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Statistical Methods II: Multiple Regression and Introduction to Econometrics

New York University ยท NY ยท PADM-GP2902

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Statistical Methods II: Multiple Regression and Introduction to Econometrics is a subject at New York University, NY. It covers topics like econometrics, mathematical-economics, statistical-computing, statistical-learning. It is part of 7 degrees. The information below is compiled from public course material โ€” approximate, not official.

University
New York University
Code
PADM-GP2902
Credit points
3.00

Topics covered

econometricsmathematical-economicsstatistical-computingstatistical-learning

Degrees that include Statistical Methods II: Multiple Regression and Introduction to Econometrics

Frequently asked questions

What is Statistical Methods II: Multiple Regression and Introduction to Econometrics about?

Statistical Methods II: Multiple Regression and Introduction to Econometrics covers topics like econometrics, mathematical-economics, statistical-computing, statistical-learning.

Which degrees include Statistical Methods II: Multiple Regression and Introduction to Econometrics?

Statistical Methods II: Multiple Regression and Introduction to Econometrics is part of 7 degrees, including Health Policy and Management: Health Policy Analysis (Advanced Certificate), Health Policy and Management (MPA), Program Evaluation and Impact Assessment (Advanced Certificate), Public and Nonprofit Management and Policy (Advanced Certificate), Public and Nonprofit Management and Policy (MPA).

How many credit points is Statistical Methods II: Multiple Regression and Introduction to Econometrics?

Statistical Methods II: Multiple Regression and Introduction to Econometrics at New York University is typically around 3.00 credit points. Approximate โ€” confirm with the university.

Where is Statistical Methods II: Multiple Regression and Introduction to Econometrics taught?

Statistical Methods II: Multiple Regression and Introduction to Econometrics is taught at New York University, NY.

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Sources: New York University public course catalogue. Information is compiled and summarised โ€” not copied verbatim โ€” and is approximate; always confirm with the original source.

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