Linear and multiple regression, analysis of residuals, transformations, variable and model selection including stepwise regression, and analysis of covariance. The course will stress the use of computer packages to solve real-world problems.
4
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
CollegeNothing is wrong at all with Pandey as a professor. She has really nice lectures and is super super willing to help. But 126 as a class was very useless. We learned proofs the whole quarter and then randomly got a coding final proj at the end. To be honest I do not know how this class has helped me at all to become a data scientist.
We learned MINIMAL coding in R from Pandey, there were optional labs that the TA's ran. Our final project was in R but she waited until 4 days before to post clear instructions and then graded only on that. My friend who is more knowledgeable than me received a poorer grade because of this. I would not recommend, try to get another professor.
Professor Pandey is one of the best PSTAT professors on campus. She is amazing in office hours and really wants you to digest and learn the material. She is personable and responds to emails and seems to really care about her students. 3 class exams, 1 midterm, homework, pop quizzes, and a final project. But nothing was particularly horrible.
126 was supposed to be a coding class, but with Pandey it was a proofs class. Wouldn't respond to my emails either and would send out last minute help on the homework and project when she should've days before. Final was a coding project with extremely vague instructions and we didn't learn any actual coding all quarter.
Best professor in the PSTAT department, 4 exams and 1 final project. Very good in her lecture.
Best professor ever in the PSTAT department. Very caring. Lectures are mandatory because there will be online pop quizzes, but they are easy. 4 test + 1 final project. Sounds a lot, but the tests are easy if you follow her lectures. She explains every proof so well. Easy A and you will learn a lot! Again, best prof ever.