MATH 810 Applied Statistics

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MATH 810 Applied Statistics course assists you to guide structure, social and scientific advances. This course uses industry-standard applications and computer code (R and Python) for numerical reasoning and prognosticative knowledge modeling, with an abstract instead of theoretical understanding

Topics you will learn in this course are:

• Bootstrap
• Correlated errors
• Data snooping
• Interactions and qualitative variables
• Multiple rectilinear regression
• Penalized regression
• Poisson
• Regression and prediction
• Simple rectilinear regression
• Transformations
• Variance and cross-validation

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