Learner reviews & feedback for Statistical Inference

4.24,454 reviews

About this 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.

Featured reviews

5.0Reviewed May 13, 2018

Very intensive and demanding course with interesting examples. Students without previous knowledge in statistics will likely need additional resources to complete the course.

5.0Reviewed 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.

4.0Reviewed May 10, 2020

This course explores many key statistical concepts, however you are expected to extend your learning beyond the course in order to fill in any foundational gaps in statistics.

5.0Reviewed Oct 22, 2016

Brian is a very good lecturer. Even though he is knowledgeable, he goes through everything step by step and makes sure you don't fall off the wagon at any point. I had fun doing this course!

5.0Reviewed 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 .

5.0Reviewed Jun 2, 2019

A very conceptual course to understand the fundamentals of Inferential Statistics. I would recommend this course to all aspiring data analysts/scientists or business analysts.

5.0Reviewed 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!

5.0Reviewed Dec 8, 2019

In my opinion, this course is fundamental to Statistics and therefore Machine Learning. It is well explained, although it requires students to work on more mathematical aspect in parallel.

4.0Reviewed Apr 18, 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!

5.0Reviewed Oct 15, 2018

This course covers the very basics of statistical inference which will help to strengthen your base concept. I loved doing the course especially the practice assignments on swirl.Thanks.

5.0Reviewed May 8, 2020

Course is compressed and good to learn in short span. The illustrations and projects are really helpful to learn the concepts and implement. I really enjoyed through the course

5.0Reviewed Mar 31, 2023

It's a great course from Jhons Hopkins university and it helped me to enhance my knowledge in my field. I would like to give special thanks to professor and coursera team.