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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
stars
4,090 ratings
813 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 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 .

MI
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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751 - 775 of 781 Reviews for Statistical Inference

By Sergey Z

Jun 9, 2016

The worst course I've ever taken.

Bad sound quality, dead discussion forums, not possible to understand material without external (not mentioned in the course) sources.

By Farhad S

Apr 19, 2016

This course is very difficult to follow, not because the topics are hard or too technical but mostly due to lecturer's poor job in explaining and creating a narrative.

By Martin L

Jul 8, 2017

It's a very interesting topic but I had to rely on a text book to understand it! I struggled to understand the lectures and reconcile it back to the quizes.

By Maria

Dec 9, 2017

The teacher does not explain clearly the concepts. I will not recommend this course to somebody interested in the subject as it is not effective to learn.

By Jeff B

Mar 31, 2018

The lecturer is very difficult to follow. His teaching style is very hard if you don't already have a background in statistics. Sorry but true.

By Heather D

Mar 14, 2018

Basics of statistics are not covered. Teacher jumped into more advanced material. I must use many outside resources to actually learn this.

By Abdelrahman S H

Jul 3, 2017

The content of this is mainly theoretical, and the practical part is so small compared to other courses in the same specialization.

By Grigory S

Feb 28, 2018

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By Neeraj K

Apr 7, 2018

Very bad teacher. He seems in a hurry. Not explaining anything clearly.

Through out the idiot wasting time and money

By Guan C

Jul 4, 2017

Didn't explain things clearly, the companion book uses many inconsistent mathematical symbols which confuses me.

By Imogen S

Oct 31, 2017

Not a very well-structured subject. Need to make clearer demonstrations and explanations on the theories.

By sateesh

May 3, 2016

The course is very difficult to comprehend..Moreover the examplanations given ar not concise and brief..

By Ravi T B

May 7, 2017

No proper meaningful explanation for the logic derived, especially in Probability, the core of stats.

By Tony W

Feb 13, 2017

Not explained well, had to take another statistical inference course. Not worth the money.

By Charly A

Oct 5, 2016

The instructor is about as convoluted as you can possibly get with his explanations.

By Seyed M

Aug 22, 2016

The slides are very difficult to follow. It could be better designed

By Christian

Jul 24, 2017

poor course material / slides makes it hard to follow...

By Cady

Jun 13, 2017

Too theoretical. Could not see practical applications.

By Bijan S

Feb 28, 2019

super boring instruction, instructor is like a robot!

By Stephen E

Jun 27, 2016

To be honest I don't think this is worth the money.

By Pranjal S

Feb 21, 2019

Too vague in explanation and building a story

By Laetitia D S

Aug 9, 2016

Very difficult to understand and follow

By Shikhar O

Aug 30, 2016

worst course of the specialization.

By Eric T

Feb 21, 2017

Important material, poorly taught.

By Katakam S T

Jan 29, 2019

no clarity in the explaination