Chevron Left
Retour à Inférence statistique

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

4.2
étoiles
3,652 évaluations
715 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 :

426 - 450 sur 683 Avis pour Inférence statistique

par Jordan B

Mar 27, 2018

Tough course, but interesting and an real value

par Rubén N R

Mar 09, 2020

Good course but too much material for 4 weeks.

par John S

Nov 14, 2016

Probably more math than required at this stage

par Jha A

Apr 19, 2018

too much theoretical , tough to get this part

par Rajib K

Apr 29, 2017

Nicely started but bit hurried up at the end

par Hani M

Mar 02, 2016

Very good class to get a feel for statistics

par Ashish S

May 19, 2016

This session will help me boost my skills.

par Carlyle_Cao

Feb 23, 2016

Maybe the instructor could illustrate more

par Lau I L

Mar 31, 2020

Well prepared, but a little borrowing

par Robert P

Apr 18, 2017

Challenging course but very helpful.

par Hung R H

May 17, 2017

good review of statistical concepts

par Vivekananda R C

Feb 15, 2016

We need more examples on datasets.

par Min H S

Mar 30, 2016

a little bit fast but quite help

par Tint 姜

May 09, 2016

课程设计简洁明了,是很好的数理统计入门课程,文科生跟上无压力

par Prasanna

Dec 13, 2016

Difficult one. But made it.

par Yiyang Z

Aug 11, 2019

A lot of materials covered

par Alzum S M

Dec 06, 2018

It was exciting journey

par Abhishek G

Feb 17, 2016

An intense discourse on

par hari p

Jul 10, 2017

good course curriculam

par Marildo G F

Jul 09, 2017

Excellent course

par Jeff H

Sep 14, 2017

tougher content

par Mehul P

Sep 20, 2017

Nice course !!

par Anup K M

Oct 20, 2018

good content

par Craig S

Dec 04, 2017

Good content

par Sravan K

May 28, 2017

good course