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통계적 추론(으)로 돌아가기

존스홉킨스대학교의 통계적 추론 학습자 리뷰 및 피드백

3,846개의 평가
767개의 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 734개 리뷰 중 451~475

교육 기관: Sandhya A

May 23, 2018

I learned a lot, but found it relatively difficult as compared to other courses

교육 기관: Francisco G A

Jun 26, 2016

good curse, but it's hard by short time to study all lessons and practice it.

교육 기관: Sherifat A

Sep 12, 2018

Took a lot of time and re watching the videos but the knowledge was worth it

교육 기관: Artem V

Dec 15, 2016

It's not the math that is hard, it's the phrasing, vocabulary and semantics.

교육 기관: Shubham G

Dec 16, 2016

Very informative lecture and Brian explained concepts pretty well. Thanks..

교육 기관: Falko K C

Aug 07, 2016

Great course, could use some review though. Still give it a big thumbs up!

교육 기관: xuanru s

Nov 28, 2016


교육 기관: Meredith C H

Aug 26, 2018

Taught a lot of useful skills, but lectures were often hard to follow

교육 기관: Rohit D

Mar 21, 2017

Nice course, but need more detailed one for those new to statistics.

교육 기관: Jack F

Mar 28, 2020

Very thorough in covering not only theory, but application as well.

교육 기관: Gabriel G

Apr 17, 2019

Very good course, but requires a basic understanding of statistics.

교육 기관: antonio q

Mar 08, 2018

very well done, thanks a lot for everything, I did learn a lot,

교육 기관: Deleted A

Nov 13, 2016

a basic course of inference but i think perfecto for this mooc

교육 기관: Richard D

Jul 14, 2017

Fantastic, but quite a lot of material packed into 4 weeks.

교육 기관: Manojkumar P

Oct 24, 2016

It is nice course!

Amazingly challenging, thought provoking.

교육 기관: Daniiar B

Sep 10, 2018

The content is good, but the teaching is a little tedious

교육 기관: Nisarg S

Oct 30, 2018

good and detailed course.... loved the swirl exercises

교육 기관: Raviprakash R S

Feb 14, 2017

Basic statistics course....could have been a requisite

교육 기관: 易灿

Feb 29, 2016

Have some duplicated video, and some swirl problems

교육 기관: Wenjing L

Sep 17, 2018

I wish the lecture video had higher sound volume.

교육 기관: Anton K

Jan 03, 2020

the material is good although lacking in details

교육 기관: Darky C

Oct 19, 2019

Not details enough to truly understand inference

교육 기관: Michael E

Aug 28, 2016

Good course. Very interesting.

pace is very high

교육 기관: Jordan B

Mar 27, 2018

Tough course, but interesting and an real value

교육 기관: Rubén N R

Mar 09, 2020

Good course but too much material for 4 weeks.