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CSCE 320

Principles of Data Science

Texas A&M University 3 credits CSCE

Course Description

Theoretical foundations, algorithms and methods of deriving valuable insights from data; includes foundations in managing and analyzing data at scale, e.g. big data; data mining techniques and algorithms; exploratory data analysis; statistical methods and models; data visualization. Prerequisites: STAT 211 or ECEN 303; STAT 212 or CSCE 222; MATH 304. Cross Listing: STAT 335/CSCE 320.

Code
CSCE 320
Credits
3
Subject
CSCE

Programs That Include This Course

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