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所在平台: EdxArchive 课程类别: 其他类别 大学或机构: GTx 授课老师： Nicoleta Serban |
课程主页: https://www.edx.org/archive/statistical-modeling-regression-analysis-gtx-isye6414x
课程评论：没有评论
An introduction to commonly used linear regression models along with detailed implementation of the models within real data examples using the R statistical software.
Regression Analysis is the most common statistical modeling approach used in data analysis and it is the basis for more advanced statistical and machine learning modeling.
In this course, you will be given fundamental grounding in the use of widely used tools in regression analysis. You will learn the basics of regression analysis such as linear regression, logistic regression, Poisson regression, generalized linear regression and model selection.
Throughout this course, you will be exposed to not only fundamental concepts of regression analysis but also many data examples using the R statistical software. Thus by the end of this course, you will also be familiar with the implementation of regression models using the R statistical software along with interpretation for the results derived from such implementations.
This course is more about the opportunity for individual discovery than it is about mastering a fixed set of techniques.
