Visit Short Course Website for full details: NISS Short Course Series: Foundations of Time Series Analysis with R with Tucker S. McElroy | National Institute of Statistical Sciences
Duration: 12 one-hour sessions | Schedule: Wednesdays, April 1 - June 17, 2026 - 12:00pm to 1:00pm ET on Zoom
Eventbrite Registration: https://www.eventbrite.com/e/niss-short-course-series-foundations-of-time-series-analysis-with-r-tickets-1984645091895?aff=oddtdtcreator
Overview
Across twelve one‑hour sessions, participants will walk through the full content of Time Series: A First Course with Bootstrap Starter, with each session dedicated to one chapter of the book. This series highlights the opportunity to engage in live, hands‑on R coding tutorials taught directly by the author himself: Tucker S. McElroy, Senior Time Series Mathematical Statistician at the U.S. Census Bureau.
Participants will implement each concept in real time as Tucker McElroy demonstrates methods, walks through examples, and offers practical insights based on more than two decades of experience in time series research. Attendees will also have the unique opportunity to ask questions during every session, making this course an exceptional chance to learn directly from one of the leading experts in the field.
Schedule
This series will run for 12 one-hour sessions virtually on zoom, once a week on Wednesdays, April 1 – June 17, 2026, from 12–1 pm ET.
Registration Details
- Full short course series purchase: $300 - can be purchased at any time, recordings of previous sessions missed will be shared using a share folder link after puchase.
- Individual short course ticket purchase: $35 each
Available Discounts: Please reach out to Megan Glenn (mglenn@niss.org) for your discount promo code. Ensure your email is through a valid affiliate institution.
- Students: $250 full short course purchase; or $25 individual session
- NISS Affiliates: $250 full short course purchase; or $25 individual session. Students have an additional discount if part of our NISS Affiliate Program: $200 full short course purchase, $20 individual session. See our NISS Affiliates list here: NISS Affiliates | National Institute of Statistical Sciences
About the Instructor
Tucker S. McElroy is Senior Time Series Mathematical Statistician at the U.S. Census Bureau, where he has contributed to developing time series research and software for the last 22 years. He has published more than 100 papers, is a fellow of the American Statistical Association, and is a recipient of the Arthur S. Flemming award (2011).
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Abstract
This short course series will cover the content of the book Time Series: A First Course with Bootstrap Starter in twelve sessions, each session covering a chapter.
The course will be delivered to the National Institute of Statistical Sciences (NISS). The intended audience includes statisticians with little or no knowledge of time series, but a general knowledge of statistics. Prerequisites include a course on linear models, a course on mathematical statistics (such concepts as bias, variance, and the Gaussian distribution), and a familiarity with linear algebra (the transpose, inverse, and eigen-values of a matrix).
The aim is to cover basic concepts of time series analysis at a level suitable for those with a bachelor's or master's degree in statistics, while including a few non-standard concepts such as entropy, volatility filtering, and time series bootstraps. A second aim is to incorporate coding in R of all concepts, methods, and examples.
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Randy Freret
NISS.org
rfreret@niss.org------------------------------