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

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


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!


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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176 - 200 sur 355 Avis pour Statistiques déductives

par Murray S

Feb 09, 2017

Good coverage of basic concepts. For me personally, a

par Cormac C

Aug 02, 2017

Great course structure. Looking forward to the next!

par Akshay N

Nov 14, 2018

Fantastic. As good as it gets. Amazing textbook too

par LynchWong

Aug 03, 2017

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

par Matt N

Feb 06, 2017

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

par Gustavo L E

May 06, 2020

Very nice course! Thank you so much for Professor!

par Victorita D

Apr 12, 2018

Excellent course with a lot of real life examples.

par Ming T

May 11, 2020

The lecturer explains the content really clearly

par Hidetake T

Dec 03, 2018

nice course. it will definitely gives you skill.

par Bill K

Jan 10, 2018

Wonderful examples and detail. Excellent course.

par Julio C L J

Jun 30, 2017

Very good introduction to Inferential Satistics.

par John H

Nov 30, 2017

This course was everything I hoped it would be.

par Valerio R

Nov 30, 2017

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

par Adam A

Jun 26, 2017

Course materials are interesting and engaging.

par Harkeerat S

Jun 26, 2019

Very rigorous coursework. Loved the material.

par Subhransu S S

May 19, 2017

Beautifully driven. Nice Learning experience

par Benjamin E

Jul 12, 2020

Good practical introduction to the subject.

par 冯允鹏

Nov 27, 2016

Great guidance into inferential statistics!

par Ben R

Apr 03, 2018

Good course, gives you a solid foundation.

par Lukasz M

Jun 01, 2016

Very interesting and well organized course

par Majeed K

Oct 15, 2019

An excellent course. Thank you Ms. Rundel

par Kwang Y P

Jul 21, 2018

I really enjoyed this program. Thank you.

par Yi

May 18, 2018

Learned a lot from this excellent course.

par Vivian Y Q

May 16, 2017

Thanks Mene! You are so good at teaching.

par Keshav S

Mar 04, 2017

A tough course but in the I understood it