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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
stars
4,449 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

MV

Apr 6, 2020

Very good course for the beginners who want to learn about statistical inference, R programming. A good explanation with the helpful R exercises makes us understand the concepts very easily.

DB

May 22, 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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226 - 250 of 874 Reviews for Statistical Inference

By Léa F

Nov 10, 2017

Thank you Brian !!! I learned a lot of things in a very short amount of time :)

By Peter G

Feb 4, 2016

Definitely the best and most useful course of the Data Science Specialization!

By VICTOR G C

Jun 4, 2020

It gives the idea and the tools that everybody needs to develop data science.

By Offiong E

Jun 28, 2017

very fast paced course. i totally enjoyed digging deep into my inner reserve.

By Deleted A

Sep 23, 2019

Muy organizado, con temarios interesantes y mucha claridad en los contenidos

By Ruddy E U S

Jun 14, 2016

It was very interesting, descriptive and joyful. I really loved this course.

By pravin

Jul 3, 2017

Very valuable overview for all statistical analysis used in future courses.

By Marcelo P

Aug 17, 2016

Need to improve the clarity of the lectures, but it´s a good course though.

By Zsolt B

Nov 5, 2020

Excellent course, each and every drop of it is highly useful and valuable.

By Hector C U R

Nov 4, 2020

Excelente Curso el contenido y la metodología de enseñanza es interesante.

By Thomas

Feb 15, 2020

Very good course. A lot of examples helping me understanding the theories.

By SATHYANARAYANAN S

Sep 10, 2017

Very good for anyone wanting to get into the field of Data Science using R

By Sukanya S

Apr 6, 2018

This is the most difficult course so far as I am not a statistics student

By Illich M

Jun 15, 2017

This is a tough course! I had to take it multiple times to understand it.

By Jorge B S

Jun 3, 2019

Very nice introductory course to statistical inference concepts using R.

By Sanjeev R

Apr 2, 2018

A great course for the beginner who are new to the field of Data Science

By Huey Y T

Mar 20, 2017

I enjoyed the lectures. The lecturer was very clear on the explanations.

By Bopeng Z

Jun 7, 2017

Very useful and thorough review of statistics. Invaluable in practice.

By Simeon E

Feb 20, 2017

Not so easy, but extremely interesting. Highly recommended to anyone.

By Sebastian R

Sep 19, 2017

Great intro to statistical inference. Also, the materials are awesome

By Raunak S

Nov 1, 2018

nice course before digging deeper into Data Science advanced topics.

By Karthik R

Aug 7, 2017

Good Course, but I think you need to have some Statistics background

By Diego N

Mar 26, 2017

Excellent course to get up to speed on important statistics concepts

By sujatabosesinha

Mar 7, 2017

Good course. Quite thorough. Nice blend of R programming and theory.

By Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.