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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!

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201 - 225 sur 443 Avis pour Statistiques déductives

par Randy M

25 avr. 2022

Excellent course. Concepts of statistics coupled with R. Nicely Done.

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 Roger

27 oct. 2022

Very good either as an introduction or as a review to the subject.

par Akira S

24 déc. 2020

A good course to establish the fundamentals of statistical inference

par Mst. F A

5 nov. 2020

Lectures are very clear and full of informations about statistics.

par Ashutosh S

30 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 Dor M

24 déc. 2020

Best statistical definitions I encountered, and a lot of practice

par Erika U

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 Alain P

1 juin 2022

Great videos and clear explanations, I recommend this course.

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 Princes R B R

27 janv. 2022

It is informing and a fun approach to inferential statistics

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 Mia S

24 mai 2021

Course taught me a lot and was actually really challenging.

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.....

par saksham b

27 avr. 2020

very good course if you want to pursue acturial science