Inferencia estadística, Universidad Johns Hopkins
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Principales revisiones
por JA
•Oct 26, 2018
Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .
por AP
•Mar 22, 2017
The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.
593 revisiones
por Bruno Rafael de Carvalho Santos
•Apr 20, 2019
this course is excellent as it is hard if do not have a good base on statistics
por Gabriel Grados
•Apr 17, 2019
Very good course, but requires a basic understanding of statistics.
por Robert Knights
•Apr 16, 2019
A lot of material to cover - can be a strain, but well explained for the most part.
por Thej Kiran Ravichandran
•Apr 14, 2019
The hardest course I have ever taken! Very hard to follow! Spent a lot of time, trying to understnad the lectures! The final assignment was really good, it really tied everything together! But the lectures and following them was a nightmare and hard to understand! I spent 55 hrs on this particular course! and the last week 4 I spent 20 hrs on this course
por Rajit Aggarwal
•Apr 02, 2019
The course is very technical and needs a) reading and practice outside of the material presented here and, b) needs you to invest a lot more time than you might believe before you start this course. So if you are looking to just understand the basics of statistical inference or if you don't have a background in statistics then this is best avoided.
por Marc Torrey
•Apr 01, 2019
Not only did this course help me to understand concepts that I have encountered in my job over the length of my career, but it also introduced me to using R Markdown, which will come in handy for future projects.
por Nik Muhammad Naim Nik Ghazali
•Mar 27, 2019
Overall, this is a good course to learn statistics. The quality of the video could have been better but the stuff presented is still clear to me.
por Paul Ringsted
•Mar 13, 2019
Relatively, this is one of the best courses and lecturers of the specialization, Brian delivers clear, thorough and well-paced lectures. These lectures on statistics, regression and machine learning are where the rubber hits the road after a lot of prep work to learn R and principles/tools of data science taught in earlier classes.
por Shimon Yannay
•Mar 10, 2019
very unclear and monotonic lectures
por Tommy Stone
•Mar 08, 2019
I really enjoyed the course and material. Very good explanations in the video and the book does a good job of explaining what the videos go over.
