Data wrangling involves several key steps to transform raw data into a format that is suitable for analysis. These include extracting data from multiple sources, structuring and reshaping it, cleaning and standardizing it, enriching it with additional information, and transforming it. Each of these steps is crucial for ensuring that the data is consistent, reliable, and meaningful for analysis.