This event will be hosted over Zoom, and the link will be available on this Meetup page at noon on the day of the event. We will request your email address upon registration to ensure you receive the newly required Zoom passcode on the day of the event.
Agenda (subject to change):
7:30-7:35 pm: R-Ladies NYC Announcements
7:35-8:05: Book talk
8:05 - end Audience Q&A
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like?
If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a “learn by doing” approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job.
Ryan A. Estrellado (@RyanEs) has served public schools for over seventeen years as a school psychologist and administrator. Ryan writes about working with data, education, and other projects at https://ryanestrellado.com.
Emily A. Freer (@ebovee09) is the Director of Educational Development and Assessment at the Marquette University School of Dentistry. Learn more about Emily at https://emilyfreer.com.
Jesse Mostipak (@kierisi) is the Community Advocate for Kaggle, and has worked both as a high school science teacher and lead data scientist within education non-profits. To follow Jesse’s learning adventures in Python and deep learning, head over to https://jessemaegan.com.
Isabella C. Velásquez (@ivelasq3) is a data analyst committed to nonprofit work with the goal of reducing racial and socioeconomic inequities. To follow Isabella’s personal projects, join her at https://ivelasq.rbind.io.