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

4.2
étoiles
3,894 évaluations
774 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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251 - 275 sur 741 Avis pour Inférence statistique

par Claudio M d S e S N

Feb 16, 2016

Very usefull course. Congratulations!

par Greig R

Aug 15, 2017

Challenging, but interesting course.

par Vivek G

Apr 20, 2020

Very useful and interesting course.

par Tor G

Aug 24, 2017

Great course, covering the subject!

par Rishabh S

Feb 12, 2017

Very useful and informative course.

par Rohan S

Jul 22, 2016

It was a really informative course.

par Mohamed A E M

Oct 14, 2017

Really great course , well done ;)

par yifan

Mar 14, 2016

很好的课程,特别是swirl交互式学习很有意思,也能熟悉R语言的使用

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 DEBANJAN B

Jun 24, 2020

Excellent course, great learning

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 Mounika G

Apr 15, 2020

very good interactive courses

par T, K

Jul 04, 2018

Good Course for Data science.

par Irene R

Feb 03, 2018

Great course! I learned a lot