Working with DateTime — Dates, Months, Years, and Time-Based Analysis

In this lesson, we will learn how to work with date and time data in Pandas. We will understand pd. todatetime(), extracting year, month, and day from dates, filtering by date, sorting, creating periods, and performing basic time-based analysis through practical examples. ## Lesson objective In this lesson, we will learn how to work with DateTime in Pandas. In the previous lessons, we covered DataFrames, filtering, data cleaning, groupby, creating new columns, sorting, and merging. However, one of the most important topics in real data analytics is working with date data. Many datasets contain date columns.