RStudio for Six Sigma - Basic Descriptive Statistics

Offered byCoursera

RStudio for Six Sigma - Basic Descriptive Statistics
at
Coursera
Overview

Gain a comprehensive overview of the Six Sigma principles and concepts

Duration	2 hours
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

RStudio for Six Sigma - Basic Descriptive Statistics
at
Coursera
Highlights

Earn a certificate of completion

RStudio for Six Sigma - Basic Descriptive Statistics
at
Coursera
Course details

Skills you will learn

Open source Fitness R Statistics Six sigma

What are the course deliverables?

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

More about this course

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

RStudio for Six Sigma - Basic Descriptive Statistics
at
Coursera
Curriculum

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

RStudio for Six Sigma - Basic Descriptive Statistics
at
Coursera
Faculty details

Moses Gummadi

Moses Gummadi is an independent consultant, educating people and helping businesses to create massive value for their customers, shareholders and employees, through Operational Excellence and Data Science