Introduction to Data Science
STAT 3255/5255 @ UConn
Preface
The notets are a Quarto book; for details about Quarto, visit https://quarto.org/docs/books.
The notes are a joint effort of the instructor and the students in STAT 3255/5255, Spring 2023. Students’ contributions were made through pull requests to our GitHub repo at https://github.com/statds/ids-s23. The GitHub repo of the notes from Spring 2022 are available at https://github.com/statds/ids-s22.
Our mid-term project on the 311 requests of New York City is to be showcased at the NYC Open Data Week during 2-3 pm ET, Monday, March 13, 2023..
An interesting quote from VanderPlas (2016):
When a technologically-minded person is asked to help a friend, family member, or colleague with a computer problem, most of the time it’s less a matter of knowing the answer as much as knowing how to quickly find an unknown answer. In data science it’s the same: searchable web resources such as online documentation, mailing-list threads, and StackOverflow answers contain a wealth of information, even (especially?) if it is a topic you’ve found yourself searching before. Being an effective practitioner of data science is less about memorizing the tool or command you should use for every possible situation, and more about learning to effectively find the information you don’t know, whether through a web search engine or another means.