About this Course
4.7
483 ratings
203 reviews
This course will provide you with an 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!...
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Calendar

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Clock

Approx. 13 hours to complete

Suggested: You will have to invest about 3-4 hours per module to acquire the taught knowledge. ...
Comment Dots

English

Subtitles: English...

Skills you will gain

Bayes' TheoremNormal DistributionProbabilityConditional Probability
Globe

100% online courses

Start instantly and learn at your own schedule.
Calendar

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Clock

Approx. 13 hours to complete

Suggested: You will have to invest about 3-4 hours per module to acquire the taught knowledge. ...
Comment Dots

English

Subtitles: English...

Syllabus - What you will learn from this course

Week
1
Clock
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....
Reading
7 videos (Total 63 min), 1 reading, 7 quizzes
Video7 videos
Introduction5m
Definition and Rules12m
A First Look at Statistical Independence10m
Subjective Probabilities9m
Empirical Probabilities: Benford's Law11m
Exercise7m
Reading1 reading
Script: Part 1m
Quiz7 practice exercises
Introductory Quiz2m
1.14m
1.26m
1.34m
1.44m
1.54m
1.64m
Week
2
Clock
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 ...
Reading
6 videos (Total 54 min), 1 reading, 6 quizzes
Video6 videos
Definition7m
Multiplication Rules10m
Probability Tables9m
Bayes Rule10m
Exercise6m
Reading1 reading
Script: Part 2m
Quiz6 practice exercises
2.14m
2.24m
2.34m
2.44m
2.54m
2.64m
Week
3
Clock
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....
Reading
6 videos (Total 80 min), 6 quizzes
Video6 videos
The Monty Hall Problem11m
Structuring Risks: Part 113m
Structuring Risks: Part 28m
The Prosecutor's Fallacy15m
The Sad Story of Sally Clark16m
Quiz6 practice exercises
3.14m
3.22m
3.3.16m
3.3.24m
3.46m
3.56m
Week
4
Clock
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....
Reading
8 videos (Total 80 min), 1 reading, 8 quizzes
Video8 videos
Expected Value12m
Measures of Dispersion8m
Application: Financial Model5m
Binomial Distribution17m
Application: Airline Overbooking11m
Exercise 16m
Exercise 25m
Reading1 reading
Script: Part 4m
Quiz8 practice exercises
4.14m
4.24m
4.34m
4.44m
4.52m
4.64m
4.76m
4.84m
4.7
Direction Signs

20%

started a new career after completing these courses
Briefcase

83%

got a tangible career benefit from this course

Top Reviews

By NSSep 17th 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 RRJun 17th 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.

Instructor

Karl Schmedders

Professor of Quantitative Business Administration
Department of Business Administration

About 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....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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