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

4.8
étoiles
1,951 évaluations
363 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
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!!!

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!

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176 - 200 sur 357 Avis pour Statistiques déductives

par Shao Y ( H

21 avr. 2017

Very informative! Great boost of statistical knowledge!

par Murray S

9 févr. 2017

Good coverage of basic concepts. For me personally, a

par Cormac C

2 août 2017

Great course structure. Looking forward to the next!

par Akshay N

14 nov. 2018

Fantastic. As good as it gets. Amazing textbook too

par LynchWong

3 août 2017

Really help me a lot in inference! Like it so much!

par Matt N

6 févr. 2017

Thanks, I enjoyed the course and learn a lot in it!

par Gustavo L E

6 mai 2020

Very nice course! Thank you so much for Professor!

par Victorita D

12 avr. 2018

Excellent course with a lot of real life examples.

par Ming T

11 mai 2020

The lecturer explains the content really clearly

par Hidetake T

3 déc. 2018

nice course. it will definitely gives you skill.

par Bill K

9 janv. 2018

Wonderful examples and detail. Excellent course.

par Julio C L J

30 juin 2017

Very good introduction to Inferential Satistics.

par John H

30 nov. 2017

This course was everything I hoped it would be.

par Valerio R

30 nov. 2017

Great course! I've learned a lot of new things!

par Adam A

26 juin 2017

Course materials are interesting and engaging.

par Harkeerat S

26 juin 2019

Very rigorous coursework. Loved the material.

par Subhransu S S

19 mai 2017

Beautifully driven. Nice Learning experience

par Benjamin E

12 juil. 2020

Good practical introduction to the subject.

par 冯允鹏

27 nov. 2016

Great guidance into inferential statistics!

par Ben R

3 avr. 2018

Good course, gives you a solid foundation.

par Lukasz M

1 juin 2016

Very interesting and well organized course

par Majeed K

14 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.