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Kursteilnehmer-Bewertung und -Feedback für Statistische Inferenz von Johns Hopkins University

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3,590 Bewertungen
691 Bewertungen

Über den Kurs

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....

Top-Bewertungen

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 von 660 Bewertungen für Statistische Inferenz

von Sukanya S

Apr 06, 2018

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

von Illich M

Jun 16, 2017

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

von Jorge B S

Jun 03, 2019

Very nice introductory course to statistical inference concepts using R.

von Sanjeev K

Apr 02, 2018

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

von Huey Y T

Mar 21, 2017

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

von Bopeng Z

Jun 08, 2017

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

von Simeon E

Feb 20, 2017

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

von Sebastian R

Sep 19, 2017

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

von Raunak S

Nov 01, 2018

nice course before digging deeper into Data Science advanced topics.

von Karthik R

Aug 07, 2017

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

von Diego N

Mar 26, 2017

Excellent course to get up to speed on important statistics concepts

von sujatabosesinha

Mar 07, 2017

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

von Bojan B

Oct 14, 2018

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

von Maxim K

Feb 02, 2016

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

von Sally L

Dec 14, 2016

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

von Eva W

Nov 03, 2016

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

von Daniel B

Mar 15, 2016

This course gives a really good overview in statistical Inference.

von Wojciech O

Jan 12, 2016

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

von Michael O D

Nov 19, 2019

Excellent and stimulating course, swirl tutorials very effective.

von Owais M

Nov 15, 2017

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

von Christian B

Mar 11, 2017

Content is very good overall. Presentation could be more engaging

von THI A A

Jul 25, 2019

This course refresh my memory for statistic and prepare me for M

von Arushi A

Dec 05, 2017

Amazing course content and assignments for practical application

von Larry G

Feb 07, 2017

This course should be in 3-4 courses.

Maybe a full specialization

von Siria S A

Aug 23, 2018

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