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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
stars
4,285 ratings
865 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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826 - 833 of 833 Reviews for Statistical Inference

By Eric T

Feb 21, 2017

Important material, poorly taught.

By Katakam S T

Jan 29, 2019

no clarity in the explaination

By Pramod N

Jan 26, 2016

Cant understand whats going on

By Mukarram M

Jun 29, 2019

The worst teacher ever!

By Johannes H

Aug 5, 2016

Too much covered.

By Paul D

Jul 14, 2018

bad lectures.

By Mekin L

Feb 23, 2018

huay mak mak

By Milad A

Nov 9, 2020

i dont like