Instructor: Karl Schmedders
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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.
7 videos1 reading7 assignments
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
6 videos1 reading6 assignments
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.
6 videos6 assignments
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.
8 videos1 reading8 assignments
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.
6 videos1 reading5 assignments
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Johns Hopkins University
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University of Colorado Boulder
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Reviewed on Mar 22, 2023
It's a great course, loved the way Prof. Karl Schmedders explains things. However one area of improvement of this course is - the methods adopted in the exercises needed to be covered in the lectures.
Reviewed on Aug 9, 2020
This course has made me fall in love with probability. Highly recommended for anyone who dislikes probability. You will end up loving probability later. Great instructor and quality lecture material.
Reviewed on May 24, 2018
The course explains probability and normal distribution concepts in a way it is easier to follow. And makes it further easier using usual excel function. Very well taught course! A big thank you!!
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