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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-with-r-advanced-level/
课程评论：没有评论
## Coursera 课程总结：R 语言高级统计分析 本课程是 **“R 语言统计分析 - 高级水平”**，专为希望在 R 软件中进行进阶统计分析的学习者设计。本课程将全面、直观、分步地讲解多种复杂的统计分析技术，无需学员再花费大量时间搜索零散的资料。 **课程内容涵盖：** **一、均值差异的评估技术：** * **进阶方差分析 (ANOVA)：** * 协方差分析 (ANCOVA) * 被试内方差分析 (Within-subjects ANOVA) * 混合方差分析 (Mixed ANOVA) **二、预测技术：** * **逻辑回归 (Logistic Regression)：** 适用于因变量为非连续（即分类）变量的情况。 * 二项逻辑回归 (Binomial Logistic Regression) * 有序逻辑回归 (Ordinal Logistic Regression) * 多项逻辑回归 (Multinomial Logistic Regression) **三、分组技术：** * **降维与数据探索：** * 多维尺度分析 (Multidimensional Scaling) * 主成分分析 (Principal Component Analysis) * 因子分析 (Factor Analysis) * 简单及多元对应分析 (Simple and Multiple Correspondence Analysis) * **聚类分析 (Cluster Analysis)：** * K-均值聚类 (K-means Clustering) * 层次聚类 (Hierarchical Clustering) * **判别分析 (Discriminant Analysis)：** * 简单判别分析 (Simple Discriminant Analysis) * 多元判别分析 (Multiple Discriminant Analysis) 完成本课程后，学员将能够运用 R 语言熟练执行多种前沿的、复杂的统计分析技术，深入挖掘数据信息，成为 R 语言统计分析领域的专家。
If you want to learn how to perform real advanced statistical analyses in the R program, you have come to the right place. Now you don't have to scour the web endlessly in order to find how to do an analysis of covariance or a mixed analysis of variance, how to execute a binomial logistic regression, how to perform a multidimensional scaling or a factor analysis. Everything is here, in this course, explained visually, step by step. So, what's covered in this course? First of all, we are going to study some more techniques to evaluate the mean differences. If you took the intermediate course- which I highly recommend you - you learned about the t tests and the between-subjects analysis of variance. Now we will go to the next level and tackle the analysis of covariance, the within-subjects analysis of variance and the mixed analysis of variance. Next, in the section about the predictive techniques, we will approach the logistic regression, which is used when the dependent variable is not continuous - in other words, it is categorical. We are going to study three types of logistic regression: binomial, ordinal and multinomial. Then we are going to deal with the grouping techniques. Here you will find out, in detail, how to perform the multidimensional scaling, the principal component analysis and the factor analysis, the simple and the multiple correspondence analysis, the cluster analysis (both k-means and hierarchical) , the simple and the multiple discriminant analysis. So after finishing this course, you will be a real expert in statistical analysis with R - you will know a lot of sophisticated, state-of-the art analysis techniques that will allow you to deeply scrutinize your data and get the most information out of it. So don't wait, enroll today!
