CORNELL · STSCI · COURSE SHEET
STSCI 47804 creditsSpringHas prerequisites
Bayesian Data Analysis: Principles and Practice
CT Score
1500
#0 of 0 in STSCI
Difficulty
6/10
Workload
—h/wk
Median grade
—
from grade distribution
Would take again
—
n = 0 verified
ESTIMATEStarted from public course data. The first verified student reviews replace these numbers.
Grade distribution
No distribution published for this course.
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
DK
Dan Kowal
10 community ratings
4.8
——Sections
No section data for this term yet.
In the tree
Basic multivariate differential and integral calculus (e.g., MATH 1120 or MATH 2220), basic linear algebra (e.g., MATH 2210, MATH 2310 or MATH 2940), familiarity with some programming language or numerical computing environment (like R, Python, MATLAB, Octave, IDL).→STSCI 4780→unlocks 0 courses
No mapped courses require this one yet. See on the map →
Study groups
0 active🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.