RStudio for Six Sigma - Hypothesis Testing

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

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
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

  • Data Science
  • R Programming
  • Six Sigma
  • Statistical Hypothesis Testing
  • Rstudio

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  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)

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.