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

4.2
étoiles
3,617 évaluations
700 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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76 - 100 sur 667 Avis pour Inférence statistique

par Pranay R

Jun 03, 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.

par João F

May 14, 2018

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

par marcelo G

Aug 15, 2016

Outstanding material. You can scale the difficulty and depth on the subject as you wish. Great source and references. (Recommend seeing the videos at 1.5 x speed though).

par Claudio F S

Dec 07, 2018

The course was quite technical and difficult, but the lectures of the teacher helps to understand the main points and reading the ebook of the course helps a lot as well.

par Vidar I

Oct 24, 2016

Great course ! Important for those who are either going to take the Regression analysis or those who are working with data and want to do same basic hypothesis testing.

par Vijay B

Nov 02, 2018

More practical exercises with R (like a pre-exam of examples with exercices) would give more opportunities to practice and understand the matter (R implementation).

par Claudia D

Mar 09, 2018

This course was very helpful to remember so concepts of statistical inference. The swirl and project exercises helped me to practice more my R-programming skills

par H K V

Nov 02, 2016

Understanding statistics is not easy, but caffo makes us to understand them easily... Thank you very much Mr. Caffo Now i can say that i know some statistics.

par Harris P

Nov 22, 2016

I thoroughly enjoyed the swirl mode of interactive learning provided in the course. It helped me in understanding the power concept in statistical inference.

par Nathan M

Jun 11, 2016

Great class; very informative! I was surprised to see that Brian mentioned the Central Limit Theorem; he definitely knows what he is talking about.

par Arun V K

Oct 27, 2017

Can improve the intonation and content delivery. sentences are too complex to comprehend and lost motivation to complete the course some times,

par 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

par Andrey V

Mar 10, 2017

Statistical inference is one of the most useful things in data analysis.

It was very interesting and useful course!!! Many thanks to authors!

par Pavel T

Jan 23, 2017

This course is exciting opportunity to "connect the dots" in introductory statistics. It is challenging, but very informative and engaging.

par Joonas S

May 29, 2017

Really good course when combined with the e-book and exercises in that. Gives a really solid foundation for modelling at later stages.

par Joaquin T

Jun 17, 2017

Extremely important subject within the specialization. Instructor is precise and articulate in his excellent delivery of the material.

par Vamsee A

May 03, 2016

An Excellently conceived course with good content and a competitively efficient evaluation components viz., assignments and quizzes.

par Lan D

Feb 17, 2016

I love your lectures so much, I understood much better than what it's used to be for statistics, it's funny as well, thank you.

par Jeremy J

Nov 12, 2016

I really like the use of media by this professor. The class itself is far more analytical and work than the preceding classes.

par Surya P T

Nov 27, 2018

Outstanding course.Thanks Coursera for providing such a good platform wherein we can attend courses of top instructor/College.

par Zhuang W

Jul 16, 2018

This class is extremely useful as it gives me a solid basis of the statistical concepts that will be used in the course later.

par Adam R

Oct 13, 2017

Well done course. Relevant and useful material. I've taken 6 college level statistics courses and still learned new things.

par Sabitabrata M

Jan 15, 2017

The course should be more elaborated. I had to go through other reference books on statistics to understand all the topics.

par Light0617

Aug 14, 2016

There is few programming in this course. However, in this class, you will learn a lot of statistical model to analyze data.

par Norman B

Feb 07, 2016

In debth enough to go through concepts slowly, but high level enough to keep them applicable to different problem settings