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존스홉킨스대학교의 통계적 추론 학습자 리뷰 및 피드백

4.2
3,618개의 평가
700개의 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

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.

필터링 기준:

통계적 추론의 668개 리뷰 중 151~175

교육 기관: pravin

Jul 03, 2017

Very valuable overview for all statistical analysis used in future courses.

교육 기관: Marcelo A P

Aug 17, 2016

Need to improve the clarity of the lectures, but it´s a good course though.

교육 기관: ONG P S

Feb 16, 2020

Very good course. A lot of examples helping me understanding the theories.

교육 기관: SATHYANARAYANAN S

Sep 11, 2017

Very good for anyone wanting to get into the field of Data Science using R

교육 기관: Sukanya S

Apr 06, 2018

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

교육 기관: Illich M

Jun 16, 2017

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

교육 기관: Jorge B S

Jun 03, 2019

Very nice introductory course to statistical inference concepts using R.

교육 기관: Sanjeev K

Apr 02, 2018

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

교육 기관: Huey Y T

Mar 21, 2017

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

교육 기관: Bopeng Z

Jun 08, 2017

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

교육 기관: Simeon E

Feb 20, 2017

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

교육 기관: Sebastian R

Sep 19, 2017

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

교육 기관: Raunak S

Nov 01, 2018

nice course before digging deeper into Data Science advanced topics.

교육 기관: Karthik R

Aug 07, 2017

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

교육 기관: Diego N

Mar 26, 2017

Excellent course to get up to speed on important statistics concepts

교육 기관: sujatabosesinha

Mar 07, 2017

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

교육 기관: Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

교육 기관: Maxim K

Feb 02, 2016

I like lesson, teacher on video don't quickly and easily explained.

교육 기관: Sally L

Dec 14, 2016

Very Informative. Have to devote quite a bit of time to it though.

교육 기관: Eva W

Nov 03, 2016

Great course, very challenging . Well presented , great material .

교육 기관: Daniel B

Mar 15, 2016

This course gives a really good overview in statistical Inference.

교육 기관: Wojciech O

Jan 12, 2016

Very good reminder of mathematical statics which I had on studies.

교육 기관: Michael O D

Nov 19, 2019

Excellent and stimulating course, swirl tutorials very effective.

교육 기관: Owais M

Nov 15, 2017

Nice course! focussing mostly on hypothesis testing and p-values.

교육 기관: Christian B

Mar 11, 2017

Content is very good overall. Presentation could be more engaging