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.
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.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Load dataset into RStudio and analyse the data frame.
Analyse the Centering and the Spread of given data.
Perform statistical sampling, calculate the Standard Error and Confidence Intervals.
Understand and plot histogram, boxplots, pareto chart.
Understand several statistical distributions and generate synthetic data to fit a given distribution and parameters.
Perform tests and fit data into statistical distributions
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
Very helpful and easy to follow. There are a couple of statistical terms used that weren't explained so google is your friend in those cases
Nice course with good hands on practical teachings of some of the basic parts of R. It sets the tone for mastery in R. Great resource
Love the approach. The script you leave the course with is an excellent foundation toolkit for using the skills at work.
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