Inferencia estadística, Universidad Johns Hopkins
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Principales revisiones
por JA
•Oct 26, 2018
Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .
por AP
•Mar 22, 2017
The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.
579 revisiones
por Matthew Stetz
•Feb 10, 2019
Excellent course if you have some background in math or stats already. This course might be difficult if you don't have that background. The peer graded assignment does a good job tying everything together in my opinion.
por Chadrick A Eakin
•Feb 04, 2019
The course contains a lot I want to learn, but as someone with a limited background in statistics - I found many of the lectures not to provide clear explanations for concepts. I had to use a lot of outside material to try to learn and understand the concepts. The course lectures seem incomplete to me.
por Colin Bissegger
•Feb 02, 2019
Teacher is a bit erratic. It makes the course hard to follow.
por Don Moffatt
•Feb 01, 2019
This is an excellent course, though it is fast-paced. I didn't have time to watch the lectures and also do the practice exercises in Swirl in the time allotted. As usual, the time estimates for completion are wonky. I ended up just watching the lectures and taking the tests, which is far from ideal (I am taking some time to do those valuable exercises now that the course is done). Although I got 100% in the course, I felt the learning experience could have been better as a result.
por Sven Kunsing
•Jan 29, 2019
I think it could be taught a tad better. Maybe more explanations in lessons and a bit better (read: less vaguely) worded course project description would be useful. I do understand the importance of this part of the DS specialization, but I would have loved a bit more careful approach to the subject. It is probably hard for an expert to lower himself to this admittedly low level of knowledge, but please do try.
por Katakam Sai Teja
•Jan 29, 2019
no clarity in the explaination
por Savitri
•Jan 29, 2019
Good Course to Learn the statistical Inference
por Ajit Sharma
•Jan 26, 2019
The coverage of Confidence Interval and power of a test was really helpful. I'd recommend to all interested in analytics.
por LIWANGZHI
•Jan 18, 2019
this course really provides me a insight into statistical inference. Thanks, Brian!
por Raul Martinez
•Jan 16, 2019
This course should be targeted for Data Scientists, in my opinion it is more for statisticians.
Too much about the insight of statistics and some but not enough about how to use the statistic tools.
Some time the professor seems like he is just reading the slides which I think it doesn't intensive the student.
