Back to An Intuitive Introduction to Probability

4.7

stars

736 ratings

•

292 reviews

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.
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!...

Sep 17, 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.

Jun 17, 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.

Filter by:

By Jethro P

•Feb 03, 2018

Great course to refresh your memory on probability or for a beginner. Thanks Karl!

By Zsuzsanna J

•May 09, 2017

It was an awesome course, Karl was a great teacher, I really enjoyed the lessons

By Christian F

•Apr 30, 2017

an excellent course. Congratulations and thanks to Prof. Schmedders and his team

By Carlos L

•Dec 17, 2019

While great for the right demographic, it was far simpler than what I expected.

By Anoop

•Dec 27, 2018

Thank you for this excellent course, I hope you create more advanced courses.

By Nuzha Y

•Sep 09, 2019

Absolutely fantastic presentation. Very clear delivery with good examples.

By Tiago L A

•Apr 02, 2019

Excellent introduction! Really clarifies some key concepts in probability.

By Gilbert A

•May 08, 2018

This course has been very well explained by prof. Karl and easy to follow.

By Juan G

•Nov 01, 2017

Super educational and funny way to teach an introduction to Probability!

By avik

•Aug 14, 2019

Cleared my fear of probability !

I am not scared of probability anymore.

By Javier A

•Apr 28, 2017

Clear explanations, funny stories, and simple and useful calculations.

By yijin

•Dec 27, 2017

provide intuitive explanations and examples of the most famous cases.

By Gema A

•Sep 14, 2017

I like the course because it is taught in profound yet intuitive way.

By enrique a r

•Jan 05, 2019

excelente introducción! Las explicaciones son muy claras y directas!

By Ruba D

•Jul 06, 2017

it was a very nice course that explained probability in a simple way

By Ho W

•Feb 24, 2018

Very good introduction to probability with interesting application.

By Robin B

•Sep 16, 2019

Great lecturer! Makes it easy and fun to understand probabilities!

By Roee S

•Mar 10, 2018

Probability is useful and fun, and i'd like to learn more. Thanks

By Marcus S

•Aug 20, 2017

One of the best MOOCs I've done. Prof Smedders is just excellent.

By Ahmed

•Jul 26, 2017

Great Course ... It made probability concepts easy to understand.

By Johnny T

•Mar 22, 2017

This short course offers informative and fun real world examples.

By Supratim P

•Dec 02, 2017

Good course to get examples on real life examples on probability

By Anirudha I

•Dec 01, 2017

I liked the instruction style and example used. Good refresher !

By matthew s

•Apr 10, 2018

I never thought probability could be interesting ! Great stuff.

By Stanislav C

•Jul 13, 2017

Great course! Very useful, interesting and easy to understand.

- AI for Everyone
- Introduction to TensorFlow
- Neural Networks and Deep Learning
- Algorithms, Part 1
- Algorithms, Part 2
- Machine Learning
- Machine Learning with Python
- Machine Learning Using Sas Viya
- R Programming
- Intro to Programming with Matlab
- Data Analysis with Python
- AWS Fundamentals: Going Cloud Native
- Google Cloud Platform Fundamentals
- Site Reliability Engineering
- Speak English Professionally
- The Science of Well Being
- Learning How to Learn
- Financial Markets
- Hypothesis Testing in Public Health
- Foundations of Everyday Leadership

- Deep Learning
- Python for Everybody
- Data Science
- Applied Data Science with Python
- Business Foundations
- Architecting with Google Cloud Platform
- Data Engineering on Google Cloud Platform
- Excel to MySQL
- Advanced Machine Learning
- Mathematics for Machine Learning
- Self-Driving Cars
- Blockchain Revolution for the Enterprise
- Business Analytics
- Excel Skills for Business
- Digital Marketing
- Statistical Analysis with R for Public Health
- Fundamentals of Immunology
- Anatomy
- Managing Innovation and Design Thinking
- Foundations of Positive Psychology