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

4.2
étoiles
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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176 - 200 sur 781 Avis pour Inférence statistique

par Harland H

3 juil. 2018

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

par Charles Z

5 juil. 2017

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

par LIWANGZHI

17 janv. 2019

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

par André M M

4 mars 2018

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

par Dewald O

21 déc. 2018

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

par David R

12 nov. 2018

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

par Robert H

5 sept. 2019

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

par Elmer P

19 août 2018

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

par Maliheh S

16 sept. 2017

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

Thanks Professor Caffo!

par Rodrigo P

27 avr. 2017

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

par Rok B

10 juin 2019

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

par Long T

9 sept. 2017

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

par danxu

22 mai 2016

Very useful !

Teacher is awesome, statement is clear and simple.

love this course!

par Bruno R S

20 avr. 2019

this course is excellent as it is hard if do not have a good base on statistics

par Vinicio D S

22 déc. 2017

Great course for getting an introduction into the Stats needed for Data Science

par Léa F

10 nov. 2017

Thank you Brian !!! I learned a lot of things in a very short amount of time :)

par Peter G

4 févr. 2016

Definitely the best and most useful course of the Data Science Specialization!

par VICTOR G C

4 juin 2020

It gives the idea and the tools that everybody needs to develop data science.

par Offiong E

28 juin 2017

very fast paced course. i totally enjoyed digging deep into my inner reserve.

par Carolina G G

22 sept. 2019

Muy organizado, con temarios interesantes y mucha claridad en los contenidos

par Ruddy U

14 juin 2016

It was very interesting, descriptive and joyful. I really loved this course.

par pravin

3 juil. 2017

Very valuable overview for all statistical analysis used in future courses.

par Marcelo A P

17 août 2016

Need to improve the clarity of the lectures, but it´s a good course though.

par Zsolt B

5 nov. 2020

Excellent course, each and every drop of it is highly useful and valuable.

par Hector C U R

4 nov. 2020

Excelente Curso el contenido y la metodología de enseñanza es interesante.