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.
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.
Hone your skills by importing and cleaning some wonderfully messy online ticket sales data.
Boston'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.
We 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.
Use all of the tools you've learned to import and clean a gnarly dataset containing information on average school attendance in the US.