Introduces students to foundational programming concepts for data analysis and visualization and fundamental concepts in probability and mathematics (random variables, set theory, simulations, series and integration), serving as preparation for follow-up major gateway courses in PSTAT. The material is organized into distinct modules and includes a brief introduction to R, Python, tidy data framework, data science ethics, and exploratory data analysis. Students will also explore research areas in the discipline, departmental and campus study resources, undergraduate research opportunities, and diverse career tracks available to Statistics & Data Science graduates.
2
UnitsPass no pass
Grading1, 2, 3
PasstimeNew student only
Level LimitLetters and science
CollegeOverall really nice prof, cares to get to know her students. The disrespect doesn't make sense on here
Good professor with fair grading criteria. Gives practice exams that are similar to the real exams. Kind lady with a real passion for teaching. Brought cookies for our class and gave them to those who participated
Tbh a kind and caring professor. Do not understand the hate on here, she's a very nice lady and definitely cares deeply about her students.
Great prof over all, really cares about her students well being. Talked about wanting to help students get into research and was very willing to give career advice outside of class time. You can tell teaching is her passion, and although her style isnt for everyone I think she was great. Don't understand the negative comments, it's unwarranted.
The only thing that mattered about this class was the weekly two sections. I found her lecture to be hard to understand but easy to learn on my own or through my TA. The majority of the grade is fluff which is nice however I felt unprepared for the final which is our only test. Take her class though because I heard the other ones are harder.
She's fine. If you are planning to take pstat 10, I would recommend her. She talks a lot about how to become a data engineer, which is not so related to this course but related to your future job.