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Avis et commentaires pour d'étudiants pour Inférence statistique par Université Johns-Hopkins

3,652 évaluations
715 avis

À propos du cours

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....

Meilleurs avis


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 .


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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401 - 425 sur 683 Avis pour Inférence statistique

par Zoran K

Apr 20, 2017

Statistics was relatively new to me, so it was a steep learning; Overall I liked it.

par Paul M

Dec 30, 2016

Great Course. Material much more challenging than courses in the program to date.

par Sandhya A

May 23, 2018

I learned a lot, but found it relatively difficult as compared to other courses

par Francisco G A

Jun 26, 2016

good curse, but it's hard by short time to study all lessons and practice it.

par Sherifat A

Sep 12, 2018

Took a lot of time and re watching the videos but the knowledge was worth it

par Artem V

Dec 15, 2016

It's not the math that is hard, it's the phrasing, vocabulary and semantics.

par Shubham G

Dec 16, 2016

Very informative lecture and Brian explained concepts pretty well. Thanks..

par Falko K C

Aug 07, 2016

Great course, could use some review though. Still give it a big thumbs up!

par xuanru s

Nov 28, 2016


par Meredith C H

Aug 26, 2018

Taught a lot of useful skills, but lectures were often hard to follow

par Rohit D

Mar 21, 2017

Nice course, but need more detailed one for those new to statistics.

par Jack F

Mar 28, 2020

Very thorough in covering not only theory, but application as well.

par Gabriel G

Apr 17, 2019

Very good course, but requires a basic understanding of statistics.

par antonio q

Mar 08, 2018

very well done, thanks a lot for everything, I did learn a lot,

par Deleted A

Nov 13, 2016

a basic course of inference but i think perfecto for this mooc

par Richard D

Jul 14, 2017

Fantastic, but quite a lot of material packed into 4 weeks.

par Manojkumar P

Oct 24, 2016

It is nice course!

Amazingly challenging, thought provoking.

par Daniiar B

Sep 10, 2018

The content is good, but the teaching is a little tedious

par Nisarg S

Oct 30, 2018

good and detailed course.... loved the swirl exercises

par Raviprakash R S

Feb 14, 2017

Basic statistics course....could have been a requisite

par 易灿

Feb 29, 2016

Have some duplicated video, and some swirl problems

par Wenjing L

Sep 17, 2018

I wish the lecture video had higher sound volume.

par Anton K

Jan 03, 2020

the material is good although lacking in details

par Darky C

Oct 19, 2019

Not details enough to truly understand inference

par Michael E

Aug 28, 2016

Good course. Very interesting.

pace is very high