Об этом курсе
4.7
466 ratings
197 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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Beginner Level

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

Прибл. 13 ч. на завершение
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English

Субтитры: English

Приобретаемые навыки

Bayes' TheoremNormal DistributionProbabilityConditional Probability
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Beginner Level

Начальный уровень

Clock

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

Прибл. 13 ч. на завершение
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English

Субтитры: English

Программа курса: что вы изучите

1

Раздел
Clock
4 ч. на завершение

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 видео (всего 63 мин.), 1 материал для самостоятельного изучения, 7 тестов
Video7 видео
Welcome6мин
Introduction5мин
Definition and Rules12мин
A First Look at Statistical Independence10мин
Subjective Probabilities9мин
Empirical Probabilities: Benford's Law11мин
Exercise7мин
Reading1 материал для самостоятельного изучения
Script: Part 1мин
Quiz7 практического упражнения
Introductory Quiz2мин
1.14мин
1.26мин
1.34мин
1.44мин
1.54мин
1.64мин

2

Раздел
Clock
3 ч. на завершение

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 видео (всего 54 мин.), 1 материал для самостоятельного изучения, 6 тестов
Video6 видео
Intuition8мин
Definition7мин
Multiplication Rules10мин
Probability Tables9мин
Bayes Rule10мин
Exercise6мин
Reading1 материал для самостоятельного изучения
Script: Part 2мин
Quiz6 практического упражнения
2.14мин
2.24мин
2.34мин
2.44мин
2.54мин
2.64мин

3

Раздел
Clock
2 ч. на завершение

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 видео (всего 80 мин.), 6 тестов
Video6 видео
The Monty Hall Problem11мин
Structuring Risks: Part 113мин
Structuring Risks: Part 28мин
The Prosecutor's Fallacy15мин
The Sad Story of Sally Clark16мин
Quiz6 практического упражнения
3.14мин
3.22мин
3.3.16мин
3.3.24мин
3.46мин
3.56мин

4

Раздел
Clock
4 ч. на завершение

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 видео (всего 80 мин.), 1 материал для самостоятельного изучения, 8 тестов
Video8 видео
Expected Value12мин
Measures of Dispersion8мин
Application: Financial Model5мин
Binomial Distribution17мин
Application: Airline Overbooking11мин
Exercise 16мин
Exercise 25мин
Reading1 материал для самостоятельного изучения
Script: Part 4мин
Quiz8 практического упражнения
4.14мин
4.24мин
4.34мин
4.44мин
4.52мин
4.64мин
4.76мин
4.84мин
4.7
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20%

начал новую карьеру, пройдя эти курсы
Briefcase

83%

получил значимые преимущества в карьере благодаря этому курсу

Лучшие рецензии

автор: 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.

автор: 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.

Преподаватель

Karl Schmedders

Professor of Quantitative Business Administration
Department of Business Administration

О 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....

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  • 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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