À propos de ce cours
4.7
447 ratings
•
192 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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Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

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Beginner Level

Niveau débutant

Clock

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

Approx. 13 heures pour terminer
Comment Dots

English

Sous-titres : English

Compétences que vous acquerrez

ProbabilityNormal DistributionBayes' TheoremConditional Probability
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Beginner Level

Niveau débutant

Clock

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

Approx. 13 heures pour terminer
Comment Dots

English

Sous-titres : English

Programme du cours : ce que vous apprendrez dans ce cours

1

Section
Clock
4 heures pour terminer

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 vidéos (Total 63 min), 1 lecture, 7 quiz
Video7 vidéos
Welcome6 min
Introduction5 min
Definition and Rules12 min
A First Look at Statistical Independence10 min
Subjective Probabilities9 min
Empirical Probabilities: Benford's Law11 min
Exercise7 min
Reading1 lecture
Script: Part 1 min
Quiz7 exercices pour s'entraîner
Introductory Quiz2 min
1.14 min
1.26 min
1.34 min
1.44 min
1.54 min
1.64 min

2

Section
Clock
3 heures pour terminer

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 vidéos (Total 54 min), 1 lecture, 6 quiz
Video6 vidéos
Intuition8 min
Definition7 min
Multiplication Rules10 min
Probability Tables9 min
Bayes Rule10 min
Exercise6 min
Reading1 lecture
Script: Part 2 min
Quiz6 exercices pour s'entraîner
2.14 min
2.24 min
2.34 min
2.44 min
2.54 min
2.64 min

3

Section
Clock
2 heures pour terminer

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 vidéos (Total 80 min), 6 quiz
Video6 vidéos
The Birthday Problem15 min
The Monty Hall Problem11 min
Structuring Risks: Part 113 min
Structuring Risks: Part 28 min
The Prosecutor's Fallacy15 min
The Sad Story of Sally Clark16 min
Quiz6 exercices pour s'entraîner
3.14 min
3.22 min
3.3.16 min
3.3.24 min
3.46 min
3.56 min

4

Section
Clock
4 heures pour terminer

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 vidéos (Total 80 min), 1 lecture, 8 quiz
Video8 vidéos
Discrete Random Variables11 min
Expected Value12 min
Measures of Dispersion8 min
Application: Financial Model5 min
Binomial Distribution17 min
Application: Airline Overbooking11 min
Exercise 16 min
Exercise 25 min
Reading1 lecture
Script: Part 4 min
Quiz8 exercices pour s'entraîner
4.14 min
4.24 min
4.34 min
4.44 min
4.52 min
4.64 min
4.76 min
4.84 min
4.7
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a commencé une nouvelle carrière après avoir terminé ces cours
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a bénéficié d'un avantage concret dans sa carrière grâce à ce cours

Meilleurs avis

par NS•Sep 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.

par RR•Jun 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.

Enseignant

Karl Schmedders

Professor of Quantitative Business Administration
Department of Business Administration

À propos de 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....

Foire Aux 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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