This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will earn a "toolbox" of methods to deal with uncertainty in your daily life.
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An Intuitive Introduction to Probability
Instructor: Karl Schmedders
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There are 5 modules in this course
In this module we will learn about probabilities and perform our first calculations using probability formulas. We want to get comfortable with the idea that probabilities describe the chance of uncertain events occurring.
What's included
7 videos1 reading7 quizzes
The arrival of new information may lead us to alter our probabilistic assessments of uncertain events. In this module, we will learn how the concept of "conditional" probabilities allows us to make these changes correctly. Script of the course can be found here: https://www.coursera.org/learn/introductiontoprobability/resources/qxi9W
What's included
6 videos1 reading6 quizzes
We will discuss some fascinating every-day applications of probability. In addition to entertaining examples, we will also review very serious applications from finance and law.
What's included
6 videos6 quizzes
In this module we move beyond probabilities and learn about important summary measures such as expected values, variances, and standard deviations. We also learn about the most popular discrete probability distribution, the binomial distribution.
What's included
8 videos1 reading8 quizzes
We want to get comfortable with the normal distribution. We will discuss what the famous bell curve really represents. And we will learn how easy it is to calculate normal probabilities.
What's included
6 videos1 reading5 quizzes
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Recommended if you're interested in Probability and Statistics
Johns Hopkins University
Johns Hopkins University
Databricks
University of Colorado Boulder
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