STA 199: Intro to Data Science
Intro to data science and statistical thinking. Learn to explore, visualize,and analyze data to understand natural phenomena, investigate patterns, model outcomes,and make predictions, and do so in a reproducible and shareable manner. Gain experience in data wrangling and munging, exploratory data analysis, predictive modeling, data visualization, and effectively communicating results. Work on problems and case studies inspired by and based on real-world questions and data. The course will focus on the R statistical computing language.
Course info
Lecture All Students Mon and Wed 10:15a - 11:30a
Labs Lab 05 Thu 8:30a - 9:45a
Lab 06 Thu 3:30p - 4:45p
Lab 07 Thu 5:15p - 6:30p
Lab 08 Asynchronous
Join live lectures, labs, and office hours using the Zoom links in Sakai.
Click on the schedule tab to keep up with all activities and assignments.
Teaching team and office hours
Instructor Prof. Maria Tackett Mon 1p - 2p
TAs Salvador Arellano Tue 10a - 12p
Morris Greenberg Fri 12p - 1p
Caroline Levenson Wed 2p - 4p
Ezinne Nwankwo Mon & Wed 8:30a - 9:30a
Matty Pahren Tue & Thu 2p - 3p
Felipe Ossa Wed & Fri 5p - 6p
R Support TA George Lindner Tue 5p - 6p & Fri 3:30p - 4:30p
Click on the Help tab for information about office hours, Piazza, and othe resources.