UCSBPlat.com directly in your GOLD Try it Now

Fundamentals of programming for data science using R. Descriptive statistics, distributions and graphics in R. Relational database management systems including the relational model, relational algebra, database design principles and data manipulation using SQL. An introduction to the concept of big data.

Prerequisites: Math 2B or 3B with a minimum grade of C or better.

5

Units

Optional

Grading

1, 2

Passtime

None

Level Limit

Letters and science

College
Unlocks PSTAT 140 PSTAT 123 PSTAT 105 PSTATW 174 PSTAT 175 PSTAT 5H
These majors only stats
HOLMES D E
Dawn Holmes
3.2
164 reviews
PHELP1526
T R
08:00 AM - 08:50 AM
25 / 25 Full

SSMS 1005
M W
16:00 PM - 16:50 PM
25 / 25 Full

SSMS 1304
T R
09:00 AM - 09:50 AM
25 / 25 Full

SSMS 1005
T R
10:00 AM - 10:50 AM
25 / 25 Full

SSMS 1304
M W
08:00 AM - 08:50 AM
25 / 25 Full

SSMS 1304
M W
09:00 AM - 09:50 AM
25 / 25 Full

SSMS 1304
M W
10:00 AM - 10:50 AM
25 / 25 Full

SSMS 1304
M W
11:00 AM - 11:50 AM
25 / 25 Full

SSMS 1007
M W
12:00 PM - 12:50 PM
25 / 25 Full

ILP 2207
T R
16:00 PM - 16:50 PM
25 / 25 Full

ILP 4209
M W
14:00 PM - 14:50 PM
25 / 25 Full

PHELP1526
M W
15:00 PM - 15:50 PM
24 / 25

See All
Winter 2024 . Holmes D E
CHEM 1179
W F
12:30 PM - 13:45 PM
Spring 2024 . Holmes D E
ILP 2302
W F
12:30 PM - 13:45 PM
See All
PSTAT 10 Holmes D E Spring 2025 Total: 235
PSTAT 10 Holmes D E Fall 2024 Total: 287
See All
164
3.2
PSTAT10 . Holmes D E 5 Months Ago

Avoid her at all costs! she's sweet lady but a terrible teacher who makes the course unnecessarily hard. The grade is based on two midterms(20%x2) and a final(50%).The midterms were very tricky. Prepare to face 50 ridiculous questions for the final. Students have been complaining about the unfairness of the questions for years but she doesn't care.

0 helpful 0 unhelpful
PSTAT10 . Holmes D E 6 Months Ago

The exams are not related to the lectures. If this is a major course for you and you want to get an A, RUN!!!! Exams are worth 90% of your grade, and no way to get a good grade on exams.

0 helpful 0 unhelpful
PSTAT10 . Holmes D E 8 Months Ago

Took PSTAT10 with her over Fall quarter and was a terrible decision. She is a very nice lady, but the way the grading in the class was structured was very poor. The final was all MCQ and worth 50% of our grade. Final was completely different material than what she goes over in lecture. Worse class/grade I had so far at UCSB.

0 helpful 0 unhelpful
PSTAT10 . Holmes D E 9 Months Ago

Very nice lady, but vast majority of the grade was the two midterms and the final. Midterms weren't bad. Final, while said to be cumulative, was mostly the last few lectures and much harder. She curved it so I ended up with a B- in the class but as the final was worth 50% it tanked my grade from an A to a C+ before the curve. Be ready to work.

1 helpful 0 unhelpful
PSTAT10 . Holmes D E 11 Months Ago

The final was 50% of the grade and was quite difficult. If you keep up with the homework, worksheets, and lectures then the class isn't too difficult. The final was tough but she curved the grade. I personally wouldn't go to the professors office hours, go to the TA instead.

0 helpful 0 unhelpful
PSTAT10 . Holmes D E 11 Months Ago

Cool prof, spoke to her during the quarter in OH/before class. Given my grade though, it wasn't her teaching style, but the 2 midterms+intimidating 50% final w/ detail-heavy questions which make up a majority of your grade that makes it tough (as others said). She curves but unless you want a challenging intro to R/data science, I'd look elsewhere

0 helpful 0 unhelpful
See all 164 reviews
PSTAT 5A
235 / 250 Enrolled
Understanding Data
Julie Swenson 4.3
T
08:00 AM - 09:15 AM
32.3% A
PSTAT 5H
29 / 30 Enrolled
Honors Seminar, Statistics
Katie Coburn 3.3 Wendy Meiring 2.8
T
13:00 PM - 13:50 PM
96.8% A
PSTAT 5LS
351 / 350 Full
Statistics for Life Sciences
Jack Miller 4.7
T R
15:30 PM - 16:45 PM
39.7% A
PSTAT 8
66 / 75 Enrolled
Transition to Data Science, Probability and Statistics
Sharon Solis 3.0 Doris Padilla 2.9
M W
09:30 AM - 10:45 AM
46.1% A
PSTAT 8
76 / 75 Full
Transition to Data Science, Probability and Statistics
Karen GRIGORIAN 2.8
M W
12:30 PM - 13:45 PM
46.1% A
PSTAT 100
119 / 125 Enrolled
Data Science Concepts and Analysis
Abuzaid A H
T R
17:00 PM - 18:15 PM
71.8% A