RStudio for Six Sigma - Hypothesis Testing

oferecido por
Coursera Project Network
Neste projeto guiado, você irá:

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
IntermediateIntermediário
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

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 você desenvolverá

Data ScienceR ProgrammingSix SigmaStatistical Hypothesis TestingRstudio

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  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)

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

Perguntas Frequentes – FAQ

Perguntas Frequentes – FAQ

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