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통계적 추론(으)로 돌아가기

존스홉킨스대학교의 통계적 추론 학습자 리뷰 및 피드백

3,750개의 평가
747개의 리뷰

강좌 소개

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....

최상위 리뷰


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.

필터링 기준:

통계적 추론의 714개 리뷰 중 201~225

교육 기관: Arushi A

Dec 05, 2017

Amazing course content and assignments for practical application

교육 기관: Larry G

Feb 07, 2017

This course should be in 3-4 courses.

Maybe a full specialization

교육 기관: Siria S A

Aug 23, 2018

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

교육 기관: German R M S

Dec 03, 2017

Excellent material, instructors and practical exercices.


교육 기관: Sergio M

Apr 23, 2018

Amazing course, great to understand basic statistical analysis

교육 기관: xun y

Dec 25, 2017

Great course that covers the basics of statistical inference.

교육 기관: Leandro

Jul 15, 2017

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

교육 기관: Alok K

Apr 30, 2016

Swirl is recommended for a better understanding of the course

교육 기관: Praveen k

Nov 11, 2018

Good course to know the math behind inferential techniques !

교육 기관: Fouad S

Jun 01, 2017

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

교육 기관: Ekaterina S

May 01, 2019

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

교육 기관: Georgios P

Nov 17, 2017

Quick and complete introduction to inferential statistics.


Aug 25, 2019

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

교육 기관: Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

교육 기관: Veronica F V M

Oct 02, 2017

Very Good and the swirl practices are very helpfull!!

교육 기관: Carlos M B B

May 09, 2017

Very ilustrative and full of practical applications.

교육 기관: Sankepalli S K

Oct 11, 2016

Excellent course to know the basics of data science

교육 기관: Rob S

Feb 17, 2020

Very good theoretical basics for working with data

교육 기관: Edith

Jun 23, 2016

Great course! I learnt a lot! And it even was fun.

교육 기관: Hasan M

May 19, 2020

Thanks for your great course and great professors

교육 기관: Ethan S

Nov 07, 2019

Thanks for strengthening my statistical R skills.

교육 기관: Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

교육 기관: Vinayakaram G

May 27, 2016

Great Course. All concepts are explained clearly.

교육 기관: kameron b

Nov 30, 2019

good material, hands-on experience was excellent

교육 기관: Anil G

May 14, 2018

Provide deep knowledge on inference statistics,