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
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HOLMES D E
Dawn Holmes
3.3
160 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 2024 Total: 234
PSTAT 10 Holmes D E Winter 2024 Total: 261
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160
3.3
PSTAT10 . Holmes D E 20 Days 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 A Month 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 3 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 3 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
PSTAT10 . Holmes D E 3 Months Ago

prof is a sweet lady. lectures are good, make sure to read through the slides and take notes beforehand. midterms were fine, very detail oriented. however, the final was insane. super detail oriented on things no one would study or know. make sure you study every single possible detail of codes, syntax, rules, and even the possible error codes

0 helpful 0 unhelpful
PSTAT10 . Holmes D E 3 Months Ago

Holmes's attitude was rude and her questions extremely unfair, you quickly get the overwhelming sense she does not want you to succeed, worst professor I have had, for years students have been telling her that her questions are unfair but nothing changes

1 helpful 0 unhelpful
See all 160 reviews
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