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

4.2
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4,090 évaluations
•
813 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
25 oct. 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
24 sept. 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 781 Avis pour Inférence statistique

par Arushi A

•
4 déc. 2017

Amazing course content and assignments for practical application

par Larry G

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7 févr. 2017

This course should be in 3-4 courses.

Maybe a full specialization

par Luis A M C D

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3 oct. 2020

Excellent Course, fine instructor, good material, everything...

par Siria S A

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23 août 2018

I am very very happy for complete this course I learned a lot!!

par Rafael M

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3 déc. 2017

Excellent material, instructors and practical exercices.

Thanks,

par Sergio M

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23 avr. 2018

Amazing course, great to understand basic statistical analysis

par xun y

•
25 déc. 2017

Great course that covers the basics of statistical inference.

par Leandro J M

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15 juil. 2017

This is exactly the course I was looking for. Great job guys!

par Alok K

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30 avr. 2016

Swirl is recommended for a better understanding of the course

par Praveen k

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11 nov. 2018

Good course to know the math behind inferential techniques !

par Fouad S

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31 mai 2017

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

par Ekaterina S

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1 mai 2019

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

par Georgios P

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17 nov. 2017

Quick and complete introduction to inferential statistics.

par BOUZENNOUNE Z E

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25 août 2019

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

par FELIPE P

•
4 juin 2020

amazing course to get started in the data science world

par Giovanni M C V

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16 févr. 2016

Excellent course with great didactic. Congratulations!

par Veronica F V M

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2 oct. 2017

Very Good and the swirl practices are very helpfull!!

par Carlos M B B

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9 mai 2017

Very ilustrative and full of practical applications.

par Sankepalli S K

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11 oct. 2016

Excellent course to know the basics of data science

par Rob S

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17 févr. 2020

Very good theoretical basics for working with data

par Edith

•
23 juin 2016

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

par Hasan M

•
19 mai 2020

Thanks for your great course and great professors

par Ethan S

•
7 nov. 2019

Thanks for strengthening my statistical R skills.

par Shivanand R K

•
21 juin 2016

Great and Excellent thoughts and course material.

par Vinayakaram G

•
27 mai 2016

Great Course. All concepts are explained clearly.

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