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

4.8
étoiles
2,402 évaluations
437 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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426 - 432 sur 432 Avis pour Statistiques déductives

par Alberto M

19 juil. 2021

Nothing really works well and instructions are not clear.

par vivek d

29 avr. 2021

will do it later , right too complicated

par Muneera M

6 nov. 2021

please tel me how to enroll for free

par SachinVargheseBiju

18 juil. 2020

very irritating

par Deleted A

21 avr. 2021

putang ina

par farzad s

25 juil. 2019

awful!!

par Raul R

9 déc. 2019

pesimo