By the end of this project, you will learn how to apply probability distributions to solve real world problems in R, a free, open-source program that you can download. You will learn how to answer real world problems using the following probability distributions – Binomial, Poisson, Normal, Exponential and Chi-square. You will also learn the various ways of visualizing these distributions of real world problems. By the end of this project, you will become confident in understanding commonly used probability distributions through solving practical problems and you will strengthen your core concepts of data distributions using R programming language.
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Using probability distributions for real world problems in R
Instructor: Dr. Nikunj Maheshwari
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What you'll learn
Learn how to answer real world problems using the following probability distributions – Binomial, Poisson, Normal, Exponential and Chi-square
Learn how to visualize probability distributions of real world problems
Skills you'll practice
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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:
Solve and visualize real world problems using Binomial distribution
Solve and visualize real world problems using Poisson distribution
Solve and visualize real world problems using Normal distribution
Solve and visualize real world problems using Exponential distribution
Solve and visualize real world problems using Chi-Square distribution
Recommended experience
The learner should be familiar with probability and basic ggplot commands in R.
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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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