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Opiniones y comentarios de aprendices correspondientes a Inferencia estadística por parte de Universidad Johns Hopkins

4,341 calificaciones
878 reseña

Acerca del 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....

Principales reseñas


25 de oct. 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 sep. 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 - 846 de 846 revisiones para Inferencia estadística

por Charly A

5 de oct. 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 feb. 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 feb. 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 feb. 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 feb. de 2017

Important material, poorly taught.

por Katakam S T

29 de ene. de 2019

no clarity in the explaination

por Pramod N

26 de ene. de 2016

Cant understand whats going on

por Sai S

9 de feb. de 2022

no peer submissions available

por Mukarram M

29 de jun. de 2019

The worst teacher ever!

por youssef m

19 de ene. 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 feb. de 2018

huay mak mak

por Milad G A

9 de nov. de 2020

i dont like