Python for Data Analysis: Step-By-Step with Projects - Extracting Date and Time

Python for Data Analysis: Step-By-Step with Projects - Extracting Date and Time

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

Created by

Wayground Content

FREE Resource

The video tutorial covers techniques to transform datetime columns in a dataset into new features for data analysis. It explains how to extract components like year, month, and day, and how to calculate differences between dates using pandas. The tutorial also demonstrates creating Boolean indicators for date comparisons and highlights the importance of datetime data in uncovering insights. The session concludes with a call to explore further into time series analysis.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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