课程概述
热门审阅
MG
Aug 14, 2016
Outstanding material. You can scale the difficulty and depth on the subject as you wish. Great source and references. (Recommend seeing the videos at 1.5 x speed though).
DB
May 22, 2017
Excellent course. After completion, I really feel like I have a great grasp of basic inferential statistics and this course introduced ideas that I had not even considered before.
301 - Statistical Inference 的 325 个评论(共 874 个)
创建者 Amanyiraho R
•Jan 28, 2020
Every data scientist should take this course
创建者 Enrique A
•Sep 25, 2020
Mil gracias Coursera, Mil gracias maestros.
创建者 ARVIND S
•Apr 18, 2020
Excellent 1st course in the specialization.
创建者 Robert J C
•Sep 8, 2019
Good introduction to statistical inference.
创建者 Iñaki O
•Jul 2, 2018
Nice course, with very practical approach.
创建者 Eslam G
•Mar 18, 2021
Excellent Course
Practical and application
创建者 Himanshu R
•May 23, 2018
Good Course to understand the Statistics
创建者 Berthold J
•May 26, 2017
very instructive and hands-on exercises
创建者 Nilrey J D C
•Apr 23, 2017
nice course to review basic statistics
创建者 Fernando M
•Oct 18, 2016
Very clear and useful. Excellent course
创建者 Phoebe M
•Mar 7, 2021
help increase my statistical knowledge
创建者 Lopamudra S
•Mar 30, 2018
This is a good course for a begineer.
创建者 akshat
•Aug 7, 2017
very helpful to understand sattistics
创建者 Claudio M d S e S N
•Feb 15, 2016
Very usefull course. Congratulations!
创建者 Greig R
•Aug 14, 2017
Challenging, but interesting course.
创建者 Vivek G
•Apr 20, 2020
Very useful and interesting course.
创建者 Tor G
•Aug 24, 2017
Great course, covering the subject!
创建者 Rishabh S
•Feb 12, 2017
Very useful and informative course.
创建者 Rohan S
•Jul 22, 2016
It was a really informative course.
创建者 Theophilus N
•Jun 12, 2023
Very intuitive and very insightful
创建者 Mohamed A
•Oct 14, 2017
Really great course , well done ;)
创建者 yifan
•Mar 13, 2016
很好的课程,特别是swirl交互式学习很有意思,也能熟悉R语言的使用
创建者 David M
•Feb 15, 2021
very good, it is a useful content
创建者 Eduardo v
•Mar 14, 2018
fantastic course ! Truly recomend
创建者 MUZAFFAR B H -
•Oct 2, 2017
A good dive into data analytical.