Eye opening course. My first introduction to some of the issues surrounding p-values as well as how to better utilize them and what they truly represent. My first introduction to effect sizes as well.
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.
This course is very useful! I recommend.
por Rossella M•
Really useful and interesting course!
por JOHN Q•
Interesting Course. Thanks so much!
por Eleonora N•
Just great. Very insightful course.
Exactly what i needed. But now it
por Maureen M•
The best MOOC in statistis ever!
por David S•
Great content and lab document.
por Mark K•
This was an exceptional course!
por Pablo B•
Enjoyable, useful, necessary.
por Oana S•
Amazing learning experience
por Maheshwar G•
This is really impactful.
por Zahra A•
Extremely useful course!
por Biju S•
Very interesting course
por Alexander P•
por Pedro V•
Very good course!
por Maria A T•
por martin j k•
por Françoise G•
por Sarah W•
por Nareg K•
por Michiel T•
por Jinhao C•
por Edilson S•
por 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.
por 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.