Overview of data science key concepts and the use of tools for data retrieval, analysis, visualization, and reproducible research in preparation for advanced data science courses. Topics include an introduction to inference and prediction, principles of measurement, missing data, and notions of causality, statistical traps, and concepts in data ethics and privacy.

Prerequisites: PSTAT 120A; CS 9 or CS 16; and Math 4A, all with letter grade C or better.

4

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
These majors only prsds finms stsds actsc
YU G H
Guo Yu
2.8
29 reviews
ILP 3209
M
14:00 PM - 14:50 PM
0 / 25

ILP 3209
M
15:00 PM - 15:50 PM
0 / 25

GIRV 2129
M
16:00 PM - 16:50 PM
0 / 25

ILP 3209
M
17:00 PM - 17:50 PM
0 / 25

ILP 3205
M
18:00 PM - 18:50 PM
0 / 25

ILP 4107
M
13:00 PM - 13:50 PM
0 / 25

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Spring 2024 . T B A
BUCHN1940
T R
09:30 AM - 10:45 AM
Fall 2024 . Abuzaid A H
NH 1006
T R
17:00 PM - 18:15 PM
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PSTAT 100 Marzban E P Summer 2025 Total: 45
PSTAT 100 Abuzaid A H Spring 2025 Total: 109
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29
2.8
PSTAT131 . Yu G H 8 Months Ago

Definitely avoid if you can. Unfair exams, more focused on confusing and tricking students than assessing their knowledge of the material

0 helpful 0 unhelpful
PSTAT232 . Yu G H 8 Months Ago

This class was a mess. The professor just read off the slides, never explained anything clearly, and didn't seem to care if we understood. Grading felt random, and office hours were useless. I came in hoping to learn stats, but mostly left confused and frustrated. Wouldn't recommend at all.

0 helpful 0 unhelpful
PSTAT131 . Yu G H 9 Months Ago

Terrible professor. Lectures are disorganized and confusing, and he rarely answers questions clearly. He reads straight from the slides without explaining concepts. Grading is inconsistent, and there's no feedback on assignments. Office hours feel rushed and unhelpful. I learned more from YouTube than from class.

0 helpful 0 unhelpful
PSTAT131 . Yu G H 9 Months Ago

Don't know what's up with the negative reviews. I agree that lectures were focused on theoretical concepts it's math course so what do you expect? He knows the material inside out, with well-structured homeworks that actually help you understand the content. Final exam was fair, it's just that without a midterm we didn't know what was expected.

0 helpful 0 unhelpful
PSTAT131 . Yu G H 9 Months Ago

Lectures were pretty useless, though he does know his stuff. Final exam was poorly written, class average of 50% (though he did curve the final grades). Provided 4 bullet points for instructions on the final project.

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PSTAT131 . Yu G H 10 Months Ago

Guo seems friendly and approachable at first, as well as knowledgeable in machine learning concepts, but his teaching style doesn't convey that much. Sections seemed practically useless, lectures focused too heavily on theory with little to no explanations, and course expectations, like for the final project, were outlined weakly and much too late.

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PSTAT 99
0 / 0 Full
Independent Studies in Statistics
T B A
PSTAT 120A
0 / 300 Enrolled
Probability and Statistics
Brian Wainwright 3.1
M W
14:00 PM - 15:15 PM
PSTAT 120B
0 / 150 Enrolled
Probability and Statistics
Brian Wainwright 3.1
M W
12:30 PM - 13:45 PM
PSTAT 120A
0 / 100 Enrolled
Probability and Statistics
V. PALANIAPPAN 2.8
T R
11:00 AM - 12:15 PM
PSTAT 120C
0 / 100 Enrolled
Probability and Statistics
Ali Abuzaid 4.1
M W
17:00 PM - 18:15 PM
PSTAT 120B
0 / 150 Enrolled
Probability and Statistics
Amos Natido 4.0
M W
08:00 AM - 09:15 AM