Identifying seasonal data with time series in Alteryx

Date TBD | Online | 12pm CDT

DS - Identifying seasonal data with time series in Alteryx

Identifying seasonal trends inside time series data can be difficult...

Forecasting those trends can prove even trickier. In this session, Dr. J. Kyle Roberts from Teknion will discuss strategies for handling the seasonality dimension in time series analysis.

Pending date. If interested please register here and we will contact you as soon as the date is solidified.

 

Meet the Speaker

Kyle-Roberts

Dr. J. Kyle Roberts - Data Scientist at Teknion

 

Dr. Roberts has held Professorial positions at Southern Methodist University, Baylor College of Medicine, as well as the University of North Texas. In addition to co-authoring the yhat package in R (see below), Dr. Roberts is also an expert in Multilevel Modeling and co-authored “The Handbook of Advanced Multilevel Analysis.”

Learn More - Alteryx Toolkit by Teknion 

Learn More - Predictive Macros by Teknion

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