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

4.2
stars
3,581 évaluations
690 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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151 - 175 sur 658 Avis pour Inférence statistique

par Sukanya S

Apr 06, 2018

This is the most difficult course so far as I am not a statistics student

par Illich M

Jun 16, 2017

This is a tough course! I had to take it multiple times to understand it.

par Jorge B S

Jun 03, 2019

Very nice introductory course to statistical inference concepts using R.

par Sanjeev K

Apr 02, 2018

A great course for the beginner who are new to the field of Data Science

par Huey Y T

Mar 21, 2017

I enjoyed the lectures. The lecturer was very clear on the explanations.

par Bopeng Z

Jun 08, 2017

Very useful and thorough review of statistics. Invaluable in practice.

par Simeon E

Feb 20, 2017

Not so easy, but extremely interesting. Highly recommended to anyone.

par Sebastian R

Sep 19, 2017

Great intro to statistical inference. Also, the materials are awesome

par Raunak S

Nov 01, 2018

nice course before digging deeper into Data Science advanced topics.

par Karthik R

Aug 07, 2017

Good Course, but I think you need to have some Statistics background

par Diego N

Mar 26, 2017

Excellent course to get up to speed on important statistics concepts

par sujatabosesinha

Mar 07, 2017

Good course. Quite thorough. Nice blend of R programming and theory.

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 THI A A

Jul 25, 2019

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!!