Overview and use of data science tools in R and/or Python for data retrieval, analysis, visualization, reproducible research, and automated report generation. Case studies will illustrate the practical use of these tools.

Prerequisites: PSTAT 131 or PSTAT 231 or Computer Science 165B; and Computer Science 9 or Computer Science 16. A minimum letter grade of C or better must be earned in each course.

4

Units

Optional

Grading

1, 2, 3

Passtime

None

Level Limit

Letters and science

College
OH SANG-YUN
Sang-Yun Oh
2.3
26 reviews
COBURN K M
Katie Coburn
3.4
38 reviews

Lecture

SH 1430
T R
15:30 PM - 16:45 PM
17 / 30

Sections

GIRV 2119
W
09:00 AM - 09:50 AM
0 / 5
ILP 4207
W
10:00 AM - 10:50 AM
0 / 5
PHELP1445
W
12:00 PM - 12:50 PM
0 / 5
SH 1430
F
09:00 AM - 09:50 AM
17 / 30
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Spring 2024 . Baracaldo Lan
BUCHN1920
M W
09:30 AM - 10:45 AM
Fall 2024 . T B A
CHEM 1171
T R
15:30 PM - 16:45 PM
See All
PSTAT 234 Oh Sang-Yun Fall 2023 Total: 19
PSTAT 234 Oh Sang-Yun Fall 2022 Total: 5
See All
64
2.8499999999999996
PSTAT120a . Coburn K M 5 Days Ago

Frequently made mistakes on example problems and often did not give clear answers to student questions. Resulting slow pace led to us missing 2 full weeks of content. Didn't really promote understanding of material, just how to plug in formulas. Honestly not even worth the easy A for PSTAT majors. Take someone else if possible

0 helpful 0 unhelpful
PSTAT120C . Coburn K M 3 Months Ago

Dr. Coburn is a really sweet lady and posts all her lecture videos online for 120C. The exams are tough and you won't find the answers in hw or anything, but doable if you watch all the lecture videos in entirety. Pay close attention to hw because it is graded with scrutiny. She is super caring and helpful in office hours so definitely go.

0 helpful 0 unhelpful
PSTAT120B . Coburn K M 4 Months Ago

confusing lectures, doesnt teach and doesnt respond to emails. the midterm was hard (way too hard for undergrad class) and you dont really learn anything so if youre a stats major pls dont take her

0 helpful 1 unhelpful
PSTAT120B . Coburn K M 6 Months Ago

Her lectures were pretty incomprehensible and hard to follow. She will literally never respond to emails and TAs can't get a hold of her. Homework and quizzes were graded on completion which helped your grade but did not help you learn. The midterm was extremely difficult that she had to make the final exactly like the review and midterm.

0 helpful 1 unhelpful
PSTAT131 . Coburn K M 7 Months Ago

She was really organised for this class and fair and it was pretty easy to do well. 5 homeworks - one due every two weeks worth 10% each, and you were allowed submit up to two homeworks up to a week late with no penalty. Final project worth 50% which you could do on whatever and she tells you all about that right at the start.

1 helpful 0 unhelpful
PSTAT131 . Coburn K M 7 Months Ago

I took Coburn for 120A my junior year and didn't love her as I felt like she didn't teach us enough. This course, on the other hand, she teaches very well. It's a lot of fun as 50% of the class is working on a final project and the rest is homeworks that help you with that project. She's genuinely fantastic at teaching this class.

0 helpful 0 unhelpful
See all 64 reviews
PSTAT 215A
30 / 30 Full
Bayesian Inference
Alexander Franks 5.0
M W
11:00 AM - 12:15 PM
89.6% A
PSTAT 220B
25 / 40 Enrolled
Advanced Statistical Methods
Yuedong Wang 3.1
M W
17:00 PM - 18:15 PM
58.3% A
PSTAT 223B
11 / 20 Enrolled
Financial Modeling
Jean-Pierre Fouque 3.8
M W
12:30 PM - 13:45 PM
96.8% A
PSTAT 231
14 / 20 Enrolled
Introduction to Statistical Machine Learning
Guo Yu 3.1
T R
12:30 PM - 13:45 PM
77.5% A
PSTAT 231
20 / 20 Full
Introduction to Statistical Machine Learning
Guo Yu 3.1
T R
11:00 AM - 12:15 PM
77.5% A
PSTAT 237
28 / 30 Enrolled
Uncertainty Quantification
Mengyang Michael Gu 3.8
M W
09:30 AM - 10:45 AM
100.0% A