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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!

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526 - 550 of 869 Reviews for Statistical Inference

By Joost L

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Oct 18, 2020

More difficult than the previous modules. Some explanations by the teacher seem to expect some basic knowledge on statistics.

By Salva C

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Dec 7, 2020

Nice course, I really enjoyed it and learnt a lot from it. These were basic notions of statistics but still very informative

By Henry L

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Jul 23, 2019

A very good introduction to statistical inference. Coves both data with known distributions and more unknown data handling.

By fabio a a l l

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Apr 24, 2017

I think the "homework" exercises are a very good idea, but

since the course is very fast paced, more exercises are needed.

By Ajit S

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Jan 26, 2019

The coverage of Confidence Interval and power of a test was really helpful. I'd recommend to all interested in analytics.

By Lluís G

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Feb 15, 2018

Very good course. Maybe in some cases it misses a little bit more depth on the why or when we apply certain methods.

By James S

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May 25, 2016

It was a pretty good course with really great examples. I feel the instruction was a bit too droll and mechanical.

By Stephan H

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Oct 9, 2017

Nice course but the estimated lengths for the assignments and swirl lessons differ from my personal time spent.

By jose c

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Aug 15, 2022

This is a good course to strengthen some basic and useful statistical knowledge used in statistical inference.

By Sandeep P

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Jun 4, 2018

The subject is really good. It's the course content which lacks a bit, it should be enhanced and elaborated.

By Mark S

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Apr 24, 2018

Good explanations, but it would be better to apply them directly to the R language and understand the output

By Marco A B V

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Dec 27, 2020

I learned more using the companion book. I think the videos should be remade. Beyond that is a good course.

By Camilla J

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Oct 9, 2017

This was the only slightly boring class in the specialisation, but we did learn a lot of R programming.

By Tiziano V

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Dec 27, 2016

Good course. It could be more clear and deep in some concepts, especially in the final part of week 4.

By AYUSH K

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Jun 5, 2020

everything is good. except the lectures are kind of boring. i hope lecturer may be a bit more active

By Gustavo W R

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Oct 26, 2018

The content is really interesting.

But the presentations (including audio and video) could be better.

By Surekha P

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May 22, 2020

The course is very deep . you need to rewatch videos if you don't understand it.

anyway, its good.

By Michael H

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Jun 2, 2018

Tough, but good information presented in a way to capitalize on R for doing statistical analysis

By Jesse M L

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Aug 26, 2020

More graphic explanations would have helped me a lot. Had to do a lot of supplemental learning.

By Manh H T

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Jan 14, 2017

The course is useful and essential not only for those studying statistics but machine learning

By Vidhi J

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Jan 26, 2020

It is pretty difficult and needs research and homework to be done from the learner's side

By Luong M Q

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Jul 27, 2017

It was hard to get into the idea of some statistics aspects, but it is helpful in general

By Frank I

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Aug 29, 2017

A very good statistcal background course, taught in a very accesible but thourough way.

By Melanie B

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Apr 2, 2018

Access to the keys to the quiz was helpful for correcting mistakes and misconceptions.

By BIBHUTI B P

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Jul 24, 2017

ok. It was really an ample amount of knowledge domain which I inculcated from this mod