RStudio for Six Sigma - Basic Descriptive Statistics

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16 個評分
提供方
Coursera Project Network
在此指導項目中,您將:

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
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Data ScienceR ProgrammingSix SigmaRstudioStatistics

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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