Zurück zu An Intuitive Introduction to Probability

4.7

Sterne

1,057 Bewertungen

•

426 Bewertungen

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

16. Sep. 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

20. Mai 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.

Filtern nach:

von vikram s r

•13. Juni 2020

This course is as it says i.e.very intuitive only due to the great efforts of Karl who makes it so easy for a novice and inspires confidence at each step. My hats off to a wonderful and intuitive teacher that he is! A rare breed indeed

von Ashish D S

•24. Sep. 2017

I always struggled in solving probability related problems. This course has definitely helped me in understanding my misconceptions in this area. Thank you for good content and examples which made this course fun to learn.

Thank you.

von Ammarah F

•10. Apr. 2018

this course is really helpful in building basics about probability. it explains with examples and also make us think about the wrong approaches we have been tricked by. in lecture quizzes are really nice aspect and keeps me engaged.

von Tomasz K

•17. Feb. 2019

The course was great, thank you! The only thing I would change are the exercises, which required to repeat some values presented in the associated videos, somehow I did not find it exciting/teaching me anything... Still, thank you!

von Manideep L

•25. Aug. 2017

This is a superbly crafted course, as it truly gives an intuitive introduction to probability. You'll get a sense of how important a role this intriguing subject plays in the real world thanks to the inclusion of its applications.

von Biswajit R

•12. Jan. 2021

When I started, I never thought of completing the course on Probability. I was looking for clarity on some concepts of Probability but continued with other topics. One of the finest classes on Probability with so much simplicity.

von Piyanka D

•18. Apr. 2019

The teaching technique of Professor is awesome. Loved to continue this course for his extensive delivery of lectures with easy real life examples. Thank you Sir, love to take part other courses where you will teach in Coursera.

von Nguyen M

•28. Sep. 2018

Thank you so much! All the explanation in the course were clear and intuitive! I have looked for explanation for probability and random variables in many places and still could not grasp the ideas. and Karl is the best teacher!

von Prashant C

•5. Okt. 2019

Karl is exceptional. Love the way you teach, especially the real life examples and cases.

Thanks to Karl, I am no more scared with the word 'Probability'...!! Kudos to you..!!

Would love to attend more MOOCs conducted by Karl.

von Rahul S

•26. Okt. 2019

This is a very good introductory course to the challenging topic called Probability. My approach is to start from this course and then take advanced courses on the topic in my journey to Data Science, and Machine Learning.

von Shay H

•29. Aug. 2020

This is a really great, well-explained course for those who need a refresher or even have never taken probability courses before. Professor Schmedders is one of the best instructors I've experienced so far on Coursera.

von christopher w

•23. Feb. 2018

Excellent course, the instructors were engaging and succeeded in making the course fun. I learned a lot from this and it did not feel like work at all, rather it was a pleasure to participate. Very nicely done indeed!

von Ioana D

•21. Feb. 2017

Very good introduction to probability, the concepts were really well explained, I wish there was a sequel to this course covering other subjects in statistics. I highly recommend this course for absolute beginners.

von Kelsey H

•13. Mai 2017

This is an excellent course! I highly recommend it to anyone struggling to make statistics and probability feel natural and intuitive, or to beginners in the subject. I hope this team makes some more courses soon!

von Lakshmi N N

•9. Aug. 2017

Awesome course and learnt probability. More than the learning, the course kindled the interest to learn probability further. Thanks to Professor Karl and Jose. Looking forward for next course from you. Thank you.

von Mary F

•25. Feb. 2020

Professor Karl Schmedders is an amazing instructor and made the course a pleasure by describing probability in away that is easily understood using practical examples. I wish he had other Coursera classes.

von Ian S

•8. Aug. 2020

Absolutely delightful. This is one of the strongest online courses I have ever taken. The instructor is clear and enthusiastic and provides a very good introduction to fundamental concepts in probability.

von Anantkumar B

•12. Aug. 2019

Prof. Schmedders discusses concepts, demonstrates how to use functions in Excel and neatly ties them to real world scenarios. For all those intending to learn funadmentals of probability, look no further.

