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R for data science: getting started, EDA, data wrangling

R for data science: getting started, EDA, data wrangling

This working is part of the Rfun series. R and the Tidyverse are a data-first coding language that enables reproducible workflows. In this two-part workshop, you’ll learn the fundamentals of R, everything you need to know to quickly get started. You’ll learn how to access and install RStudio, how to wrangle data for analysis, gain a brief introduction to visualization, practice Exploratory Data Analysis (EDA), and how to generate reports.  

Part 1 has no prerequisites and no prior experience is necessary. By the end of part 1 you will import data, edit and save scripts, subset data, use projects to organize your work, and develop self-help techniques. 

This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop. We will use the flipped classroom model.  Quickstart videos will be distributed one week prior to the event.

The content of the workshop may be recorded. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.

Data Science

Date:
Friday, September 18, 2020
Time:
10:00am - 12:00pm
Campus:
n/a
Categories:
Data and Visualization  

Registration is required. There are 79 seats available.

Event Organizer

Profile photo of John Little
John Little
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Center for Data and Visualization Sciences