Regression I: Linear Regression and Modeling
New York University · NY · GPH-GU3353
Regression I: Linear Regression and Modeling is a subject at New York University, NY. It covers topics like econometrics, machine-learning, modelling, risk-modelling. It is part of 2 degrees. The information below is compiled from public course material — approximate, not official.
New York University
GPH-GU3353
3.00
Topics covered
Degrees that include Regression I: Linear Regression and Modeling
Frequently asked questions
What is Regression I: Linear Regression and Modeling about?
Regression I: Linear Regression and Modeling covers topics like econometrics, machine-learning, modelling, risk-modelling.
Which degrees include Regression I: Linear Regression and Modeling?
Regression I: Linear Regression and Modeling is part of 2 degrees, including Nursing Research and Theory Development (PhD), Public Health (PhD).
How many credit points is Regression I: Linear Regression and Modeling?
Regression I: Linear Regression and Modeling at New York University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Regression I: Linear Regression and Modeling taught?
Regression I: Linear Regression and Modeling is taught at New York University, NY.
Studying Regression I: Linear Regression and Modeling?
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Sources: New York University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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