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## About the course {.unnumbered}

These are the instructional materials for the May 2025 coreR course! <!-- As part of a collaboration between NCEAS and the Delta Science Program, this course has been adapted from [NCEAS coreR course](https://www.nceas.ucsb.edu/learning-hub/core-r), an in-person immersion in R programming for environmental data science. Researchers will gain experience with essential data science tools and best practices to increase their capacity as collaborators, reproducible coders, and open scientists. -->

## NCEAS Expertise

The [National Center for Ecological Analysis and Synthesis (NCEAS)](https://www.nceas.ucsb.edu/), a research affiliate of UCSB, is a leading expert on interdisciplinary data science and works collaboratively to answer the world's largest and most complex questions. The NCEAS approach leverages existing data and employs a team science philosophy to squeeze out all potential insights and solutions efficiently - this is called [synthesis science](https://www.nceas.ucsb.edu/our-approach).

NCEAS has over 25 years of success with this model among working groups and environmental professionals. Together with the Delta Science Program and the Delta Stewardship Council we are excited to pass along skills, workflows, mindsets learn throughout the years.

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### Learning Objectives

-   Effectively manage data using `tidy` data practices
-   Implement reproducible scientific workflows throughout all aspects of a project
-   Establish best practices and utilize tools like Git & GitHub to optimize your collaboration
-   Better communicate scientific analyses and results using Markdown, GitHub webpages, and R packages like `ggplot2` and `Shiny`
-   Increase your familiarity and confidence with data science tools

### Week's Schedule

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## Code of Conduct

By participating in this activity you agree to abide by the [NCEAS Code of Conduct](https://www.nceas.ucsb.edu/sites/default/files/2021-11/NCEAS_Code-of-Conduct_Nov2021_0.pdf).

## About this book

These written materials are the result of a continuous and collaborative effort at NCEAS to help researchers make their work more transparent and reproducible. This work began in the early 2000's, and reflects the expertise and diligence of many, many individuals. The primary authors are listed in the citation below, with additional contributors recognized for their role in developing previous iterations of these or similar materials.

This work is licensed under a [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/).

**Citation:** Camila Vargas Poulsen & Angel Chen (2024), NCEAS coreR for Delta Science Program, June 2024, NCEAS Learning Hub. URL <https://learning.nceas.ucsb.edu/2024-06-delta>.

**Additional contributors:** Ben Bolker, Amber E. Budden, Julien Brun, Samantha Csik, Halina Do-Linh, Natasha Haycock-Chavez, S. Jeanette Clark, Julie Lowndes, Stephanie Hampton, Matt Jone, Samanta Katz, Erin McLean, Bryce Mecum, Deanna Pennington, Karthik Ram, Jim Regetz, Tracy Teal, Daphne Virlar-Knight, Leah Wasser.

This is a Quarto book. To learn more about Quarto books visit <https://quarto.org/docs/books>.