Introduction to data science. Concepts of statistical thinking. Topics include random variables, sampling distributions, hypothesis testing, correlation and regression. Visualizing, analyzing and interpreting real world data using Python. Computing labs required.
5
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
CollegeThere is one online lecture, but it is actually three self-paced videos each week. Each video has questions, and you get credit by answering just one correctly. She really tries to make the class easier for everyone and grades generously. I like professors like this. I recommend TA Monte's section—very responsible and attentive.
Professor Swenson is such a clear teacher and she is super nice! The class has two lectures with one being online. She will post videos that you can watch at your own time. There are two midterms that are multiple choice and a final exam that is free response. If you do the homework and you pay attention in class the course should be pretty easy.
Lecture videos are clear and well-explained. I went to office hour for five times to listen to her explanation on homework. It was totally worth it. She has the ability to explain every concept clearly. Mid-terms are multiple choice. The lab questions are a bit confusing. The Final exam is harder but if you really study, you will get an easy A+.
she's super kind and i really enjoyed the class. tests are heavy but nothing that you haven't done in class already. very straight forward
she is awesome. i took stats in high school and hated it, but after this class i genuinely want to switch my major to stats & data science. love that lady
Your TA really determines how well you do in the class, and it feels like you teach yourself throughout the entire course with the way it is structured.