Chevron Left
Back to Statistical Inference

Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
stars
4,424 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!

Filter by:

501 - 525 of 869 Reviews for Statistical Inference

By Abishek S

•

Apr 19, 2020

This course is slightly difficult, and to attempt the quizzes and the project, the student must do some more external research...

Otherwise, great introduction to statistics!

By Aashay M

•

Feb 25, 2016

This is course is well written , the Lecturer notes are very handy and Swirl Lessons give us Hands on Experience in Practical Implementation.

Thanks for the instructors

By Rodrigo A d S R

•

Aug 20, 2018

Really good course, a bit difficult since it jumps right into technical language, but it gives you a good solid base for the following courses in the specialization

By Vitalii S

•

Jul 4, 2017

I think it would be better to send solution in .html and not .pdf, because you need to install 3rd party software. In other aspects course is very cool. Thank you.

By Liam P B

•

Jun 1, 2020

Good introduction to probability and statistics. I think it moves too quickly for absolute beginners but its probably a fine compromise between depth and breadth.

By Jordan G

•

Feb 14, 2016

I wish there was more R programming focus. I feel like there was a lot of theory, and then a blanket "t.test will cover this" treatment of implementation in R.

By Piotr K

•

Oct 23, 2016

Sometimes videos was difficult to understand. I needed to watch most of lectures twice. On other hand it was worth doing and I've learned basic statistics.

By Connor G

•

Aug 22, 2017

I learned a lot from the lectures and felt that the quizzes were adequately challenging, but I was expecting to do more with the peer-graded assignments.

By Max M

•

Oct 31, 2017

Maybe a little fast paced for someone seeing these topics for the first time, but overall great content that I think will be a great help in my career.

By Veronica

•

Nov 4, 2018

I've tried to learn statistics for so many time and it is never less painful. This course is a good overview and exercises/quiz always help the most!

By David J G

•

Feb 4, 2016

I think you can get a lot from this course, but you have to deploy a reasonable amount of time to find for yourself more in depth concepts elsewhere

By Antonio F

•

Jun 25, 2016

It is a good course, well taught. A full comprehension of the subjects however needs more work and research than what is needed to pass the course.

By Nik M N N G

•

Mar 27, 2019

Overall, this is a good course to learn statistics. The quality of the video could have been better but the stuff presented is still clear to me.

By Tommy S

•

Mar 8, 2019

I really enjoyed the course and material. Very good explanations in the video and the book does a good job of explaining what the videos go over.

By Rahul V

•

Jul 25, 2021

Assignments helped me to have a solid intuition of core concepts in statistics. This was a good start to the machine learning series. Thank you

By Jay S

•

Jul 29, 2016

A foundation course for data scientists! Basic statistics from University of Amsterdam on Coursera would be nice pre-requisite to this one !

By Ramiro A

•

Jun 28, 2016

Content was Great, difficult to understand some times. I had to review more sources to get the clearer idea.

Totally enjoyed the challenge.

By Robert W S

•

Mar 17, 2016

Good refresher course. It'd be a little steep of a learning curve for someone new to hypothesis testing/confidence intervals in four weeks.

By Connor B

•

Aug 28, 2019

The course project was the most beneficial for me because I got to work with real data it helped me understand the concepts much better.

By Vincent G

•

Aug 14, 2017

Very good material. I only wish the examples could be more varied to include some "business" examples as opposed to mainly bio med ones.

By Juan B M V

•

Sep 24, 2016

Touches all the key concepts of statisticas inference. A bit challenging, even more if you don't have previous knowledge of statistics.

By Harsh G

•

May 29, 2020

Overall a great course to learn and understand, few concepts weren't explained properly and I faced difficulties in adapting to those.

By Scipione S

•

Jun 16, 2020

Nice Course, probably it needs more time to study in deep certain topics like tests, confidence intervals, and resampling techniques.

By Enrico D

•

Apr 24, 2017

It is good but you have to study by yourself using different material as the video contents are not enough to understand the subject

By Tomas M

•

Mar 25, 2020

Course lectures could be a bit simpler. without that many theoretical demonstrations & more pragmatics summaries of the concepts.