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

Graduate students only

Level Limit

Letters and science

College
Laura Baracaldo
1.8
24 reviews
SSMS 1304
M
10:00 AM - 10:50 AM
5 / 5 Full

SSMS 1304
M
11:00 AM - 11:50 AM
5 / 5 Full

SSMS 1304
M
12:00 PM - 12:50 PM
5 / 5 Full

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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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24
1.8
PSTAT100 . 20 Days Ago

She knows a lot but can not express it in understandable way, the lectures were not organized, slides are incomplete because she writes additional notes during lecture. No clue what to focus on before final and midterms and didn't even follow her own syllabus. Take her course if you want to lower you GPA and waste time.

0 helpful 0 unhelpful
PSTAT131 . 3 Months Ago

Prof Baracaldo is not the best at explaining 131 material; she goes rly deep into all of statistical ML proofs and is often times confusing. She's nice though and gives good feedback on project if you approach her after class. HW and quizzes are not bad. TA is rly helpful. Overall not a hard class but ML concepts are hard to understand in general.

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PSTAT131 . 4 Months Ago

Super nice professor, class was very fairly graded on easy homework and final project, clear grading criteria. Available after class and at office hours to answer any and all questions, will help you directly with any specific problem. Quizzes were very simple and open book/internet, just a basic check to make sure you're paying attention.

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PSTAT100 . 5 Months Ago

I am the PSTAT 115 student.the best professor I have ever met at UCSB. Well-prepared and organized lecture The exams are not easy, but if you follow her step, you will do well on the exams. she should not got low grade, she is so patient when answer my question.I got 100% on canvas, it gives me confidence and I really love it and the professor

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pstat126 . 8 Months Ago

4 HW's with 1.5 weeks to finish each, 3 online quizzes bi-weekly. Lectures were so confusing but necessary to succeed so attend all. Midterm and final both took questions from the practice exam and had 50% R output interpretation 30% Derivation/Proof 20% MC/TF and extra credit. Attend sections right before the exam, TA's went over helpful topics.

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pstat134 . 8 Months Ago

If you want to be concerned about whether you will graduate on time due to a single question on a single exam, this is the class to take. Prof never responds to emails/Nectir (Slack).

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PSTAT 222C
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100.0% A
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ADVANCED TOPICS IN FINANCIAL MODELING
Michael Ludkovski 3.3
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12:30 PM - 13:45 PM
96.8% A
PSTAT 230
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T R
11:00 AM - 12:15 PM
88.6% A
PSTAT 231
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12:30 PM - 13:45 PM
77.5% A
PSTAT 232
30 / 30 Full
Computational Techniques in Statistics
Guo Yu 2.9
M W
11:00 AM - 12:15 PM
87.8% A
PSTAT 235
25 / 25 Full
Big Data Analytics
Sang-Yun Oh 2.3
T R
15:30 PM - 16:45 PM
83.8% A