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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4,425 ratings

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


Oct 25, 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 .


Sep 24, 2020

the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!

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226 - 250 of 869 Reviews for Statistical Inference


Feb 15, 2020

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


Sep 10, 2017

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

By Sukanya S

Apr 6, 2018

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

By Illich M

Jun 15, 2017

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

By Jorge B S

Jun 3, 2019

Very nice introductory course to statistical inference concepts using R.

By Sanjeev R

Apr 2, 2018

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

By Huey Y T

Mar 20, 2017

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

By Bopeng Z

Jun 7, 2017

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

By Simeon E

Feb 20, 2017

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

By Sebastian R

Sep 19, 2017

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

By Raunak S

Nov 1, 2018

nice course before digging deeper into Data Science advanced topics.

By Karthik R

Aug 7, 2017

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

By Diego N

Mar 26, 2017

Excellent course to get up to speed on important statistics concepts

By sujatabosesinha

Mar 7, 2017

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

By Bojan B

Oct 14, 2018

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

By Maxim K

Feb 2, 2016

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

By Sally L

Dec 13, 2016

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

By Ewa W

Nov 3, 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 Xiaofeng H

Oct 30, 2021

It's not easy to understand initially. Swirl is very beneficial.

By Michael O

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 8, 2020

Course is very good and very productive knowledge provided in it