Introduction to data science. Concepts of statistical thinking. Topics include random variables, sampling distributions, hypothesis testing, correlation and regression. Visualizing, analyzing and interpreting real world data using Python. Computing labs required.

No Prerequisites

5

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
GEs Area C Quant Relationships
Unlocks ENV S 163A EEMB W 146 SOC 205B EEMB 146 MCDB 170 PSY 10A
Disallowed majors prbio aqbio biocm biocs mcrbi envst phrma prbpy prpbs zool
SWENSON J S
Julie Swenson
4.3
92 reviews
SSMS 1007
M W
08:00 AM - 08:50 AM
21 / 25

SSMS 1007
M W
09:00 AM - 09:50 AM
21 / 25

SSMS 1007
M W
10:00 AM - 10:50 AM
25 / 25 Full

SSMS 1007
M W
11:00 AM - 11:50 AM
23 / 25

PHELP1513
M W
19:00 PM - 19:50 PM
4 / 25 Closed

PHELP1513
T R
17:00 PM - 17:50 PM
3 / 25 Closed

PHELP1525
M W
17:00 PM - 17:50 PM
23 / 25

SSMS 1304
M W
18:00 PM - 18:50 PM
25 / 25 Full

SSMS 1304
T R
10:00 AM - 10:50 AM
25 / 25 Full

SSMS 1005
T R
12:00 PM - 12:50 PM
23 / 25

SSMS 1304
T R
13:00 PM - 13:50 PM
24 / 25

SSMS 1303
T R
16:00 PM - 16:50 PM
25 / 25 Full

See All
Winter 2024 . Swenson J S
ON LINE
T
08:00 AM - 09:15 AM
Winter 2025 . Swenson J S
ON LINE
T
08:00 AM - 09:15 AM
See All
PSTAT 5A Swenson J S Winter 2024 Total: 281
PSTAT 5A Swenson J S Fall 2023 Total: 278
See All
95
4.3
PSTAT5A . Swenson J S A Month Ago

Swenson is super caring and is very accessible if you have questions. If you can, attend office hours for more personalized teaching. The class gets a bit tricky later on with a lot of methods/formulas to memorize but an A is very achievable with good effort.

0 helpful 0 unhelpful
PSTAT5A . Swenson J S A Month Ago

Lectures are online, section is learning basic Python and doing worksheets based off the (optional) homework. The material itself was moderate in difficulty. Math required for the class is just simple Algebra and factorials, and a good calculator. Midterms/quizzes were very similar to the homework. If you ACTUALLY do the homework, youll be fine.

0 helpful 0 unhelpful
PSTAT5A . Swenson J S A Month Ago

Professor seems sweet, but if you don't have a good TA you're screwed. She posts lecture videos then recaps them (at a snails pace) during the weekly lecture, but it feels as though you're expected to teach yourself. Learned practically nothing about Python, the class was math heavy. Can't emphasize enough that your experience depends on your TA.

0 helpful 0 unhelpful
PSTAT5A . Swenson J S A Month Ago

great lecturer, extremely helpful online videos, quizzes are basically the same as homework so easy points. The two midterms are easy, the final was a bit hard

0 helpful 0 unhelpful
PSTAT5A . Swenson J S A Month Ago

You can tell the professor cares about her students, but the class is just straight up challenging. There's a lot of material and it moves fast. The midterms and test are hard and you have to rush to get through all of the questions. The final is free response and takes over 2 hours.

0 helpful 0 unhelpful
PSTAT5A . Swenson J S A Month Ago

She is such a sweet lady! Unfortunately statistics was such an easy subject for me in high school, but the hybrid mode just doesn't work for me (or seemingly lots of people in this class). With C or lower averages on every midterm for the class, it seems like the review she does on Thursdays (in person days) just doesn't get the job done.

0 helpful 0 unhelpful
See all 95 reviews
PSTAT 5LS
351 / 350 Full
Statistics for Life Sciences
Jack Miller 4.8
T R
15:30 PM - 16:45 PM
37.6% A
PSTAT 5H
29 / 30 Enrolled
Honors Seminar, Statistics
Katie Coburn 3.4 Wendy Meiring 2.8
T
13:00 PM - 13:50 PM
96.9% A
PSTAT 8
76 / 75 Full
Transition to Data Science, Probability and Statistics
Karen GRIGORIAN 2.7
M W
12:30 PM - 13:45 PM
52.1% A
PSTAT 8
66 / 75 Enrolled
Transition to Data Science, Probability and Statistics
Sharon Solis 3.0 Doris Padilla 2.6
M W
09:30 AM - 10:45 AM
52.1% A
PSTAT 10
299 / 300 Enrolled
Principles of Data Science with R
Dawn Holmes 3.3
T R
11:00 AM - 12:15 PM
37.1% A
PSTAT 100
119 / 125 Enrolled
Data Science Concepts and Analysis
Abuzaid A H
T R
17:00 PM - 18:15 PM
65.8% A