Data Science Essentials
Foundations: cleaning, analysing and describing a dataset.
2 team projectsRefine these 2 in team projects →
Team projects tagged Data Science Essentials
EssentialsBooking lead time and missed appointments
Headline finding: Appointments booked more than three weeks out were missed almost twice as often as those booked within a week
Tested whether how far ahead an appointment is booked predicts whether it is kept, using two years of de-identified scheduling counts from three community clinics.
- Logistic regression
- R
- 2 more methods & tools
Skills practiced: Data cleaning Skills practiced: Statistics1 more
EssentialsForecasting the permit review backlog
Headline finding: A two-week staffing dip in March explained most of the backlog that was still there in July
Built a weekly forecast of the permit review queue so the licensing team can see a backlog forming instead of discovering it two months later.
- Time series
- Python
- 2 more methods & tools
Skills practiced: Statistics Skills practiced: Automation1 more