Very fair professor, while the content can be difficult her lecture slides are very detailed and she explains them very well. There are 2 "class exams", a midterm and a final so it can be a lot but she gives plenty of resources to help study for them. Difficult class but study well and take advantage of an amazing professor and you will be fine!

Puja Pandey is the goat. Explains fairly dense material in an intuitive way. 4 homeworks (30%, part writing/theoretical, part coding, lowest dropped), 6 pop quizzes (10%, lowest dropped), 2 in-class exams, 1 midterm, 1 final (all exams 20% each). Very fair study guide questions and exam difficulties, super nice in OH.

Nothing 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.