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Avis et commentaires pour d'étudiants pour Inférence statistique par Université Johns-Hopkins

4,046 évaluations
804 avis

À propos du cours

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....

Meilleurs avis


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 .


Sep 25, 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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751 - 771 sur 771 Avis pour Inférence statistique

par Guan C

Jul 04, 2017

Didn't explain things clearly, the companion book uses many inconsistent mathematical symbols which confuses me.

par Imogen S

Oct 31, 2017

Not a very well-structured subject. Need to make clearer demonstrations and explanations on the theories.

par sateesh

May 03, 2016

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

par Ravi T B

May 07, 2017

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

par Tony W

Feb 13, 2017

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

par Charly A

Oct 05, 2016

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

par Seyed M

Aug 22, 2016

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

par Christian

Jul 24, 2017

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

par Cady

Jun 14, 2017

Too theoretical. Could not see practical applications.

par Bijan S

Feb 28, 2019

super boring instruction, instructor is like a robot!

par Stephen E

Jun 27, 2016

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

par Pranjal S

Feb 21, 2019

Too vague in explanation and building a story

par Laetitia D S

Aug 09, 2016

Very difficult to understand and follow

par Shikhar O

Aug 30, 2016

worst course of the specialization.

par Eric T

Feb 21, 2017

Important material, poorly taught.

par Katakam S T

Jan 29, 2019

no clarity in the explaination

par Pramod N

Jan 27, 2016

Cant understand whats going on

par Mukarram M

Jun 29, 2019

The worst teacher ever!

par Johannes H

Aug 05, 2016

Too much covered.

par paul d

Jul 14, 2018

bad lectures.

par Mekin L

Feb 23, 2018

huay mak mak