Chevron Left
Retour à Statistiques déductives

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

4.8
étoiles
1,937 évaluations
361 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

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!!!

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!

Filtrer par :

201 - 225 sur 355 Avis pour Statistiques déductives

par Attaur R

Jul 26, 2020

enjoyed and learn a lot from this course

par Qin C

Jan 29, 2018

Learned a lot from the class. Thank you!

par Ghassan F

Oct 11, 2016

Thank you very much for the kind effort

par Yoni A

Jul 18, 2020

Very powerful and insightful training.

par Aleix D

Feb 12, 2019

Excellent! Clear and very interesting.

par Mahmoud M

Mar 11, 2020

Simplifies teaching and easy to grasp

par 张乃千

Mar 25, 2018

我认为是一个非常棒的课程,明了清晰。但是如果会在最后来一些总结的话就更好了

par Emmanouil K

Feb 09, 2017

Excellent course. Highly recommended!

par Andy B

Oct 04, 2018

This class was...really challenging.

par Jingyu M

Apr 02, 2017

Very clear lectures and nice slides!

par Ananda L

Jun 30, 2017

Very informative and easy to follow

par Sampreetha C

May 30, 2020

Its very difficult but helped alot

par Michael A W

Jun 19, 2016

Excellent course. Great jokes too.

par Afzal A

Mar 22, 2019

Expertly designed course, Useful.

par EDILSON S S O J

May 22, 2016

Amazing Course! Nice instructor!

par Nikhil K

Nov 15, 2019

This course was simply amazing.

par Chen S

Jun 06, 2016

very useful, easy to understand

par Sophie G

Jul 25, 2018

Very interesting, well taught.

par Do D T

Sep 03, 2017

good but hard and more complex

par Evelyn P

Jul 14, 2017

The course was really good !!!

par Mikhail E

Jan 09, 2017

Super puper really cool staff!

par Marina C R

Jul 31, 2017

Excellent course and teacher.

par Jimmy S

Jun 02, 2017

Excellently organized course.

par Minasian V

Aug 11, 2016

Very usefull and interesting.

par Daniel G P C

Jan 24, 2020

It was good I learned a lot.