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# An Intuitive Introduction to Probability

2 Reviews 197 students interested
Found in
• Provider Coursera
• Cost Free Online Course (Audit)
• Session Upcoming
• Language English
• Certificate Paid Certificate Available
• Start Date
• Duration 5 weeks long

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## Overview

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.

The course is split in 5 modules. In each module you will first have an easy introduction into the topic, which will serve as a basis to further develop your knowledge about the topic and acquire the "tools" to deal with uncertainty. Additionally, you will have the opportunity to complete 5 exercise sessions to reflect about the content learned in each module and start applying your earned knowledge right away.

The topics covered are: "Probability", "Conditional Probability", "Applications", "Random Variables", and "Normal Distribution".

You will see how the modules are taught in a lively way, focusing on having an entertaining and useful learning experience! We are looking forward to see you online!

## Syllabus

Probability
-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.

Conditional Probability
-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

Application
-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.

Discrete Random Variables
-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.

Normal Distribution
-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.

Karl Schmedders

## Reviews for Coursera's An Intuitive Introduction to Probability 4.0 Based on 2 reviews

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Did you take this course? Share your experience with other students.

• 1
Daung T
4.0 2 years ago
completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
This is the first course related to Maths that I took so I am not really making a comparison. The course introduces me to a more complicated use of probability (beyond what I've been taught, i.e. high school maths). Generally, the professor explains the concepts really well. It is not difficult to follow his instructions and understand his explanations. The fact that the professor demonstrates the real world applications of probability (there are many case studies) helps me appreciate the concepts that have been taught. And the final exercise at the end of each week (where I have to look at th…
Ashlynn P
4.0 2 years ago
by completed this course.