ts-i-eda

Time Series I: EDA

Foreword

This lesson focuses on exploding time series data in Pandas, as well as learning new measurements and statistics that are relevant only to time series data.

Lesson Plan

By the end of this lesson, students should be able to:

• Easily manipulate time series data in Pandas
• Identify stationary time series and difference the data in order to coerce stationarity
• Understand autocorrelation and partial autocorrelation and intuit why it might exist in a time series

Additional Resources

• A good open-source time series textbook
• Pandas documentation for time series/date functionality
• Jake VanderPlas’ “Python Data Science Handbook” section on Working with Time Series