Excellent course. The lecturer has written code snippets that let the students visualize the meaning and interrelationship of p-values confidence-intervals power effect-size bayesian-inference.
Excellent explanations. Strong examples. Helpful exercises. Highly recommended for anyone who ever has to conduct inferential statistics or read anything that reports a p value or bayes factor.
创建者 Eleonora N•
Just great. Very insightful course.
Exactly what i needed. But now it
创建者 Maureen M•
The best MOOC in statistis ever!
创建者 David S•
Great content and lab document.
创建者 Mark K•
This was an exceptional course!
创建者 Pablo B•
Enjoyable, useful, necessary.
创建者 Oana S•
Amazing learning experience
创建者 Maheshwar G•
This is really impactful.
创建者 Zahra A•
Extremely useful course!
创建者 Biju S•
Very interesting course
创建者 Alexander P•
创建者 Pedro V•
Very good course!
创建者 Maria A T•
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创建者 Françoise G•
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创建者 EDILSON S S O J•
创建者 Alex G•
To get this out of the way: The one star deduction is not related to the content of the course, only to the fact that there is occasional imprecise language and some parts of the material have typos and grammatical slip-ups that show that the course has room for some tightening up.
That being said, the selection of topics that are covered is great. You get a small but full package of both knowledge and tools that'll help you to significantly (no pun intended) improve your research. Not only are statistical pitfalls covered and solutions offered, you also learn something about how to approach your research with the right mind-set in order to produce solid empirical knowledge that contributes to a cumulative science.
I was particularly impressed by how the instructor manages to pack lots of important topics and concepts into his 10 or 15 minutes lectures without it becoming overwhelming. The key to this is his ability to maintain focus and his generally clear and concise language. The course material, too, reflects the ability to present just the right amount of information - not too little, not too much.
Overall, the course feels very pragmatic and hands-on. It proves that good and fruitful science is doable and that you can start right now. It makes you *want* to start right now.
创建者 Daniel K•
Thanks to the creators of this course for putting together an engaging curriculum. One note of criticism is that the assignments for Week 5 required G*power software which as far as I can tell is not available on Linux (I'm running Ubuntu).
The practical examples, specifically the example of the impact of Facebook's A/B testing were particularly interesting. I think this course has improved the tools I have at my disposal for interpreting the language commonly used in academic reporting, and I'm confident the information and tools presented will help in my own research in the coming years.
创建者 Alicia S J•
Good pacing and ratio of exercises/lecture. I found the assignments very useful and the instructions easy to follow. Comparing my performance on the pre-tests and pop quizzes at the beginning of the course to those at the end clearly demonstrates that the coursework honed my stats intuition, and I'm very grateful! The only critical feedback I have is that occasionally, I found the wording of test/quiz questions to be a bit confusing. Thanks!
创建者 José M V S•
I would like that pdf for assignment be in another languages. Some concepts can be difficult for a beginner, just to improve, not a major issue.
I want to focus on the time indicated to complete this course. In my experience, I took so much time than the estimated. May i dont have a intermediate level, but I think that, at least, it should be take in consideration.
创建者 Marija A•
I find this course very useful, since these are topics that do not stick when you are completely new to statics, but are very useful once you have few years experience in practice. My only remark is that sometimes the multiple choice answers in the quizzes were not clear enough, so a bit confusing.