About this course: 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!
Who is this class for: This course is aimed for all those who want to learn how to improve decisions that involve some uncertainty. The course is constructed such that no previous knowledge of statistics is required to follow it. The acquired knowledge can be applied in any field that involves uncertainty.
Taught by: Karl Schmedders, Professor of Quantitative Business Administration
Department of Business Administration
| Level | Beginner |
| Commitment | You will have to invest about 3-4 hours per module to acquire the taught knowledge. |
| Language | English |
| Hardware Req | You will need Excel or a similar spreadsheet program, such as the Google Docs spreadsheet. |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
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It's an interesting intro course of probably if you don't know much about this subject. The lectures are straightforward and easy to digest, exercise are well-organised. The excel formulas introduced are quite useful. Looking forward to more courses from Karl :)
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.
overview is quite good.
couple of intuitive explanations.
script is more deep.
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I found so much in probability within this course!