Comentários e feedback de alunos de Bioestatística Matemática: Treinamento 2 da instituição Universidade Johns Hopkins
Sobre o curso
Melhores avaliações
AC
Jul 28, 2018
Please, make a reboot of this course with some improvements in the material.\n\nMore examples\n\nMore solved exercises.\n\nMore homework.
VV
Sep 08, 2018
Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.
1 — 11 de {totalReviews} Avaliações para o Bioestatística Matemática: Treinamento 2
por Do H L
•Jul 02, 2016
This course should be part of the Data Science specialization. Actually, you can supplement the Statistical Inference course with these two Boot camp courses really well!
A great revision of statistics, very rigorous and thorough cover of all distributions and hypothesis tests.
por Andre T d C
•Jul 28, 2018
Please, make a reboot of this course with some improvements in the material.
More examples
More solved exercises.
More homework.
por Vivek
•Sep 08, 2018
Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.
por Chen-wei O
•Aug 16, 2019
Thank you Dr Brian for the in-depth teaching from fundamental to application in real-world healthcare research
por Joseph L
•Aug 31, 2018
Excellent! A great leading course to build up one with clear background to explore the data science.
por Michael K
•Oct 01, 2016
Thankful that a course like this exists, as most MOOCs are quite basic. And thanks to Coursera for running the courses even though attendance seems to be low (darn, that pesky calculus pre-requisite). Lecture quality is varied--some quite good (such as the lectures in Boot Camp I) and others seem like he hadn't looked at his notes for a long time. It's great to hear a stats professor talk about the strengths and weaknesses of many approaches. It complements a mathematical statistics book quite well. It would have been nice to have had some problems that were more challenging. Overall, while the Johns Hopkins Data Science MOOCs are pretty good, they are a bit more basic than what's available through MIT and Stanford.
por Luis G G E
•Oct 01, 2018
Goode videos and teacher. The videos are old and it will be perfect to refresh them and make it more interactive.
por Edit T
•Sep 25, 2016
It was very challenging. It would be better if a couple of practice exercises were put after the relevant lecture videos and not just after the weekly lecture videos.
por Burak H
•Jun 20, 2017
The last week was a bit rushed and unclear.
por Paulina J
•Apr 16, 2017
The course is a bit chaotic.
por Gu F
•Mar 05, 2017
"much better than the data science with R concentration provided also by John Hopkins. This course has concrete examples, and the lecturer doesn't treat his audience like the first-grade kids." I take this back. The lecturer doesn't know what he's taking about and what he is gonna talk about for at least half of the time.
