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Multi-Level Modeling: Nested Data/Longitudinal Data

New York University · NY · APSTA-GE2042

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Multi-Level Modeling: Nested Data/Longitudinal Data is a subject at New York University, NY. It covers topics like data-mining, data-structures, deep-learning, modelling. It is part of 2 degrees. The information below is compiled from public course material — approximate, not official.

University
New York University
Code
APSTA-GE2042
Credit points
3.00

Topics covered

data-miningdata-structuresdeep-learningmodelling

Degrees that include Multi-Level Modeling: Nested Data/Longitudinal Data

Frequently asked questions

What is Multi-Level Modeling: Nested Data/Longitudinal Data about?

Multi-Level Modeling: Nested Data/Longitudinal Data covers topics like data-mining, data-structures, deep-learning, modelling.

Which degrees include Multi-Level Modeling: Nested Data/Longitudinal Data?

Multi-Level Modeling: Nested Data/Longitudinal Data is part of 2 degrees, including Applied Statistics for Social Science Research (MS), Public Health (PhD).

How many credit points is Multi-Level Modeling: Nested Data/Longitudinal Data?

Multi-Level Modeling: Nested Data/Longitudinal Data at New York University is typically around 3.00 credit points. Approximate — confirm with the university.

Where is Multi-Level Modeling: Nested Data/Longitudinal Data taught?

Multi-Level Modeling: Nested Data/Longitudinal Data is taught at New York University, NY.

Studying Multi-Level Modeling: Nested Data/Longitudinal Data?

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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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