An Intuitive Introduction to Probability

ofrecido por

An Intuitive Introduction to Probability

University of Zurich

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!...

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Approx. 13 hours to complete

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

English

Subtítulos: English...

Habilidades que obtendrás

Bayes' TheoremNormal DistributionProbabilityConditional Probability

Cursos 100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Approx. 13 hours to complete

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

English

Subtítulos: English...

Programa - Qué aprenderás en este curso

Week

4 horas para completar

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....

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 lectura

Script: Part 1m

7 ejercicios de práctica

Introductory Quiz2m

1.14m

1.26m

1.34m

1.44m

1.54m

1.64m

Week

3 horas para completar

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 ...

6 videos (Total: 54 min), 1 reading, 6 quizzes

6 videos

Intuition8m

Definition7m

Multiplication Rules10m

Probability Tables9m

Bayes Rule10m

Exercise6m

1 lectura

Script: Part 2m

6 ejercicios de práctica

2.14m

2.24m

2.34m

2.44m

2.54m

2.64m

Week

2 horas para completar

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....

6 videos (Total: 80 min), 6 quizzes

6 videos

The Birthday Problem15m

The Monty Hall Problem11m

Structuring Risks: Part 113m

Structuring Risks: Part 28m

The Prosecutor's Fallacy15m

The Sad Story of Sally Clark16m

6 ejercicios de práctica

3.14m

3.22m

3.3.16m

3.3.24m

3.46m

3.56m

Week

4 horas para completar

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....

8 videos (Total: 80 min), 1 reading, 8 quizzes

8 videos

Discrete Random Variables11m

Expected Value12m

Measures of Dispersion8m

Application: Financial Model5m

Binomial Distribution17m

Application: Airline Overbooking11m

Exercise 16m

Exercise 25m

1 lectura

Script: Part 4m

8 ejercicios de práctica

4.14m

4.24m

4.34m

4.44m

4.52m

4.64m

4.76m

4.84m

Instructor

Karl Schmedders

Professor of Quantitative Business Administration

Department of Business Administration

Acerca 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....

Preguntas Frecuentes

When will I have access to the lectures and assignments?
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.
What will I get if I purchase the Certificate?
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.
What is the refund policy?
Is financial aid available?

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.

An Intuitive Introduction to Probability

An Intuitive Introduction to Probability

Cursos 100 % en línea

Fechas límite flexibles

Nivel principiante

Approx. 13 hours to complete

English

Habilidades que obtendrás

Cursos 100 % en línea

Fechas límite flexibles

Nivel principiante

Approx. 13 hours to complete

English

Programa - Qué aprenderás en este curso

Probability

Conditional Probability

Application

Discrete Random Variables

20%

83%

Principales revisiones

Instructor

Karl Schmedders

Acerca de University of Zurich

Preguntas Frecuentes