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DTSTART:20180206T170000Z
DTEND:20180206T200000Z
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SUMMARY:Data Cleaning with R
DESCRIPTION: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!\n\nIt 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. \n\nPrerequisite: 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. \n\nInstructor: Tim Dennis\, Director of the Data Archive and 
 Software Carpentry Instructor.
LOCATION:WORKSHOPS: Data Science Center\, 21536 Young Research Library
ORGANIZER;CN="Data Science Center":MAILTO:datascience@ucla.edu
CATEGORIES:R
CONTACT;CN="Data Science Center":MAILTO:datascience@ucla.edu
STATUS:CONFIRMED
UID:LibCal-3835765
URL:https://calendar.library.ucla.edu/event/3835765
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