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Regression I: Linear Regression and Modeling

New York University · NY · GPH-GU2353

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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 4 degrees. The information below is compiled from public course material — approximate, not official.

University
New York University
Code
GPH-GU2353
Credit points
3.00

Topics covered

econometricsmachine-learningmodellingrisk-modelling

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 4 degrees, including Bioethics (MA), Biostatistics (MS), Public Health Data Science (Advanced Certificate), Public Health (MPH).

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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