RStudio for Six Sigma - Basic Descriptive Statistics

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In this Guided Project, you will:

Import a real life dataset into RStudio, do some basic checks of the data frame, calculate statistics for centrality and spread.

Perform statistical sampling, plot histogram, boxplot, pareto chart, generate synthetic data according to a given statistical distribution.

And determine the fitness of a given dataset to a particular distribution.

Clock1 hour
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Welcome to RStudio for Six Sigma - Basic Description Statistics. 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 perform Basic Descriptive Analysis (Six Sigma) tasks hands-on using RStudio. Both R language and RStudio tools are Open Source and can be used for most Six Sigma analysis tasks without needing commercial software.

Skills you will develop

Data ScienceR ProgrammingSix SigmaRstudioStatistics

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Load dataset into RStudio and analyse the data frame.

  2. Analyse the Centering and the Spread of given data.

  3. Perform statistical sampling, calculate the Standard Error and Confidence Intervals.

  4. Understand and plot histogram, boxplots, pareto chart.

  5. Understand several statistical distributions and generate synthetic data to fit a given distribution and parameters.

  6. Perform tests and fit data into statistical distributions

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step



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Frequently Asked Questions

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