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Avis et commentaires pour d'étudiants pour Statistiques déductives par Université Duke

4.8
étoiles
1,953 évaluations
364 avis

À propos du cours

This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data...

Meilleurs avis

MN
28 févr. 2017

Great course. If you put in a little effort, you will come out with a lot of new knowledge. I recommend using the book after you have seen the movies. It gives a deeper picture of how it works. Great!

ZC
23 août 2017

This course by Professor Çetinkaya-Rundel is awesome because it is taught in a very clear and vivid way. Lab section and forum are so dope that I love them so much! Definitely strong recommendation!!!

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151 - 175 sur 358 Avis pour Statistiques déductives

par Marcus S

30 avr. 2018

This is it, this is the course where everything starts. truly recommended.

par Anushka B T

25 juin 2020

Easy to understand and great course coverage!Really enjoying statistics!!

par Fatemeh S K

13 sept. 2019

Thank you Dr. Mine Çetinkaya-Rundel, you are the best teacher I ever had.

par Alexey K

8 mars 2018

It is very interesting and well-organized base of knowledge in Statistics

par Aniruddha K

9 mai 2020

The best course to understand all the basics for inferential statistics.

par Sidhant P

24 janv. 2019

This is a great course. One can learn so many things from this course.

par Rachit K

27 sept. 2017

another wonderful course and perfect if you followed the intro course.

par Karanpal S

26 oct. 2016

Nicely explained all the concepts. Course is planned well. Thumbs Up!!

par Volodymyr F

18 déc. 2019

Excellent course! I enjoy the whole Statistics with R specialization.

par Samuli P

25 oct. 2017

Very practical and useful while also founded on good amount of theory

par Mst. F A

5 nov. 2020

Lectures are very clear and full of informations about statistics.

par Ashutosh S

29 avr. 2020

I loved the course. The instructor's way of teaching is very good.

par Parab N S

30 sept. 2019

An excellent course by Professor Rundel on Inferential Statistics.

par Erika

4 janv. 2017

Amazing review of the fundamental building blocks for statistics.

par Abaalhasan A

5 juil. 2020

Not only was this course educational, but it was enjoyable too!

par Raluca B

6 mars 2020

Explanations are great, makes it so easy to understand and fun.

par Mehdi S

6 oct. 2016

This is a fantastic course with a great instructor! Thank you!

par TUMAO, B (

12 oct. 2020

Great course right after introduction to probability and data

par Marcus V C A

18 juin 2020

It is a basic course, but the conceptual part is well taught.

par John C

6 févr. 2020

Excellent course to learn about Inferential Statistics and R!

par Veliko D

18 sept. 2019

Amazing course. Perfect balance between theory and practice!

par Lakshmi m

19 mai 2018

Great learning experience with number of good examples :-)

par Jaehong C

1 juil. 2017

This course is quite useful to learn statistical inferences.

par Alain C

17 nov. 2018

The best course I have ever done on coursera!

Simpy perfect

par Bibek D

20 nov. 2019

very informative course which was very easy to learn.....