Serdar Balci has completed
Importing & Cleaning Data in R: Case Studies
Start course For Free4 hours
3,500 XP
Loved by learners at thousands of companies
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.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.- 1
Ticket Sales Data
FreeHone your skills by importing and cleaning some wonderfully messy online ticket sales data.
- 2
MBTA Ridership Data
FreeBoston's public transit system needs your help! The T wants to do some data analysis and you've been asked to clean their ridership data.
- 3
World Food Facts
FreeWe all know that you are what you eat, so what exactly are you? In this chapter, you'll import and clean some data about food products from around the world.
- 4
School Attendance Data
FreeUse all of the tools you've learned to import and clean a gnarly dataset containing information on average school attendance in the US.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.collaborators
Nick Carchedi
See MoreProduct Manager at DataCamp
Join over 15 million learners and start Importing & Cleaning Data in R: Case Studies today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.