Offered Either Fall or Spring; Lecture hours:3
An introduction to the concepts, core techniques and software of data science; emphasizing both data science principles and methods. Topics may include: computational libraries for data science and visualization; statistical and machine learning algorithms for regression, classification and clustering. Prerequisite: CSCI 204.
...as scientific reasoning, writing, data analysis, critical reading...two courses above the 200 level, at least...
...for understanding and analyzing data from a wide...at or above the 200-level, or an...
...experimentation, analyze and interpret data, and use engineering...Math/science electives are 200-level or above...
...are offered at the 200, 300 and 400...to microeconomic and macroeconomic data and/or information...
...large amount of detailed data now available in...physics consists of four 200 or 300-level...
...than one of the 200-level Psychology Research...collects and analyzes original data to test a...
...experimentation, analyze and interpret data, and use engineering...social sciences. Two approved 200+ level engineering, math...
...experimentation, analyze and interpret data and use engineering...Math/science electives are 200-level or above...
...experimentation, analyze and interpret data, and use engineering...following: any full-credit, 200-level or 300...
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