Chevron Left
Retour à Statistiques déductives

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

2,525 évaluations

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


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!!!


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!

Filtrer par :

251 - 275 sur 443 Avis pour Statistiques déductives

par Lukasz M

1 juin 2016

Very interesting and well organized course

par Majeed K

15 oct. 2019

An excellent course. Thank you Ms. Rundel

par Kwang Y P

21 juil. 2018

I really enjoyed this program. Thank you.

par Yi

18 mai 2018

Learned a lot from this excellent course.

par Vivian Y Q

16 mai 2017

Thanks Mene! You are so good at teaching.

par Keshav S

4 mars 2017

A tough course but in the I understood it

par Rachid Z

16 janv. 2023

Enhancing course. Excellent instructor.

par Jaycee R C A

24 mars 2022

It's a great course for everyone to try!

par Attaur R

26 juil. 2020

enjoyed and learn a lot from this course

par Chen Q

28 janv. 2018

Learned a lot from the class. Thank you!

par Ghassan F

11 oct. 2016

Thank you very much for the kind effort

par Yoni A

18 juil. 2020

Very powerful and insightful training.

par Aleix D

12 févr. 2019

Excellent! Clear and very interesting.

par Alessandro D M

14 janv. 2022

Really well structured and delivered.

par Mahmoud M

11 mars 2020

Simplifies teaching and easy to grasp

par 张乃千

25 mars 2018


par Emmanouil K

9 févr. 2017

Excellent course. Highly recommended!

par Andy B

3 oct. 2018

This class was...really challenging.

par Jingyu M

2 avr. 2017

Very clear lectures and nice slides!

par Ananda L

30 juin 2017

Very informative and easy to follow

par Sampreetha C

30 mai 2020

Its very difficult but helped alot

par Michael A W

19 juin 2016

Excellent course. Great jokes too.

par Afzal A

22 mars 2019

Expertly designed course, Useful.

par Edilson S

22 mai 2016

Amazing Course! Nice instructor!

par Erika C F

21 mai 2022