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

4.8
étoiles
1,935 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

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!

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!!!

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351 - 355 sur 355 Avis pour Statistiques déductives

par ABDULLAH F

Sep 06, 2020

Not able to grasp even a single concept. For every topic I've to go to youtube to study it. The instructor seems to read a page. There is a difference between teaching and reading

par THEJUS S

Aug 29, 2020

Such a worst course never seen in my life

par SachinVargheseBiju

Jul 18, 2020

very irritating

par farzad s

Jul 25, 2019

awful!!

par Topon C R

Dec 09, 2019

pesimo