I would like to thank Dr. James Abdey for his wonderful explanation of probability and statistics in a short time. I definitely learnt many things which I can make use in my further courses. Thank you
James Abdey is an excellent lecturer. He explains clearly while using a lot of examples from real life applications. I am considering to read his PhD thesis (even though I don't have insomnia :-))
автор: Avula M Y•
Excellent course ! With this I have learnt how to relate probability and statistics to real world and its applications through live examples.
автор: Willreign Z D C•
As a Statistics major, this is a very good review of foundational concepts of Statistics. I was still able to gain new info and applications.
автор: David S•
Very good and helpful starting point for the materia of statistics. And with exactly the right amount of humour, thank you very much James!
автор: Saurabh P•
Very good course. Instructor does a good job of explaining a very confusing topic. I really liked the pdf notes at the end of each video.
автор: Sudharshan C•
A great introductory course, very well made and explained.
A bit more animation to bolster the wonderful explanation would go a long way!
автор: Pratik K•
Best course to begin your journey in world of analytics, data science and machine learning. Must to course for every engineering graduate
автор: Legriv V I M•
An excellent and effective method of instruction! This is a course everyone should take before taking a college-level statistics course.
автор: Stanislav B•
Good course for complete beginner with no math background. Sometimes I had a feeling that same thing can be explained much much shorter.
автор: Juliana S d D•
Curso introdutório muito bom para quem não sabe nada e precisa ter uma noção básica antes de começar a se aprofundar em mais conteúdos.
автор: Maheswari M•
It's very eager to find out the answers and it is very interesting course and also good with spend useful time for our quarantine days.
автор: Shatarupa S•
Thank you Dr. James for teaching me so well. I loved the course and enjoyed it thoroughly as well. Many of my concepts became clearer.
автор: Mohamed K•
This course was very important and I gained more knowledge about statistics. Thanks dear sir your well explanation and inspiration.
автор: Melisa M S•
I really enjoyed this course. The concepts are clearly explained and the exercises are very useful to fully understand the lessons.
автор: Claudia M•
I liked how it is presented, the examples used, and for sure the explanations. It is a good course to introduce you to statistics.
Great course to quickly give enough background to understand sample based estimations, confidence intervals and hypothesis testing
автор: Patrick H•
Excellent lecture and reading materials. V clear and concise messages. Good examples and objectives. I would recommend to others.
автор: Gerald S•
Its really a good course that gives a good introduction to statistics in a way that inspires confidence and success in the course
автор: José D C•
Great variaty of topics ranging from the simplest to more complicated ones. Also the instructor is great and really charismatic.
автор: Aditya M•
A great course to learn statistics from the ground level up. However, doing more number of exercises will help you learn better.
автор: Aline L•
This is a very interesting and useful course, the course design is good and easy to follow. The content is clear and precise.
автор: Kewei ( Y•
Fun and engaging! I also really appreciate including the reading options. This has indeed made the course much more flexible!
автор: Deepa D A•
it was one of the best course i have ever joined.vast explanation was given based on each and every topic.it was really good.
автор: Minhas K•
Loved this course! I now have a better understanding and a better approach to statistical inference and probability.
автор: Ismael B•
This is the best course ever. The professor is awesome, he explain the concepts so easily, I really loved this MOOC.
автор: A S•
Brilliant course! Truly informative and I learned a lot with respect to data analysis and hypothesis testing.