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

4.2
étoiles
3,975 évaluations
789 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

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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151 - 175 sur 756 Avis pour Inférence statistique

par 20e

May 07, 2018

The course is interesting and well-organized. I like it and hope to further my study on coursera.

par NAVEEN S

Oct 15, 2018

it is very helpful for me to solve the statistical problems by applications

Thank you COURSERA

par John N

May 05, 2020

Great Course! Totally Rewarding. I find it really difficult, but in the end it is rewarding.

par Louise F

Mar 19, 2020

The content was very well structured and the learning will suit all (lecture and practicals)

par Rafael S

Dec 11, 2017

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

par Ravi K G

Oct 27, 2017

The course has covered many statistical concepts which helps me in advancement of my career.

par Samy S

Feb 12, 2016

Good overview of the fundamentals, including how to avoid some common statistical fallacies.

par Pavlo S

Apr 25, 2017

It is top part of all Data Science educational program. Work hard and you will get success.

par Alexandre N

Mar 14, 2016

Very useful course! Depending on your background you may have to span it over two sessions.

par Erick M A

Aug 18, 2017

After completing this course, I feel confident enough on my statistical skills. Well done!

par Сетдеков К Р

May 16, 2019

Great reminder of statistics from my masters degree. Very condensed and easy to remember.

par Rose G

Mar 31, 2020

Hard but rewarding. I have a hard times with maths in general, but stats I can survive !

par Dan K H

Jun 16, 2016

Excellent course well explained by Brian Caffo with both theory and practical examples!

par Harland H

Jul 03, 2018

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

par Charles Z

Jul 05, 2017

Very helpful but need quite good statistic background to catch up with the learnings.

par LIWANGZHI

Jan 18, 2019

this course really provides me a insight into statistical inference. Thanks, Brian!

par André M M

Mar 04, 2018

I enjoyed a lot the theoretical content and the way it was present by the lecturer.

par Dewald O

Dec 21, 2018

very informative, very technical for a beginner, but provides a good understanding

par David R

Nov 12, 2018

Great refresher on stats and how to carry out tests in R...lots of useful examples

par Robert H

Sep 05, 2019

Very good course, well detailed and a nice introduction to Statistical Inference.

par Elmer P

Aug 19, 2018

Solid on statistics, which I think is very relevant in Data Science and Research.

par Maliheh S

Sep 17, 2017

The best course I've taken in Data Science Specialization.

Thanks Professor Caffo!

par Rodrigo P

Apr 27, 2017

Statistics is not easy, but it is very powerful to understand real data problems.

par Rok B

Jun 10, 2019

Great course! Gives a really nice and comprehensive overview of basic statistics

par Long T

Sep 10, 2017

Very nice and descent. The homework is especially interesting and well designed.