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Importing & Cleaning Data in R: Case Studies

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  • 0 Videos
  • 35 Exercises
  • 4 hours 
  • 4,259 Participants
  • 3500 XP

Instructor(s):

Nick Carchedi
Nick Carchedi

Prior to leading the Course Development team at DataCamp, Nick earned his master's degree at Johns Hopkins Biostatistics and worked as a data scientist for McKinsey. Nick's passion for teaching data science began in graduate school, where was heavily involved in tutoring fellow students, developing the Johns Hopkins Data Science Specialization, and building the swirl R package.

Collaborator(s):

Jim Looney Jim Looney

Tom Jeon Tom Jeon

Course Description

Running exciting analyses on interesting datasets is the dream of every data scientist. But first, some importing and cleaning must be done. In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.