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

4.2
étoiles
4,136 évaluations
831 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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626 - 650 sur 798 Avis pour Inférence statistique

par Ramon S

19 mai 2017

Not really a logical path to follow. Too much topics for me. I really needed more examples with code.

Thanks a lot for the lessons!

par Naeem K

8 août 2016

The amount of materials is more than course period. You may need to study a couple of other resources to understand the course.

par Hernan S

15 avr. 2016

The subject is interesting, but the explanations are a little confusing. May need more diverse real-life examples to relate.

par Masahiro H

27 mars 2016

it gives an idea of how one is prepared to ingress to Data Science. I

see that I need to review it more carefully later on.

par Stavros S

21 nov. 2019

Weeks 3 and 4 should have been split into 2 extra weeks to explain the concepts deeper and also have more exercises

par Marcus H Y T

1 juin 2019

Concepts are not well explained and slides are not well prepared. Last few topics are too brief to be useful.

par Maria C I S

1 mai 2019

3 stars because a total beginner would not have been able to follow these lessons without a lot of rewinding.

par Joe F

27 nov. 2016

Materials need to be updated - there are way too many inconsistencies between videos, exercises, and slides.

par Vasudevan D

28 janv. 2018

Too much concepts to learn and practice. Course material can be little more engaging and split accordingly.

par Maxim M

10 déc. 2017

Very difficult lectures. You need a solid statistical background to keep up with the pace of the professor.

par Simon

2 mars 2017

The ideas and concepts explained here are really important but are explained/written in a bit messy manner.

par xuwei l

22 sept. 2016

lectures notes is not details enough, had to google around other materials to grasp the courser work better

par Muhammad M A S

11 janv. 2021

It's very important and very helpful, but it needs to be of more time/low speed to be perfectly absorbed.

par Rezoanoor/CS/Rezoanoor R

13 mars 2020

It covers a lot of topics, good for that but submitting assignment via Swirl is extremely boring.

par manuel s g

5 juil. 2020

This is module where I have learn less. Instructor also was not dynamic as previous ones.

par Codrin K

5 mars 2018

Too bad it all starts from mathematical theorey; I would prefer a problem based approach.

par Alex F

12 févr. 2018

Very detailed and a little painful :) but I am sure it will be useful information

par Lindsay S

2 mars 2017

These are complex topics, and just the quick overview doesn't fully explain them.

par Nicolas H

11 oct. 2020

Me hubiera gustado tener más detalle de algunos conceptos clave de estadística.

par Gibson W

9 févr. 2016

Not one a statistics newbie should take, had to take it twice just to grasp 80%

par Bernardo D

20 mai 2016

Content runs a bit fast but good course for stat inference with R focus.

par CY Z

15 juin 2019

The materials are not so clear to someone who's not familiar with stat.

par Ali M

3 mai 2017

Concepts weren't explained properly. The instructor was going too fast.

par Tomasz J

4 mai 2016

It's quite involved, fast and not explained thoroughly in some places.

par Sergey

13 juin 2017

Unfortunately, the manner of presenting information desires the best.