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

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


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 .


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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226 - 250 sur 683 Avis pour Inférence statistique

par Eduardo v

Mar 14, 2018

fantastic course ! Truly recomend

par Muzaffar H

Oct 03, 2017

A good dive into data analytical.

par SagarSrinivas

Sep 11, 2017

Its too good for getting exited!.

par Prohnițchi V

Jan 25, 2018

excellent executive introduction

par Terry L J

Nov 02, 2018

Good material and presentation!

par Raja J

Oct 17, 2017

Awesome and quite tough course.

par Dorian P

Jun 06, 2017

Most interessting course ever !

par Warren F

Sep 01, 2016

Hard but well worth the effort.

par Anwar

Feb 06, 2016

Great course. Worth every penny

par Ashly Y

Aug 25, 2017

Challenging but learned a ton!

par Maggie L

Aug 21, 2017

Week 4 lessons are most useful

par ravi v

Jun 04, 2017

Learned a lot of new things :)

par Mohankumar S

May 24, 2017

Great explanation to work out.

par T, K

Jul 04, 2018

Good Course for Data science.

par Irene R

Feb 03, 2018

Great course! I learned a lot

par Coral P

Jul 04, 2017

The qns do test understanding

par Marta S T

May 24, 2018

Very good course and teacher

par Mehedi H

Jan 29, 2017

This course is very helpfull

par Handong D B

Aug 15, 2016

very concise and well taught

par SK S

Mar 10, 2020

Awesome learning experience

par Toshin H

Dec 04, 2018

very helpful for my future

par Divvya.T

Oct 30, 2017

Excellent course to take !!

par Xiao M

Oct 18, 2017

Very good and clear course!

par Emi H

Jun 22, 2017

I truly enjoyed this course

par Mohammad A

Sep 08, 2018

Great course and lecturer.