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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
stars
4,434 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

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 .

RI

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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551 - 575 of 869 Reviews for Statistical Inference

By Marco L

Dec 16, 2020

Good introductory course to the field of statistics. Could be better, could be worse.

By Zoran K

Apr 20, 2017

Statistics was relatively new to me, so it was a steep learning; Overall I liked it.

By Paul M

Dec 30, 2016

Great Course. Material much more challenging than courses in the program to date.

By Sandhya A

May 23, 2018

I learned a lot, but found it relatively difficult as compared to other courses

By Francisco G A

Jun 26, 2016

good curse, but it's hard by short time to study all lessons and practice it.

By Sherifat A

Sep 12, 2018

Took a lot of time and re watching the videos but the knowledge was worth it

By Artem V

Dec 15, 2016

It's not the math that is hard, it's the phrasing, vocabulary and semantics.

By SHUBHAM G

Dec 16, 2016

Very informative lecture and Brian explained concepts pretty well. Thanks..

By Falko K C

Aug 7, 2016

Great course, could use some review though. Still give it a big thumbs up!

By Frank O

Jul 12, 2021

with the formulas I had problems, I should have been more careful in math

By xuanru s

Nov 28, 2016

GOOD KNOWLEDGE OF USING STATISTIC TEST IN R. HOPE TO ADD MORE MATERIAL

By ALEJANDRO P

Aug 22, 2020

Very nice course that reviews the basics of the statistical inference

By Meredith C H

Aug 26, 2018

Taught a lot of useful skills, but lectures were often hard to follow

By Rohit D

Mar 21, 2017

Nice course, but need more detailed one for those new to statistics.

By Jack F

Mar 28, 2020

Very thorough in covering not only theory, but application as well.

By Gabriel G

Apr 17, 2019

Very good course, but requires a basic understanding of statistics.

By antonio q

Mar 8, 2018

very well done, thanks a lot for everything, I did learn a lot,

By Deleted A

Nov 13, 2016

a basic course of inference but i think perfecto for this mooc

By Richard D

Jul 14, 2017

Fantastic, but quite a lot of material packed into 4 weeks.

By Manojkumar P

Oct 24, 2016

It is nice course!

Amazingly challenging, thought provoking.

By Dan B

Sep 10, 2018

The content is good, but the teaching is a little tedious

By Nisarg S

Oct 30, 2018

good and detailed course.... loved the swirl exercises

By Raviprakash R S

Feb 13, 2017

Basic statistics course....could have been a requisite

By 易灿

Feb 29, 2016

Have some duplicated video, and some swirl problems

By Wenjing L

Sep 17, 2018

I wish the lecture video had higher sound volume.