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

4.2
étoiles
3,741 évaluations
745 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

JA

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 .

AP

Mar 22, 2017

The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.

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676 - 700 sur 713 Avis pour Inférence statistique

par Paul K

Mar 28, 2017

Poor quality audio. Monotonous lecture style with frequent inaccuracies in delivery (says one thing but actually means another). I found my motivation and performance dropped sharply in contrast to prior lectures in this series.

par raunak r

Dec 25, 2016

Very disappointing!!!!!!!too much emphasis on mathematical notations....where are the practical applications?lack of examples....it seemed more of a prose than a lecture....would not recommend to a beginner.Period

par Fabiano C

Feb 06, 2017

So far this is the poorest course in DS specialiation. Coins and dices all the time, Brian reads to the camera. It is just like reading a book, a very boring one. Examples from real life could boost interest.

par Marco A M A

Apr 07, 2016

poor course, saturated, with an instructer that uses big words and does not explain many difficult ideas, and take for granted that the leaner knows a lot of probability and statistics.

par Evgeny P

Oct 24, 2017

Course materials are not balanced, it is not enough information to follow conclusions. Course gives set of tools but doesn't build solid foundation and intuition about how to use them.

par Vaibhav

Sep 10, 2017

Quality of teaching needs to improve. The professor needs to be more enthusiastic when giving the lecture.

The course content should involve more examples to help cement the concepts.

par Adnan B

Jul 19, 2019

Not a good instructor or course material

it felt like if he was trying to teach to phd candidates

I just went to Khans academy for every topic.. didnt learny anything from him..

par Rennê L C V

Oct 13, 2017

The teatcher know so much about the topic that he can't put himself on students shoes and see that his classes are really hard to understand. Also, the audio was pretty bad.

par Sergey Z

Jun 09, 2016

The worst course I've ever taken.

Bad sound quality, dead discussion forums, not possible to understand material without external (not mentioned in the course) sources.

par Farhad S

Apr 19, 2016

This course is very difficult to follow, not because the topics are hard or too technical but mostly due to lecturer's poor job in explaining and creating a narrative.

par Martin L

Jul 08, 2017

It's a very interesting topic but I had to rely on a text book to understand it! I struggled to understand the lectures and reconcile it back to the quizes.

par Maria

Dec 09, 2017

The teacher does not explain clearly the concepts. I will not recommend this course to somebody interested in the subject as it is not effective to learn.

par Jeff B

Mar 31, 2018

The lecturer is very difficult to follow. His teaching style is very hard if you don't already have a background in statistics. Sorry but true.

par Heather D

Mar 15, 2018

Basics of statistics are not covered. Teacher jumped into more advanced material. I must use many outside resources to actually learn this.

par Abdelrahman S H

Jul 03, 2017

The content of this is mainly theoretical, and the practical part is so small compared to other courses in the same specialization.

par Grigory S

Feb 28, 2018

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par Neeraj K

Apr 07, 2018

Very bad teacher. He seems in a hurry. Not explaining anything clearly.

Through out the idiot wasting time and money

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 Chun-Fu 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...