Applied Statistics for Social Science Research (MS)
New York University · NY · APPLIED-STATISTICS-SOCIAL-SCIEN-r8s4y
Applied Statistics for Social Science Research (MS) is a Postgraduate degree at New York University, NY. It covers areas like statistical learning, data mining, statistical computing, applied statistics, data science, data analytics. The summary below is compiled from public course information — approximate, not official.
New York University
Postgraduate
What you'll study in Applied Statistics for Social Science Research (MS)
Example subjects: Interm Quantitative Methods: General Linear Model, Introductory Statistical Inference in R, Supervised and Unsupervised Machine Learning, Causal Inference, Missing Data, Databases and Data Science Practicum, Multi-Level Modeling: Nested Data/Longitudinal Data, Generalized Linear Models and Extensions, Messy Data and Machine Learning, Ethics of Data Science, Modern Approaches in Measurement, Frequentist Inference.
Frequently asked questions
What will I study in Applied Statistics for Social Science Research (MS)?
Applied Statistics for Social Science Research (MS) covers areas like statistical-learning, data-mining, statistical-computing, applied-statistics, data-science, data-analytics, quantitative-research-methods, data-analysis.
Who offers Applied Statistics for Social Science Research (MS)?
Applied Statistics for Social Science Research (MS) is offered by New York University, NY.
Considering Applied Statistics for Social Science Research (MS)?
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Sources: New York University official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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