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Volver a RStudio for Six Sigma - Monte Carlo Simulation

Opiniones y comentarios de aprendices correspondientes a RStudio for Six Sigma - Monte Carlo Simulation por parte de Coursera Project Network

4.3
estrellas
12 calificaciones
5 reseña

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In this 2-hour long project-based course, you will learn how to 1. Generate Continuous, Discrete and Categorical Data (Xs) Using Statistical Distributions 2. Create A Transfer Function That Relates The Xs With The Y (Dependent Variable) 3. Perform Monte Carlo Simulation & Sensitivity Analysis Using RStudio Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 6 de 6 revisiones para RStudio for Six Sigma - Monte Carlo Simulation

por Krutika I

13 de abr. de 2021

Great instructor. I am a beginner in R studio and yet I was able to understand the concepts and build strong foundations of this topic. With little more practice, I will be able to apply the concepts from this projects in my job. Thank you!

por Alan D P

20 de ene. de 2022

Good for starting learning in RStudio to more practical applications.

por Haslan

28 de feb. de 2021

Very good introduction to Monte Carlo Simulation.

por Soloshenko M A

19 de dic. de 2021

perfect

por Kupka O

20 de mar. de 2022

Project is excellent, data from this project is absent by given link:((

por ABHAY S S

1 de jun. de 2021

Instructor has good teaching skills but the content is not enough to spark any interest. The functions use in R are not easily available. Please provide alternatives to them.