Validate, convert, and manage data types to ensure analytical accuracy, including numeric, string, and time-series data.
Outcomes
By the end of this module, you will be able to:
- Evaluate data types for analytical suitability.
- Safely convert strings to numeric values.
- Parse and manipulate datetime data.
- Localize and convert timestamps across time zones.
Tools you will practice with:
Python • Pandas