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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
3,489 ratings
676 reviews

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 26, 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 .

AP

Mar 22, 2017

The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.

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251 - 275 of 643 Reviews for Statistical Inference

By Harland H

Jul 03, 2018

Great course. Difficult concepts, but the lectures and quizzes make it easy to learn.

By JEEWESH K J

Oct 09, 2017

Very good course

By Eduardo v

Mar 14, 2018

fantastic course ! Truly recomend

By T, K

Jul 04, 2018

Good Course for Data science.

By Maggie L

Aug 21, 2017

Week 4 lessons are most useful

By Sumeet M

Dec 11, 2017

Nice

course

By Ganapathi N K

May 04, 2018

Good

By Reza K

Jan 02, 2018

Nice Course.

By Keidzh S

May 16, 2018

Everything absolutely amazing. Sometimes there were some troubles with audio files, but I think it doesn't affect on the course. Because I have no trouble with understanding. Thank you to al masters!

By Anil G

May 14, 2018

Provide deep knowledge on inference statistics,

By Erich F G

Feb 11, 2018

OUTSTANDING CLASS

By Roland P

Dec 20, 2017

Though but worth while

By Matthew C

Nov 03, 2017

One of the better courses so far in the Data Science Specialization. If you have no background in statistics, expect to spend a lot of extra time in this course, especially weeks 3 and 4. Tough, but lots of good material.

By Greg A

Feb 22, 2018

Very good course, but definitely a challenge. There is no shame in watching some of these lectures multiple times. I would recommend taking all of these quizzes until you can get 100%. It will help you out a lot in the regression and machine learning

By Sukanya S

Apr 06, 2018

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

By Amit K R

Nov 21, 2017

ok

By Tine M

Mar 02, 2018

The course was at times difficult, I found that extra research was needed to fully understand what was going on. The extra questions related to the homework questions are a great way to test your understanding of the class.

By sneha

Jul 02, 2018

best course to learn and understand deeply about statistical inference thank you Mr Jeff for giving everyone opportunity to learn this course

By Shashikesh M

Jul 17, 2017

This is one of the most important course in data science specialization series, everyone should take this course very attentive way, because it give very deep insight about the role of statistics in data science.

By Rafael d R S

Dec 11, 2017

For people who like mathematics, this is definetelly one of the course who provide most fun!

By Jay B

Aug 30, 2017

Good

By Marta S T

May 24, 2018

Very good course and teacher

By Athanasios S

Jul 30, 2018

I loved this class

By Ekaterina S

May 01, 2019

It was quite hard for me, but very usefull and motivating.

By Bruno R d C S

Apr 20, 2019

this course is excellent as it is hard if do not have a good base on statistics