UC_BERKELEY · DATASCI · COURSE SHEET
DATASCI 2713 creditsSee offeringsHas prerequisites
Applied Time Series Analysis and Forecasting
CT Score
1500
#0 of 0 in DATASCI
Difficulty
—/10
Workload
—h/wk
Median grade
A
from grade distribution
Would take again
—
n = 0 verified
ESTIMATEStarted from public course data. The first verified student reviews replace these numbers.
Grade distribution
Student-reported · course feedback surveys2.2%
52%
24.9%
12.7%
3.1%
1.7%
1.3%
1.7%
0.4%
A+
A
A-
B+
B
B-
C+
C
C-
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
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In the tree
MIDS students only. DATASCI 203. Strong grasp of probability, mathematical statistics, and linear regression. Hands-on experience programming in R. Working knowledge of calculus and linear algebra, including differentiation, integration, and matrix algebra.→DATASCI 271→unlocks 0 courses
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Study groups
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