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所在平台: Udemy |
课程主页: https://www.udemy.com/course/statistics-with-r-beginner-level/
课程评论：没有评论
课程名称：使用R进行统计分析 - 初学者级别 课程概述：如果你想学习如何在R程序中进行基本的统计分析，那么你来对地方了。你不需要在网络上无休止地寻找如何计算统计指标、如何构建列联表、如何制作散点图，或者如何进行简单的统计检验（如单样本t检验）。这一切都将在本课程中以视觉化和逐步的方式进行解释。那么，在这门课程中你将学习到什么呢？首先，你将学习如何在R中操作数据，为分析做好准备，包括如何过滤数据框、重新编码变量以及计算新变量。接下来，我们将计算R中主要的统计指标，如均值、中位数、标准差、偏度和峰度等，以及在总体和子群体中的应用。然后，你将学习如何使用表格和图表可视化数据，我们将构建表格和列联表，以及直方图、累积频率图、柱形图、均值图、散点图和箱型图。由于假设检验是任何统计分析中非常重要的一部分，我们将学习如何检查正态性和异常值的存在。最后，我们将进行一些基本的单样本统计检验并解读结果，包括单样本t检验、二项检验和卡方适合度检验。因此，完成这门课程后，你将能够在R程序中执行基本的统计程序。快来报名吧！
If you want to learn how to perform the basic 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 compute the statistical indicators in R, how to build a cross-table, how to build a scatterplot chart or how to compute a simple statistical test like the one-sample t test. Everything is here, in this course, explained visually, step by step. So, what will you learn in this course? First of all, you will learn how to manipulate data in R, to prepare it for the analysis: how to filter your data frame, how to recode variables and compute new variables. Afterwards, we will take care about computing the main statistical figures in R: mean, median, standard deviation, skewness, kurtosis etc., both in the whole population and in subgroups of the population. Then you will learn how to visualize data using tables and charts. So we will build tables and cross-tables, as well as histograms, cumulative frequency charts, column and mean plot charts, scatterplot charts and boxplot charts. Since assumption checking is a very important part of any statistical analysis, we could not elude this topic. So we'll learn how to check for normality and for the presence of outliers. Finally, we will perform some basic, one-sample statistical tests and interpret the results. I'm talking about the one-sample t test, the binomial test and the chi-square test for goodness-of-fit. So after graduating this course, you will know how to perform the essential statistical procedures in the R program. So… enroll today!
