Thursday, October 18, 2018
Data, R (programming language)
LOCATION: Young Research Presentation Room 11348
It's commonly said that data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time actually analyzing it. For this reason, it is critical to become familiar with the data cleaning process and all of the tools available to you along the way. This course provides a very basic introduction to cleaning data in R using the tidyr, dplyr, and stringr packages. After taking the course you'll be able to go from raw data to awesome insights as quickly and painlessly as possible!
It is often said that data analysts spend up to 80% of their time cleaning and processing data while only 20% actually analyzing it. Learning how to clean and work with data is a critical skill. This workshop will give you a basic introduction to data preparation in R using the tidyverse (tidyR, dplyr and stringr packages). Once you complete this course you'll be able to take raw data and get it ready for your analytical powers.
Prerequisite: Some knowledge of R a must. Either attend our Intro to R course on 1/24 or work through Data Camp's Intro to R free course.
Instructor: Tim Dennis, Director of the Data Archive and Software Carpentry Instructor.