SM
2 de abr. de 2020
This is a great course from Johns Hopkins University . By taking this course, I improved my Data Management, Statistical Programming, and Statistics skills.
PP
12 de oct. de 2019
It is a very good course for any statistics to learn and have a sweet tastes of math and its behind functionality on data.
por Sehresh M
•3 de abr. de 2020
This is a great course from Johns Hopkins University . By taking this course, I improved my Data Management, Statistical Programming, and Statistics skills.
por Mark L
•31 de ene. de 2017
Good course on applied linear statistical modeling.
por Christian J H
•12 de dic. de 2020
I love the deep dive into understanding the math, particularly the vector and matrix algebra, going on underneath the hood. However, I would've loved further examples that kept bringing things back around to how these things can be used in real world scenarios (i.e., biological and other scientific studies). There's a fine line between proofs providing valuable insight vs. proofs being purely academic, and this course may've flirted a bit too much with the latter to be as useful as it could've been.
por Ben R
•8 de may. de 2022
Lectures are too esoteric without enough application. There are a couple references to follow-on courses that would hopefully have some "so what" material... But no sign of this so far, and it's been 5 years.
por Đạt N
•12 de oct. de 2019
It is a very good course for any statistics to learn and have a sweet tastes of math and its behind functionality on data.
por Pawel P
•18 de abr. de 2019
Very informative and interesting.
por Sergio G
•23 de jul. de 2017
Very good... Thanks
por wajdi a
•6 de jun. de 2020
thanks u all
por SAYANTAN D
•27 de jul. de 2020
Enjoyable
por RAMAKRISHNA R
•30 de jun. de 2020
Very good
por Sandeep J
•7 de ago. de 2020
This course is very powerfull for statistical linear
por Ian K
•22 de ago. de 2020
A very challenging and deeply insightful course.
por Mostofa K
•29 de jul. de 2020
good