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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
stars
3,975 ratings
789 reviews

About the Course

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 reviews

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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201 - 225 of 758 Reviews for Statistical Inference

By Bojan B

Oct 14, 2018

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

By Maxim K

Feb 02, 2016

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

By Sally L

Dec 14, 2016

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

By Eva W

Nov 03, 2016

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

By Daniel B

Mar 15, 2016

This course gives a really good overview in statistical Inference.

By Wojciech O

Jan 12, 2016

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

By Michael O D

Nov 19, 2019

Excellent and stimulating course, swirl tutorials very effective.

By Owais M

Nov 15, 2017

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

By Christian B

Mar 11, 2017

Content is very good overall. Presentation could be more engaging

By Umang T

Sep 08, 2020

Course is very good and very productive knowledge provided in it

By THI A A

Jul 31, 2020

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

By Arushi A

Dec 05, 2017

Amazing course content and assignments for practical application

By Larry G

Feb 07, 2017

This course should be in 3-4 courses.

Maybe a full specialization

By Siria S A

Aug 23, 2018

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

By German R M S

Dec 03, 2017

Excellent material, instructors and practical exercices.

Thanks,

By Sergio M

Apr 23, 2018

Amazing course, great to understand basic statistical analysis

By xun y

Dec 25, 2017

Great course that covers the basics of statistical inference.

By Leandro

Jul 15, 2017

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

By Alok K

Apr 30, 2016

Swirl is recommended for a better understanding of the course

By Praveen k

Nov 11, 2018

Good course to know the math behind inferential techniques !

By Fouad S

Jun 01, 2017

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

By Ekaterina S

May 01, 2019

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

By Georgios P

Nov 17, 2017

Quick and complete introduction to inferential statistics.

By BOUZENNOUNE Z E

Aug 25, 2019

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

By FELIPE P

Jun 04, 2020

amazing course to get started in the data science world