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, and data visualization, and effective communication of 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.


Welcome to STA 199 - Intro to Data Science. This is the course website for spring 2021, Section 003. Much of the information you will need throughout the semester can be found here. Please read the syllabus thoroughly, and take a look at the course schedule for topics covered and when assessments are assigned.


Course meetings

Zoom links for all meetings and their recordings can be found in Sakai.

Lecture

  • Section 003:   Wed and Fri 8:30am - 9:45am

Lab

  • Section 09L:   Tue 7:00pm - 8:15pm
  • Section 10L:   Tue 3:30pm - 4:45pm
  • Section 11L:   Tue 5:15pm - 6:30pm
  • Section 12L:   Asynchronous Online

Teaching team and office hours

Zoom links for all office hours can be found in Sakai.

Instructor
Shawn Santo        Wed 12:30pm - 1:30pm, Thu 11:00am - 12:00pm

Teaching Assistants
Frances Hung  
Rob Kravec   Mon 4:00pm - 5:00pm, Wed 4:00pm - 5:00pm
Matty Pahren   Mon 2:00pm - 3:00pm, Thu 10:00am - 11:00am
Preetha Ramachandran   Sun 5:00pm - 6:00pm, Fri 12:00pm - 1:00pm
Aasha Reddy   Mon 7:00pm - 9:00pm


All times listed are in Eastern Time.