von Joseph L

•30. Dez. 2017

This is an amazing course that Pr Karl's lively lecture make difficult and complicated concept simple and clear, not only easy to understand but also easy to apply. I do appreciate Pf. Karl and TA Jose.

von Ng J Q

•26. Juni 2020

I really love this course! There are only 2 questions per quiz and they really tested my understanding of the content. The professor is very clear and not boring at all :) would definitely recommend it!

von Francesca R

•21. Mai 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.

von Rachit

•17. Juni 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.

von Usha R

•3. Nov. 2017

This course is an absolute GEM. I am glad I took it before my CFA preparation. I would highly recommend this course . I thoroughly enjoyed all the real time applications given by the professor!!!

von Paul K

•29. Juli 2017

Taught from a very practical standpoint with no math derivations or excessive theory. The use of Microsoft Excel made it very easy to calculate probabilities. This course has numerous ral-world

von Hristo H

•25. Feb. 2018

Really enjoyed this class. It gives a nice introduction to probability with engaging examples. It require that you have excel and in the later part you spend sometime solving exercises in Excel.

- Sinn und Zweck im Leben finden
- Medizinische Forschung verstehen
- Japanisch für Anfänger
- Einführung in Cloud Computing
- Grundlagen der Achtsamkeit
- Grundlagen des Finanzwesens
- Maschinelles Lernen
- Maschinelles Lernen mittels Sas Viya
- Die Wissenschaft des Wohlbefindens
- Contact-Tracing im Kontext von COVID-19
- KI für alle
- Finanzmärkte
- Einführung in die Psychologie
- Erste Schritte mit AWS
- Internationales Marketing
- C++
- Predictive Analytics und Data-Mining
- UCSD: Learning How to Learn
- Michigan: Programming for Everybody
- JHU: R-Programmierung
- Google CBRS CPI Training

- Natural Language Processing (NLP)
- KI für Medizin
- Guter Umgang mit Worten: Redaktionelles Schreiben
- Modellbildung von Infektionskrankheiten
- Die Aussprache des US-amerikanischen Englisch
- Software-Testautomatisierung
- Deep Learning
- Python für alle
- Data Science
- Geschäftsgründungen
- Excel-Kenntnisse für Beruf
- Data Science mit Python
- Finance for Everyone
- Kommunikationsfähigkeiten für Ingenieure
- Verkaufstraining
- Career Brand Management
- Wharton: Unternehmensanalytik
- Penn: Positive Psychology
- Washington: Maschinelles Lernen
- CalArts: Grafikdesign

- Zertifikate über berufliche Qualifikation
- MasterTrack-Zertifizierungen
- Google IT-Support
- IBM Datenverarbeitung
- Google Cloud Data Engineering
- IBM Applied AI
- Google Cloud Architecture
- IBM Cybersecurity Analyst
- Google IT Automation with Python
- IBM z/OS Mainframe Practitioner
- UCI: Angewandtes Projektmanagement
- Zertifizierung in Instructional Design
- Zertifizierung in Bauwesen und -management
- Zertifizierung in Big Data
- Zertifizierung Maschinelles Lernen für Analytics
- Zertifizierung in Innovation Management & Entrepreneurship
- Zertifizierung in Nachhaltigkeit und Entwicklung
- Zertifizierung in Soziale Arbeit
- Zertifizierung KI und maschinelles Lernen
- Zertifizierung in Räumliche Datenanalyse und Visualisierung

- Abschlüsse in Informatik
- Business-Abschlüsse
- Abschlüsse im Gesundheitswesen
- Abschlüsse in Data Science
- Bachelorabschlüsse
- Bachelor of Computer Science
- MS Elektrotechnik
- Bachelor Completion Degree
- MS Management
- MS Informatik
- MPH
- Master-Abschluss in Buchhaltung
- MCIT
- MBA online
- Master of Applied Data Science
- Global MBA
- Master in Innovation & Entrepreneurship
- MCS Data Science
- Master in Informatik
- Master-Abschluss in Public Health