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Online course: Statistics in R with Tidyverse

Hi everyone

Instats is offering a 4-day workshop on Statistics in R with
<https://instats.org/seminar/statistics-using-the-tidyverse-in-r2?utm_source=r-sig-ecology>
Tidyverse
<https://instats.org/seminar/statistics-using-the-tidyverse-in-r2?utm_source=r-sig-ecology>
with professor Chester Ismay, running October 15, 17, 22, and 24. This
comprehensive seminar introduces participants to key concepts and practices
in statistical inference and data science using R, covering topics such as
data wrangling, exploratory data analysis, regression analysis, confidence
intervals, hypothesis testing, and more. Attendees will gain hands-on
experience, enhancing their ability to manage and analyze complex datasets
and effectively communicate their research findings. Starting with an
introduction to R and the tidyverse, the workshop will incrementally
introduce statistical concepts and practical hands-on techniques for
efficiently using the tidyverse to manipulate and analyze data, as well as
present results with data visualizations. The workshop will also cover more
advanced topics such as resampling methods for hypothesis tests with
regression analysis, providing robust tools for data analysis and
interpretation. Moreover, learning to communicate statistical findings
effectively will enable researchers to present their work compellingly for
academic journals, conferences, and policy papers.

For anyone wanting a deep dive into Quarto to automatically create
reproducible research using R, we also have a 1-day workshop Quarto in
RStudio: Writing Reproducible & Dynamic Research Papers
<https://instats.org/seminar/quarto-in-r-studio-writing-reproducible2?utm_source=r-sig-ecology>,
running Oct 7, by professor Seraphine Maerz.

Sign up today
<https://instats.org/seminar/statistics-using-the-tidyverse-in-r2?utm_source=r-sig-ecology>
for to secure your spot in these unique workshops and please feel free to
tell your friends and colleagues!


Best wishes

?Michael Zyphur
Director
Institute for Statistical and Data Science
*instats.org* <http://instats.org?utm_source=r-sig-ecology>