[Ocees] FW: SMSC Course on Managing Ecological Data in R: New Online Format and Reduced Price

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Grad students, FYI (courtesy of Marissa)

Viorel

From: Dyck, Marissa < md441717 at ohio.edu 
>
Sent: Wednesday, April 14, 2021 1:52 PM
To: Popescu, Viorel < popescu at ohio.edu 
>
Subject: Fw: SMSC Course on Managing Ecological Data in R: New Online Format and Reduced Price

see below; may want to share via OCEES


Marissa Dyck

she/her


Popescu lab< https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvioreldpopescu.com%2F&data=04%7C01%7Cocees%40listserv.ohio.edu%7Cfb2b5b35d78b4a5f36df08d8ff8a89bc%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637540317770755565%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=iDKgmI4bFpaePmiF0krXiolYrq5S%2FtfQOtMtYM6cCKk%3D&reserved=0 
>

PhD Candidate

Department of Biological Sciences

Ohio University

Irvine 320





________________________________
From: NZP-SCBI Training < scbitraining at si.edu 
<mailto: scbitraining at si.edu 
>>
Sent: Wednesday, April 14, 2021 10:55 AM
Subject: SMSC Course on Managing Ecological Data in R: New Online Format and Reduced Price


Greetings,



You're receiving this message because you've either applied to or attended on of our previous programs here at the Smithsonian-Mason School of Conservation. Over this past year, SMSC has worked to retool some of our most popular training programs into an online format. We've had some great success with a few courses so far this year and are now excited to announce that we'll be offering another one of our programs in a new online format. We expect this course to fill to capacity before the application deadline of July 26th, so we encourage anyone interested in attending this course to apply and register as soon as possible to secure your seat. Remember that only registration (not course acceptance) guarantees your place in the course. Please share this announcement with any colleagues you think may be interested!



Managing Ecological Data in R: Introduction to Data Science and the Art of Wrangling for Ecologists< https://smconservation.gmu.edu/programs/graduate-and-professional/ecological_data-ol/ 
>

Dates: Aug 23 - Oct 11, 2021

Cost: $500.00 (limited scholarships available for citizens of less-developed countries)



Description: Wrangling and manipulating datasets can be one of the biggest hurdles to overcome in analyzing and publishing your research. In many cases, researchers and students spend more time organizing, formatting and cleaning data then they do actually using it to answer their research questions. Yet there are many tools available, particularly in the R environment, to make this stage of your research efficient, and error-free. In addition, R provides numerous tools to streamline and professionalize communication of your results. 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.



Dr. Brian Evans has designed this course, now for the first time in an online format, to create a flexible toolbox for ecologists and environmental scientists who seek to better manage and use data. Over 7.5 weeks participants will explore the management of ecological data using Program R. They will focus on the structure and linguistics of data in R, how to integrate R into a modern data science workflow, and explore how to think about ecological data in new ways. Participants will gain an in-depth understanding of the tidyverse package. Through this process, participants will develop a flexible skillset for managing and exploring data. Each weekly module will consist of recorded lectures and guided lab activities using real world ecological applications. R packages used in the course will include tidyr, dplyr, lubridate, stringr, purr, tmap, and shiny among others. See our course page for a complete list of course topics.



Format: This course is taught in an asynchronous format over 7.5 weeks, with 2 weekly opportunities for live feedback and instructor interaction over Zoom. Our new format allows for maximum flexibility for participants juggling complicated work schedules, classes and other commitments. This course is available for professional training, but can also be taken for 3 graduate credits at additional cost through George Mason University.





All the best,



The SMSC Team
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