Chevron Left
Retour à Statistiques déductives

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

4.8
étoiles
1,894 évaluations
358 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

Mar 01, 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

Aug 24, 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!!!

Filtrer par :

151 - 175 sur 353 Avis pour Statistiques déductives

par Fatemeh S K

Sep 13, 2019

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

par Alexey K

Mar 08, 2018

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

par Aniruddha K

May 10, 2020

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

par Sidhant P

Jan 25, 2019

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

par Rachit K

Sep 27, 2017

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

par Karanpal S

Oct 27, 2016

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

par Volodymyr F

Dec 18, 2019

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

par Samuli P

Oct 25, 2017

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

par Ashutosh S

Apr 30, 2020

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

par Parab N S

Sep 30, 2019

An excellent course by Professor Rundel on Inferential Statistics.

par Erika

Jan 04, 2017

Amazing review of the fundamental building blocks for statistics.

par Abaalhasan A

Jul 05, 2020

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

par Raluca B

Mar 06, 2020

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

par Mehdi S

Oct 06, 2016

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

par Marcus V C A

Jun 18, 2020

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

par John C

Feb 06, 2020

Excellent course to learn about Inferential Statistics and R!

par Veliko D

Sep 18, 2019

Amazing course. Perfect balance between theory and practice!

par Lakshmi m

May 19, 2018

Great learning experience with number of good examples :-)

par Jaehong C

Jul 01, 2017

This course is quite useful to learn statistical inferences.

par Alain C

Nov 17, 2018

The best course I have ever done on coursera!

Simpy perfect

par Bibek D

Nov 21, 2019

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

par saksham b

Apr 27, 2020

very good course if you want to pursue acturial science

par Shao Y ( H

Apr 22, 2017

Very informative! Great boost of statistical knowledge!

par Murray S

Feb 09, 2017

Good coverage of basic concepts. For me personally, a

par Cormac C

Aug 02, 2017

Great course structure. Looking forward to the next!