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5405. Applied Statistics for Data Science

3.00 credits

Prerequisites:

Grading Basis: Graded

Statistics essential for data science incorporating descriptive statistics; integrative numerical description and visualization of data; graphical methods for determining and comparing distributions of data; data-driven statistical inference of one-sample, two-sample, and k-sample problems; linear regression; non-linear regression; and dependent data models.


Last Refreshed: 20-DEC-24 05.20.17.275138 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Section Class Number Notes Instructor Enrollment Session Instruction Mode
001 9281 Ravishanker, Nalini
Park, Shinyoo
23/40 Reg Online Asynchronous