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Try DataCamp for BusinessProject Description
Wondering if that Philosophy major will really help you pay the bills? Think you're set with an Engineering degree? Whether you're in school or navigating the postgrad world, this project will guide you in exploring the short- and long-term financial implications of this major decision. After doing some data clean up, you'll compare the recommendations from three different methods for determining the optimal number of clusters, apply a k-means cluster analysis, and visualize the results.
This project assumes familiarity with standard tidyverse tools for R. While not required, it would also be helpful to have a prior understanding of clustering unsupervised data with k-means.
The dataset used in this project is made available here by the Wall Street Journal.
Project Tasks
- 1Which college majors will pay the bills?
- 2Currency and strings and percents, oh my!
- 3The elbow method
- 4The silhouette method
- 5The gap statistic method
- 6K-means algorithm
- 7Visualizing the clusters
- 8A deeper dive into the clusters
- 9The liberal arts cluster
- 10The goldilocks cluster
- 11The over achiever cluster
- 12Every major's wonderful
Technologies
R
Jaclyn BurgeSenior Data Consultant at The Walt Disney Company