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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
stars
4,449 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

MG

Aug 14, 2016

Outstanding material. You can scale the difficulty and depth on the subject as you wish. Great source and references. (Recommend seeing the videos at 1.5 x speed though).

RR

May 8, 2020

Course is compressed and good to learn in short span. The illustrations and projects are really helpful to learn the concepts and implement. I really enjoyed through the course

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851 - 874 of 874 Reviews for Statistical Inference

By Ravi t B

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May 7, 2017

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

By Tony W

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Feb 13, 2017

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

By Charly A

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Oct 5, 2016

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

By Danish S

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Jul 12, 2021

Bad explanation and lecturer seems like in a rush and reading from his notes

By Seyed M

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Aug 22, 2016

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

By Aarohi V

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Feb 3, 2021

At last no proper instruction given about how to complete the task.

By Christian

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Jul 24, 2017

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

By Cady

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Jun 13, 2017

Too theoretical. Could not see practical applications.

By Bijan S

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Feb 28, 2019

super boring instruction, instructor is like a robot!

By Stephen E

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Jun 27, 2016

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

By Pranjal S

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Feb 21, 2019

Too vague in explanation and building a story

By Laetitia D S

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Aug 9, 2016

Very difficult to understand and follow

By Shikhar O

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Aug 30, 2016

worst course of the specialization.

By Eric T

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Feb 21, 2017

Important material, poorly taught.

By Katakam S T

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Jan 29, 2019

no clarity in the explaination

By Pramod N

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Jan 26, 2016

Cant understand whats going on

By Sai S

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Feb 9, 2022

no peer submissions available

By Mukarram M

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Jun 29, 2019

The worst teacher ever!

By Eswaraiah K

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Feb 6, 2025

video is not playing

By youssef m

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Jan 19, 2022

TERRIBLE LECTURER

By Johannes H

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Aug 5, 2016

Too much covered.

By Paul D

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Jul 14, 2018

bad lectures.

By Mekin L

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Feb 23, 2018

huay mak mak

By Milad A

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Nov 9, 2020

i dont like