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 Beginner
- Duration 2 hours
- Course by Coursera Project Network
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Using probability distributions for real world problems in R
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- 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