extract meaningful subsets of information.
• Export cleaned and processed data into formats like CSV for further use.