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.
RStudio for Six Sigma - Basic Descriptive Statistics
RStudio for Six Sigma - Basic Descriptive Statistics
Instructor: Moses Gummadi
Access provided by Boehringer Ingelheim
4,041 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.7
(65 reviews)
Beginner level
No prior experience required
1 hour
Learn at your own pace
Hands-on learning
What you'll learn
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.
Skills you'll practice
- Data Import/Export
- Statistical Analysis
- Descriptive Statistics
- R (Software)
- Statistical Visualization
- Pareto Chart
- Probability & Statistics
- Data Synthesis
- Probability Distribution
- Histogram
- Box Plots
- Statistics
- Statistical Methods
- Statistical Hypothesis Testing
- Exploratory Data Analysis
- R Programming
- Sampling (Statistics)
- Data Science
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
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:
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
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Instructor
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Learner reviews
4.7
65 reviews
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- 2 stars
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Showing 3 of 65
KL
5
Reviewed on Oct 27, 2020
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
AS
4
Reviewed on Jan 29, 2021
Learnt something I didn't Know. Thanks for making it easy too
KS
4
Reviewed on Oct 19, 2020
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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