Time Series in Python: Reading and Transforming Your Data


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Originally published at: Time Series in Python: Reading and Transforming Your Data

In part 1 of our time series using python’s pandas package, learn how to read and index your data for time series, checking the data meets the requirements or assumptions for time series modeling, and transforming your data to ensure it meets those requirements. This series is considered for intermediate and advanced users. Please watch our video on getting python setup for data science usage, link below.

Code, R & Python Script Repository:
https://code.datasciencedojo.com/rebeccam/tutorials/tree/master/Time%20Series

Packages Used:
pandas
matplotlib
StatsModels
statistics

More Data Science Material:
[Video] Getting started with Python and R for Data Science
[Video] Web scraping in R

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