Academic and experiential bridge between classroom
theory and real-world application in the domain of
data science. Students enrolled in this course
will work eight to 10 hours per week in small
teams to solve problems and extract value from
data. The problems and data sets will vary by year
and course offering, but will universally provide
opportunities to students to frame research
questions, manage and clean data, execute
analyses, and communicate results.
theory and real-world application in the domain of
data science. Students enrolled in this course
will work eight to 10 hours per week in small
teams to solve problems and extract value from
data. The problems and data sets will vary by year
and course offering, but will universally provide
opportunities to students to frame research
questions, manage and clean data, execute
analyses, and communicate results.
- Teacher: Greta Binford
- Teacher: Ethan Davis
- Teacher: Jeremy McWilliams
- Teacher: Emily O'Sullivan
Academic and experiential bridge between classroom, theory and real-world application in the domain of, data science. Students enrolled in this course, will work eight to 10 hours per week in small, teams to solve problems and extract value from, data. The problems and data sets will vary by year, and course offering, but will universally provide, opportunities to students to frame research, questions, manage and clean data, execute, analyses, and communicate results.
- Teacher: Greta Binford
- Teacher: Ethan Davis
- Teacher: Jeremy McWilliams
- Teacher: Amelia Pruiett