Retour à Biostatistique mathématique Cours intensif 2

4.2

51 notes

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11 avis

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples....

par 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.

par VV

•Sep 08, 2018

Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.

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10 avis

par Luis Guillermo Gómez 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.

par Vivek

•Sep 08, 2018

Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.

par Joseph Li

•Aug 31, 2018

Excellent! A great leading course to build up one with clear background to explore the data science.

par Andre Tadeu de Carvalho

•Jul 28, 2018

Please, make a reboot of this course with some improvements in the material.

More examples

More solved exercises.

More homework.

par Burak Himmetoglu

•Jun 20, 2017

The last week was a bit rushed and unclear.

par Paulina Jedynak

•Apr 16, 2017

The course is a bit chaotic.

par Gu Feng

•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.

par Michael Kesling

•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.

par Edit Takacs

•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.

par Do Huynh Long

•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.

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