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
27 reviews
COBURN K M
Katie Coburn
3.3
43 reviews
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
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PSTAT 234 Oh Sang-Yun Fall 2023 Total: 19
PSTAT 234 Oh Sang-Yun Fall 2022 Total: 5
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70
2.8
PSTAT120B . Coburn K M 28 Days Ago

Nice person but not very accessible outside of class. Lectures are lackluster, expect to self study a big portion of the class. Dont expect to leave with good knowledge of mathematical statistics.

0 helpful 0 unhelpful
PSTAT120B . Coburn K M 30 Days Ago

I just self-studied for all the materials and got an A. Exams become easy if you can 100% solve all these practice problems.

0 helpful 0 unhelpful
PSTAT134 . Oh Sang-Yun 30 Days Ago

Very bad and boring lectures. Do not take this professor if you actually want to learn anything.

0 helpful 0 unhelpful
PSTAT120B . Coburn K M A Month Ago

The instructor was largely unresponsive to emails, including inquiries about the final exam. Even the TA had difficulty reaching her. Lectures were minimal and lacked depth, requiring significant self-study to truly understand the material. If you're looking for a course with strong guidance and engagement, this might not be the best choice.

0 helpful 0 unhelpful
PSTAT131 . Coburn K M A Month Ago

Good professor with knowledge of the subject. Straightforward in their expectations and lectures.

0 helpful 0 unhelpful
PSTAT120a . Coburn K M 3 Months Ago

The lectures were lackluster and behind schedule, making the course feel a lot harder than it really was. Coburn grades generously, but I feel that I've learned very little in her class.

0 helpful 0 unhelpful
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PSTAT 215A
29 / 30 Enrolled
Bayesian Inference
Alexander Franks 4.8
M W
11:00 AM - 12:15 PM
89.6% A
PSTAT 220B
24 / 40 Enrolled
Advanced Statistical Methods
Yuedong Wang 3.4
M W
17:00 PM - 18:15 PM
58.3% A
PSTAT 223B
9 / 20 Enrolled
Financial Modeling
Jean-Pierre Fouque 4.0
M W
12:30 PM - 13:45 PM
96.8% A
PSTAT 231
17 / 20 Enrolled
Introduction to Statistical Machine Learning
Guo Yu 2.9
T R
11:00 AM - 12:15 PM
77.5% A
PSTAT 231
14 / 20 Enrolled
Introduction to Statistical Machine Learning
Guo Yu 2.9
T R
12:30 PM - 13:45 PM
77.5% A
PSTAT 237
25 / 30 Enrolled
Uncertainty Quantification
Mengyang Michael Gu 3.8
M W
09:30 AM - 10:45 AM
100.0% A