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

4.2
étoiles
4,037 évaluations
803 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 .

MI

Sep 25, 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!

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226 - 250 sur 770 Avis pour Inférence statistique

par Fouad S

Jun 01, 2017

the course is good. its hard if you don't know statistics .

par Ekaterina S

May 01, 2019

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

par Georgios P

Nov 17, 2017

Quick and complete introduction to inferential statistics.

par BOUZENNOUNE Z E

Aug 25, 2019

A great course. Needs a great follow-up from the student.

par FELIPE P

Jun 04, 2020

amazing course to get started in the data science world

par Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

par Veronica F V M

Oct 02, 2017

Very Good and the swirl practices are very helpfull!!

par Carlos M B B

May 09, 2017

Very ilustrative and full of practical applications.

par Sankepalli S K

Oct 11, 2016

Excellent course to know the basics of data science

par Rob S

Feb 17, 2020

Very good theoretical basics for working with data

par Edith

Jun 23, 2016

Great course! I learnt a lot! And it even was fun.

par Hasan M

May 19, 2020

Thanks for your great course and great professors

par Ethan S

Nov 07, 2019

Thanks for strengthening my statistical R skills.

par Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

par Vinayakaram G

May 27, 2016

Great Course. All concepts are explained clearly.

par Jonathan S

Jul 02, 2020

Incredibly relevant, but incredibly difficult :)

par kameron b

Nov 30, 2019

good material, hands-on experience was excellent

par Anil G

May 14, 2018

Provide deep knowledge on inference statistics,

par Victor d l F C

Apr 03, 2020

Add ANOVA and greatest course in this subject!

par Savitri

Jan 29, 2019

Good Course to Learn the statistical Inference

par Korwin A

Feb 07, 2016

Great summary course on statistical inference.

par Alon G

Aug 18, 2017

A very interesting and very applicable course

par Andrea F

Apr 19, 2017

great course and I like the way Brian explain

par Amanyiraho R

Jan 28, 2020

Every data scientist should take this course

par Enrique A M

Sep 25, 2020

Mil gracias Coursera, Mil gracias maestros.