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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
stars
4,451 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

MM

Sep 7, 2022

Q​uite useful to most scientists that rely on data (real/from simulations) to draw conclusions. The fact that the course was generic and widely applicable to all fields was the highlight!

DB

May 23, 2017

Excellent course. After completion, I really feel like I have a great grasp of basic inferential statistics and this course introduced ideas that I had not even considered before.

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426 - 450 of 874 Reviews for Statistical Inference

By gerson d o

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Oct 15, 2019

Wonderful!!

By Hisham E M

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Oct 4, 2018

Good Course

By shashwat k

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Sep 11, 2018

good course

By Sumeet M

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Dec 11, 2017

Nice

course

By Son H T

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Nov 6, 2017

Best course

By Khairul I K

•

Feb 13, 2017

2 Thumbs Up

By Asif M A

•

Jul 8, 2016

I liked it.

By udbodh s

•

May 14, 2016

Nice course

By Deleted A

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Nov 2, 2021

Thank you!

By Abdelbarre C

•

Oct 28, 2017

Good Class

By Samiul A

•

Jan 8, 2017

Excellent.

By Carlos R

•

Dec 27, 2016

Very Nice!

By John P

•

Oct 26, 2016

Excellent!

By Arpitha l

•

Sep 25, 2020

Excellent

By Nazakat

•

Jun 20, 2020

Good work

By Waseem A W

•

Jan 30, 2020

fantastic

By Luis M M R

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Apr 3, 2018

very good

By Ralph J

•

Feb 5, 2018

Good Job

By Jeff D

•

Nov 8, 2020

Thanks

By FAIZAN D

•

Aug 28, 2019

useful

By Adán H

•

Oct 18, 2017

Thanks

By Viktor K

•

Aug 8, 2021

goode

By Marco A P N

•

Jun 12, 2016

great

By SK R A

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Jun 14, 2022

bggg

By Kazi S S I

•

Oct 16, 2021

Nice