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Subject: Managing Ecological Data in R: Introduction to Data Science and the Art of Wrangling for Ecologists

Dates: August 5-9, 2019 (intitial payment deadline June 10 but late payments can be accepted as long as seats remain)

Location: Smithsonian Conservation Biology Institute, Front Royal, VA, USA

Once data reach a certain size or complexity ecologists often struggle with the data management process. As big data increasingly becomes a component of ecological study, there is a developing need for understanding how to maintain large and complex datasets, prepare data for analysis, and develop a reproducible workflow. In this five-day course, we will explore the management of ecological data using Program R. We will focus on the structure and linguistics of data in R and how to integrate R into a data science workflow, and explore how to think about ecological data in new ways. Through this process, participants will develop a flexible skillset for managing and exploring data. Each lesson will consist of a lecture and guided lab activities using real world ecological applications. This course will include: custom functions, online task automation using API, tidyverse functions, version control using GitHub, R as a GIS, visualizations using ggplot and Leaflet, and building reports and web applications using rMarkdown, Shiny and html.

Visit the course webpage HERE for more details.


Smithsonian-Mason School of Conservation <SCBITraining@si.edu>
Tuesday, June 04, 2019

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