Data Wrangling & Manipulation in R, hosted by Lauren N. Girouard-Hallam and Anne Holmes
Wed, Jul 10
|https://gwu-edu.zoom.us/j/97320157749
Time & Location
Jul 10, 2024, 6:00 PM – 7:30 PM EDT
https://gwu-edu.zoom.us/j/97320157749
About the event
Dr's. Lauren Girouard-Hallam and Ann Holmes are two exceptional psychologists with advanced skills in R. They have hosted this workshop for the R Ladies Louisville Chapter, and are excited to host it once more for the Canine Science Society's Trainee Chapter! In this workshop, Dr.'s Girouard-Hallam and Holmes will be teaching you how to use DPLYR to "wrangle" data.
Data wrangling is an important skill for any researcher – especially those who would like to transition to a career in data analytics or UX post doctorally. Join us for this workshop to enhance your use of R.
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Ann Holmes is a Data Scientist at Vanderbilt University Medical Center (VUMC) specializing in data ingestion for omics data in the cloud. Ann holds a BA and MS from Case Western Reserve University and University of Louisville, respectively, while she spent several years in a number of different academic research settings studying auditory perception prior to her position at VUMC. Ann and her colleague Dr. Lauren Girouard-Hallam worked closely on a number of projects relating to data science education for graduate level psychology students while they were attending the University of Louisville, including working with R-Ladies Global to provide learning opportunities for folks traditionally underrepresented in the coding community.
Dr. Lauren Girouard-Hallam is an NIH T32 Postdoctoral Fellow at the University of Michigan researching children's attitudes towards and beliefs about generative AI chatbots. Lauren earned her PhD in Experimental Psychology from the University of Louisville in May 2024. Lauren's passion for the R stats community extends from her work with her colleague Ann Holmes at the University of Louisville through course generation and R-Ladies administration to her work as a teaching assistant for ICPSR's prestigious summer statistics program at the University of Michigan.