Students explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction, and decision-making. The course focus is on transforming and analyzing data; machine learning methods including regression, classification and clustering; principles behind data visualizations; concepts of measurement error and prediction; and techniques for scalable data processing.

Prerequisites: Computer Science 5A or Computer Science 8 or ECE 3 with a grade of C or better.

4

Units

Letter

Grading

1, 2, 3

Passtime

None

Level Limit

Engineering

College
GEs Area C Quant Relationships
Disallowed majors cmpsc
CONRAD P T
Phill Conrad
4.5
78 reviews
AI predicted, based on past grading trends of the course and instructor, class info, and 127 other factors
PHELP1440
F
13:00 PM - 13:50 PM
0 / 33

PHELP1440
F
14:00 PM - 14:50 PM
0 / 33

PHELP1440
F
15:00 PM - 15:50 PM
0 / 34

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Winter 2024 . Solis S W
ILP 2211
T R
12:30 PM - 13:45 PM
Spring 2024 . Solis S W
ILP 2211
T R
15:30 PM - 16:45 PM
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CMPSC 5B Solis S W Spring 2024 Total: 32
CMPSC 5B Solis S W Winter 2024 Total: 33
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78
4.5
CMPSCI5A . Conrad P T 7 Months Ago

love this professor he is so passionate about teaching and the course is set up in a way that helps you actually learn rather than just memorize things for an exam (no exams only projects + extra credit assignments). good amount of work every week but not difficult if you try to learn it.

0 helpful 0 unhelpful
CS156 . Conrad P T 7 Months Ago

Decent professor teaching a very easy class. The course is well-structured and instructors are accessible nearly all the time. It is important to have cooperative teammates, since the course is fundamentally structured as a massive group assignment.

0 helpful 0 unhelpful
CS192 . Conrad P T 7 Months Ago

Great professor who inspires students. Understands the industry throughly and gives thought out advice for those looking for guidance.

0 helpful 0 unhelpful
CS156 . Conrad P T 8 Months Ago

Professor Conrad is genuinely one of the best professors at UCSB, he is a great instructor and teacher, demanding but fair, and above all he is understanding. The course is very well structured and taught by an excellent teaching staff accessible even during late nights. Cannot recommend taking CS156 enough with Professor Conrad.

0 helpful 0 unhelpful
CS156 . Conrad P T 8 Months Ago

Conrad operates less like a CS instructor and more like an off-brand theatre director, one with a flair for dramatics. He confuses authority with entitlement, treating minor classroom issues like personal vendettas. At one point, he even erupted at an entire team mid-class, presumably mistaking the situation for opening night.

0 helpful 1 unhelpful
CMPSCI5A . Conrad P T 10 Months Ago

Prof Conrad is nice, engaging, and makes lecture fun. In lecture you learn how to code and then apply that in weekly labs. There is also lots of extra credit. The labs also incorporate ChatGPT which is nice. You will probably have to meet with the ULAs because some questions are very tricky. Midterm and final are group project labs. Great course!

0 helpful 0 unhelpful
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CMPSC 5A
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