Identifying Seasonal Data with Time Series in Alteryx

Identifying seasonal trends inside time series can be difficult; forecasting those trends can prove even trickier.

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What You'll Learn

Conquer seasonality.

Join Resultant Data Scientist Dr. J. Kyle Roberts as he discusses strategies for handling the seasonality dimension in time series analysis. Follow along with the raw data files below.

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Meet the Speaker

Kyle Roberts

Data Scientist at Resultant

Kyle has held several professorial positions at Southern Methodist University, Baylor College of Medicine, and the University of North Texas. Kyle co-authored the Yhat package in R programming language. Additionally, Kyle is an expert in multilevel modeling and co-authored The Handbook of Advanced Multilevel Analysis.

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