UC_DAVIS · STA · COURSE SHEET
STA 1604 creditsSee offeringsHas prerequisites
Practice in Statistical Data Science
CT Score
1500
#0 of 0 in STA
Difficulty
—/10
Workload
—h/wk
Median grade
—
from grade distribution
Would take again
—
n = 0 verified
Grade distribution
No distribution published for this course.
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →Sections
No section data for this term yet.
In the tree
STA 141A C- or better. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Open to undergraduate Statistics and Data Science majors. Grade Mode: Letter. STA 160 — Practice in Statistical Data Science (4 units) Course Description: Principles and practice of interdisciplinary, collaborative data analysis; complete case study review and team data analysis project. Prerequisite(s): STA 141A C- or better. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics majors; Pass Two restricted to Statistics and Data Science majors. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Open to undergraduate Statistics and Data Science majors. Grade Mode: Letter. STA 160 — Practice in Statistical Data Science (4 units) Course Description: Principles and practice of interdisciplinary, collaborative data analysis; complete case study review and team data analysis project. Prerequisite(s): STA 141A C- or better. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics majors; Pass Two restricted to Statistics and Data Science majors. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027→STA 160→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.