Back to An Intuitive Introduction to Probability

stars

1,165 ratings

•

464 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!...

NS

Sep 16, 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.

FR

May 20, 2020

I really enjoyed this course. The explanations are clear and, as suggested by the title, the lecturer uses intuition and daily-life examples rather than abstract and formal definitions and notations.

Filter by:

By Tengfei H

•May 6, 2017

The course is very interesting. It has taught me a lot about basic ideas/definitions/applications of probability. But the difficulties of the exercises may be raised a little bit to bring a little bit more challenge to this course.

By Rasha A A M

•Oct 18, 2020

Thank you very much for this wonderful course mixed with great effort and sincerity by those in charge of it . This course is a great blend of theory and practice with a very interesting presentation of every day life applications.

By Jennifer G

•May 3, 2020

I enjoyed taking this course. It was fairly intuitive as it was billed. I had a little difficulty downloading some of the reading materials but the information provided in the videos was sufficient to take the quizzes.

By aineko

•Feb 22, 2018

Good and remarkably easy introduction to probability theory. The chosen real world applications really helped me to understand the subject better. Might have to recap some lessons to really grasp the subject.

By Jawad

•Aug 14, 2021

The passion of the instructor was great and motivating to learn this course.

There were some errors in the transcript. It would have been great if the instructor prepared a pdf format of each lecture note.

By Mayank J

•Jun 15, 2017

As written in course introduction this course covers basics of Probability. Instructor is good and explains everything from scratch. Would recommend this course for someone who want to learn about basics.

By Prashant

•Apr 15, 2018

This COURSE is quite interesting to learn many new thing which has explained very interestingly by karl

but add more on this as many topics are missing in this course and teach more on excel part

By Shriya S

•Jun 5, 2020

This course was pretty amazing! I learnt so I much about how to calculate probability, and Professor Karl gave many examples too, which made me understand the concepts well.

By Marcomini D U

•May 25, 2020

This course has been extremely powerful giving a lot of intresting example of ststistics application far away from my previous knowledge on industrial process.

By AJAY H

•Sep 19, 2019

This course covers very basic and does not explain how the normal distribution works, the maths behind it, and does not have rigorous exercise for practice

By Prajjwal a

•May 20, 2017

I really liked the ease with which Karl taught some of the most intriguing concepts of probability. I would suggest more numerical s to be included.

By Hasan B

•Feb 1, 2017

Very nice and entertaining course

Sometimes the quizzes can be a bit frustrating. They could be set better.

Also, often the quizzes are very trivial.

By Roland R

•Mar 25, 2020

I loved the practical examples which really helped me to grasped the essence of statistics without becoming confused with theoretical formulas

By Vinod N

•Sep 19, 2019

An excellent coverage of topics and good lectures by Karl. My only quibble is that the exercises could be a little more challenging.

By Prasad K

•Apr 4, 2019

Very enthusiastic professor. The real world examples were the highlight of the course. Would have liked more math content though.

By Robert C P

•Apr 29, 2017

A very nice introduction. The instructor shows a lot of enthusiasm for the subject. The exercises help reinforce the material.

By Crispin R

•Mar 29, 2019

Videos were very useful and interesting. This helped me develop my understanding of statistics in my A-Level Maths course.

By Karrtik I

•Nov 15, 2019

Excellent intuition till week 4, however week 5 could have been better. Also exercises can be more tougher and rigourous.

By Shivraj R

•Jun 27, 2020

Enjoyed the course. The instructor seemed very involved in teaching and was able to easily impart difficult concepts.

By Vera J

•Mar 19, 2021

It would be most welcome to have the course in R. But overall a good and interesting introduction into probability

By ARUNDHATHI N S

•Jul 26, 2020

The instructor was awesome.He made it really easy to cope up with the schedule.This course is really worth trying.

By Jeremi S

•Nov 29, 2017

Karl has a nice tone, cadence and rhythm. More intuitive than other courses I have taken on the same subject.

By Issam B

•Jul 31, 2019

It's an interesting course because it has many applications .Thank you very much to Professor Karl Schmedders

By Mostafa A

•May 21, 2020

A very simple, clear and easy-to-understand course about probabilities and their applications in real life.

By Tomasz S

•Mar 7, 2019

Very good course, i would like to have more open questions . Explanation was super - very intuitive :)

- Google Data Analyst
- Google Project Management
- Google UX Design
- Google IT Support
- IBM Data Science
- IBM Data Analyst
- IBM Data Analytics with Excel and R
- IBM Cybersecurity Analyst
- Facebook Social Media Marketing
- IBM Full Stack Cloud Developer
- Salesforce Sales Development Representative
- Salesforce Sales Operations
- Soporte de Tecnologías de la Información de Google
- Certificado profesional de Suporte em TI do Google
- Google IT Automation with Python
- DeepLearning.AI Tensorflow
- Popular Cybersecurity Certifications
- Popular SQL Certifications
- Popular IT Certifications
- See all certificates

- Skills for Data Science Teams
- Data Driven Decision Making
- Software Engineering Skills
- Soft Skills for Engineering Teams
- Management Skills
- Marketing Skills
- Skills for Sales Teams
- Product Manager Skills
- Skills for Finance
- Android Development Projects
- TensorFlow and Keras Projects
- Python for Everybody
- Deep Learning
- Excel Skills for Business
- Business Foundations
- Machine Learning
- AWS Fundamentals
- Data Engineering Foundations
- Data Analyst Skills
- Skills for UX Designers

- MasterTrack® Certificates
- Professional Certificates
- University Certificates
- MBA & Business Degrees
- Data Science Degrees
- Computer Science Degrees
- Data Analytics Degrees
- Public Health Degrees
- Social Sciences Degrees
- Management Degrees
- Degrees from Top European Universities
- Master's Degrees
- Bachelor's Degrees
- Degrees with a Performance Pathway
- Bsc Courses
- What is a Bachelor's Degree?
- How Long Does a Master's Degree Take?
- Is an Online MBA Worth It?
- 7 Ways to Pay for Graduate School
- See all degrees