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Voltar para Inferência estatística

Comentários e feedback de alunos de Inferência estatística da instituição Universidade Johns Hopkins

4,348 classificações

Sobre o curso

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data....

Melhores avaliações


25 de out de 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 .


24 de set de 2020

the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!

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826 — 849 de 849 Avaliações para o Inferência estatística

por sateesh

3 de mai de 2016

The course is very difficult to comprehend..Moreover the examplanations given ar not concise and brief..

por Ravi t B

7 de mai de 2017

No proper meaningful explanation for the logic derived, especially in Probability, the core of stats.

por Tony W

13 de fev de 2017

Not explained well, had to take another statistical inference course. Not worth the money.

por Charly A

5 de out de 2016

The instructor is about as convoluted as you can possibly get with his explanations.

por Danish S

12 de jul de 2021

Bad explanation and lecturer seems like in a rush and reading from his notes

por Seyed M

22 de ago de 2016

The slides are very difficult to follow. It could be better designed

por Aarohi V

3 de fev de 2021

At last no proper instruction given about how to complete the task.

por Christian

24 de jul de 2017

poor course material / slides makes it hard to follow...

por Cady

13 de jun de 2017

Too theoretical. Could not see practical applications.

por Bijan S

28 de fev de 2019

super boring instruction, instructor is like a robot!

por Stephen E

27 de jun de 2016

To be honest I don't think this is worth the money.

por Pranjal S

21 de fev de 2019

Too vague in explanation and building a story

por Laetitia D S

9 de ago de 2016

Very difficult to understand and follow

por Shikhar O

30 de ago de 2016

worst course of the specialization.

por Eric T

21 de fev de 2017

Important material, poorly taught.

por Katakam S T

29 de jan de 2019

no clarity in the explaination

por Pramod N

26 de jan de 2016

Cant understand whats going on

por Sai S

9 de fev de 2022

no peer submissions available

por Mukarram M

29 de jun de 2019

The worst teacher ever!

por youssef m

19 de jan de 2022


por Johannes H

5 de ago de 2016

Too much covered.

por Paul D

14 de jul de 2018

bad lectures.

por Mekin L

23 de fev de 2018

huay mak mak

por Milad G A

9 de nov de 2020

i dont like