This two-part class is an introduction to R, an open-source programming language for reading, transforming, analyzing and visualizing data. By the end of the two sessions, you will have a basic foundation for getting started with R. While R is used to perform sophisticated statistical analysis and visualizations, these are beyond the scope of these introductory sessions. The goal is to jumpstart by focusing on the building blocks when working with data in R.
The class meets on February 26th and 28th from 7:20pm-9:20pm each day (note that the start and end times are set as such to coincide with Metro North trains to and from Grand Central).
-Understanding basic data structures in R
-Running R code interactively and via source files
-Installing and loading packages
-Exploring and subsetting a data set
-Understanding data with descriptive statistics (mean, median, mode, range)
-Visualizing data with basic graphs (bar chart, scatter plot, line graph)
-Learning of resources for connecting with the strong R community and deepening your understanding of R and statistics
Prior programming experience in any language preferred to feel comfortable typing code, creating variables, and using functions. R specific syntax will be discussed in class.
Some knowledge of basic descriptive statistics (mean, median, mode, range) and visualizations (bar graph and line graph) is recommended. Need a refresher? Watch this short video on basic statistics (https://www.youtube.com/watch?v=s_GBJhu65as).
Your laptop (Mac, Windows, Linux) and charger. Note: A netbook or tablet is NOT a substitute.
An updated browser to access RStudio Cloud, a web version of R and RStudio. Please create a free account here (https://rstudio.cloud/).
To use R and RStudio locally on your computer, please install the latest release of R (version 3.5.0) and RStudio Desktop. Follow this step-by-step tutorial on how to install R and RStudio (https://tutorials.shinyapps.io/00-setup/#section-welcome). Since RStudio Cloud is a beta version, I recommend that you have a local installation as well.
INTERESTED IN TA-ING?
Fill out this form ( http://goo.gl/forms/ynrPJf7ThQ ) and the organizer will contact you!
We offer needs-based scholarships for people interested in taking any course over $50 who may not be able to afford the registration fee. Apply here (https://docs.google.com/a/girldevelopit.com/forms/d/e/1FAIpQLSc8LOblbCuSgKvHvdsMfTTkd83njnqpDVP7-PIHEM1soOnuHg/viewform)
Girl Develop It welcomes all genders and identities to our classroom. By entering this group, all community members agree to abide by our Girl Develop It Code of Conduct (http://www.girldevelopit.com/codeofconduct).
There are no refunds or make-ups for this course unless the class is rescheduled, moved to a different location or cancelled. If you end up being unable to attend any or all of these dates, the entire amount of your tuition will be donated to our scholarship fund to help other women who need financial assistance. Thank you for understanding.
We have 100% no drop-ins policy. Students that have not registered on Meetup before the class will not be accepted into the class. Please do not show up to a class without registering via Meetup, you will be turned away.
ABOUT THE TEACHER:
Dannia works as a research analyst at a social policy research organization, where she provides technical support and develops and facilitates in-house training in SAS and R. In addition to teaching and working with data, she enjoys cycling around the city and organizing events for GDI’s NYC chapter.
The New York Botanical Garden is an iconic living museum, a major educational institution, and a renowned plant research and conservation organization. The NYBG Mertz Library promotes the intelligent stewardship of the natural world by collecting and preserving works of merit in botany, horticulture and landscape design.