Chevron Left
Retour à Inférence statistique

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

4.2
étoiles
3,972 évaluations
789 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.

Filtrer par :

201 - 225 sur 756 Avis pour Inférence statistique

par Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

par Maxim K

Feb 02, 2016

I like lesson, teacher on video don't quickly and easily explained.

par Sally L

Dec 14, 2016

Very Informative. Have to devote quite a bit of time to it though.

par Eva W

Nov 03, 2016

Great course, very challenging . Well presented , great material .

par Daniel B

Mar 15, 2016

This course gives a really good overview in statistical Inference.

par Wojciech O

Jan 12, 2016

Very good reminder of mathematical statics which I had on studies.

par Michael O D

Nov 19, 2019

Excellent and stimulating course, swirl tutorials very effective.

par Owais M

Nov 15, 2017

Nice course! focussing mostly on hypothesis testing and p-values.

par Christian B

Mar 11, 2017

Content is very good overall. Presentation could be more engaging

par Umang T

Sep 08, 2020

Course is very good and very productive knowledge provided in it

par THI A A

Jul 31, 2020

This course refresh my memory for statistic and prepare me for M

par Arushi A

Dec 05, 2017

Amazing course content and assignments for practical application

par Larry G

Feb 07, 2017

This course should be in 3-4 courses.

Maybe a full specialization

par Siria S A

Aug 23, 2018

I am very very happy for complete this course I learned a lot!!

par German R M S

Dec 03, 2017

Excellent material, instructors and practical exercices.

Thanks,

par Sergio M

Apr 23, 2018

Amazing course, great to understand basic statistical analysis

par xun y

Dec 25, 2017

Great course that covers the basics of statistical inference.

par Leandro

Jul 15, 2017

This is exactly the course I was looking for. Great job guys!

par Alok K

Apr 30, 2016

Swirl is recommended for a better understanding of the course

par Praveen k

Nov 11, 2018

Good course to know the math behind inferential techniques !

par Fouad S

Jun 01, 2017

the course is good. its hard if you don't know statistics .

par Ekaterina S

May 01, 2019

It was quite hard for me, but very usefull and motivating.

par Georgios P

Nov 17, 2017

Quick and complete introduction to inferential statistics.

par BOUZENNOUNE Z E

Aug 25, 2019

A great course. Needs a great follow-up from the student.

par FELIPE P

Jun 04, 2020

amazing course to get started in the data science world