Link to Medium Article: Exploring the Data Science Industry through Popular Job Titles.
Team Members: Kyle Lee (Project Lead), Megan Ma, Amelie Ionescu, Christine Kim
The goal of this project was to clarify the differences between popular job titles in the data science field through analysis of Kaggle’s yearly user survey.
Link to dataset: Kaggle 2021 Data Science Survey. The survey had 25,973 responses with questions about education level, job title, programming languages, machine learning frameworks, etc.
For this project we used R for data exploration/analysis and Tableau for visualizations.
What languages are used by each respondant? Do the frequencies of languages used differ among job titles?
What is the highest level of education held by each respondant, filtered by job title?
Which jobs require the least/most years of experience?