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.
Offered By
An Intuitive Introduction to Probability
University of ZurichAbout this Course
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Learner Career Outcomes
25%
started a new career after completing these courses
22%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 16 hours to complete
English
Subtitles: English, Persian
Skills you will gain
Bayes' TheoremNormal DistributionProbabilityConditional Probability
Learner Career Outcomes
25%
started a new career after completing these courses
22%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 16 hours to complete
English
Subtitles: English, Persian
Offered by
University of Zurich
Founded in 1833, the University of Zurich (UZH) is Switzerland’s largest university, with a current enrollment of over 26,000 students. Made up of seven faculties covering approximately 100 different subject areas, UZH is proud to offer the most comprehensive academic program in the country.
Syllabus - What you will learn from this course
4 hours to complete
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.
4 hours to complete
7 videos (Total 63 min), 1 reading, 7 quizzes
7 videos
Welcome6m
Introduction5m
Definition and Rules12m
A First Look at Statistical Independence10m
Subjective Probabilities9m
Empirical Probabilities: Benford's Law11m
Exercise7m
1 reading
Script: Part 12h
7 practice exercises
Introductory Quiz2m
1.14m
1.26m
1.34m
1.44m
1.54m
1.64m
3 hours to complete
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
3 hours to complete
6 videos (Total 54 min), 1 reading, 6 quizzes
1 reading
Script: Part 22h
6 practice exercises
2.14m
2.24m
2.34m
2.44m
2.54m
2.64m
2 hours to complete
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.
2 hours to complete
6 videos (Total 80 min)
6 videos
The Monty Hall Problem11m
Structuring Risks: Part 113m
Structuring Risks: Part 28m
The Prosecutor's Fallacy15m
The Sad Story of Sally Clark16m
6 practice exercises
3.14m
3.22m
3.3.16m
3.3.24m
3.46m
3.56m
4 hours to complete
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.
4 hours to complete
8 videos (Total 80 min), 1 reading, 8 quizzes
8 videos
Expected Value12m
Measures of Dispersion8m
Application: Financial Model5m
Binomial Distribution17m
Application: Airline Overbooking11m
Exercise 16m
Exercise 25m
1 reading
Script: Part 42h
8 practice exercises
4.14m
4.24m
4.34m
4.44m
4.52m
4.64m
4.76m
4.84m
Reviews
TOP REVIEWS FROM AN INTUITIVE INTRODUCTION TO PROBABILITY
by NSSep 16, 2017
Superb course. I am very impressed with the way the faculty explained real world examples through the probability concepts. I wish we can have more courses from him on statistics and machine learning.
by FRMay 20, 2020
I really enjoyed this course. The explanations are clear and, as suggested by the title, the lecturer uses intuition and daily-life examples rather than abstract and formal definitions and notations.
by RRJun 16, 2017
Amazing course to understand the nature of probability and its applications. Lecture delivery by Karl is fabulous and the efforts put in by Jose is highly appreciable. Hoping for an advance course.
by AAMay 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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