Data analysis projects from DataCamp’s Data Scientist with Python career track, each a self-contained case study on a real dataset.
The projects span many domains: trends in Netflix movie lengths, the history of the Scala language told through its Git activity, the Android app market on Google Play, more than a century of Nobel Prize winners, and a fresh look at the 1840s hospital data with which Dr. Semmelweis discovered the value of handwashing.
The workflow is the same across notebooks: load and clean messy real data with Pandas, explore it, and present findings as charts, practicing the basics that underpin larger data science work.