RStudio for Six Sigma - Hypothesis Testing

提供方
Coursera Project Network
在此指导项目中,您将:

Import datasets into RStudio and Perform Hypothesis Testing

Understand and identify data types (continuous vs discrete). Choose the correct Hypothesis Testing tool.

Perform various Hypothesis Tests including Correlation, Regression, Logistic Regression, Chi-Square Test, T-Tests, Analysis of Variance (ANOVA), etc.

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

Welcome to RStudio for Six Sigma - Hypothesis Testing. This is a project-based course which should take approximately 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will learn to identify data types (continuous vs discrete), understand what is Hypothesis Testing, pick the right Hypothesis Testing tool, perform various Hypothesis Tests including Correlation, Simple Regression, Logistic Regression, Chi-Square Test, T-Tests, Analysis of Variance (ANOVA), and Non-Parametric tests such as Wilcoxon Rank Sum and Kruskal Wallis.

您要培养的技能

Data ScienceR ProgrammingSix SigmaStatistical Hypothesis TestingRstudio

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Perform hypothesis testing on Continous X and Y data in RStudio using Scatter Plot, Correlation, Regression.

  2. Perform hypothesis testing on Continuous X, Discrete Y data in RStudio using Logistic Regression.

  3. Perform hypothesis testing on Discrete X, Discrete Y data in RStudio using Chi-Square Test

  4. Perform hypothesis testing on Discrete X, Continuous Y data in RStudio. Analysis of Stability, Shape and Spread.

  5. Perform hypothesis testing on Discrete X, Continuous Y data in RStudio. 1 Sample t-Test, 2 Sample t-Test, ANOVA (Cont Y, Disc X), Non-parametric tests (Wilcoxon, Moods-Median, Kruskal)

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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