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Welcome to the course website for Sta-230, Introduction to Data Science. To begin, you can find the course syllabus linked below:
You can locate course content by scrolling, or by using the navigation bar in the upper left.
Note: Some material may not be posted until we’ve reached that point in the course.
Sta-230 uses a workshop style class format. This means that the majority of our class time will be devoted towards collaboratively working through guided lab activities. You should consult the syllabus for a more detailed description of lab procedures and expectations.
Lab Topics and Links:
R
ggplot2)tidyr)dplyr)stringr)lubridate)
plotly)leaflet
and ggplot)
shiny)
Throughout the semester there will be 6-7 homework assignments:
There will be 3 major projects during the semester. Details on each project will be posted no later than 2 weeks before the project’s first deadline.
The following readings are recommended in conjunction with the block of material they cover. They are intended to provide another perspective on the topics we’ll cover: