Using probability distributions for real world problems in R
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.
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- Level Foundation
- المدة 2 ساعات hours
- الطبع بواسطة Coursera Project Network
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Offered by
عن
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. These distributions are widely used in day-to-day life of statisticians for hypothesis testing and drawing conclusions on a population from a small sample. Additionally, in the field of data science, statistical inferences use probability distribution of data to analyze or predict trend from data. 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.الوحدات
Using probability distributions for real world problems in R
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Assignment
- Graded Quiz: Test your Project understanding
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- Using probability distributions for real world problems in R
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- Using probability distributions for real world problems in R - Course Overview
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Discover how to apply probability distributions to solve real-world problems using R in this beginner-level course. Guided by Coursera, you'll explore Binomial, Poisson, Normal, Exponential, and Chi-square distributions, enhancing your ability to visualize and analyze data effectively. Perfect for aspiring data scientists and statisticians, this 120-minute course is available for free, with a focus on practical problem-solving and core concept strengthening. Ideal for learners in North America, with expansion plans for other regions.
Dr. Nikunj Maheshwari