Aligning time series datasets with differing timestamps is crucial for accurate analysis. Using common date ranges and reindexing ensures a unified temporal framework. Techniques like resampling and rolling means enhance data manipulation. This approach simplifies merging, joining, and handling missing values in Pandas, enabling effective time series operations.