Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.
AC
Please, make a reboot of this course with some improvements in the material.More examplesMore solved exercises.More homework.
CO
Thank you Dr Brian for the in-depth teaching from fundamental to application in real-world healthcare research
LE
Goode videos and teacher. The videos are old and it will be perfect to refresh them and make it more interactive.
AA
The material is very helpful, plus the exercises and assessments use analysis and analogical language that are very challenging.
VR
Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.
LC
The course is extremely structured. It is a fantastic "boot camp" for students who would like to learn statistics, opening the door of future data analysis.
VS
This is amazing course for reviewing categorical statistics.
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Please, make a reboot of this course with some improvements in the material.
More examples
More solved exercises.
More homework.
Thankful that a course like this exists, as most MOOCs are quite basic. And thanks to Coursera for running the courses even though attendance seems to be low (darn, that pesky calculus pre-requisite). Lecture quality is varied--some quite good (such as the lectures in Boot Camp I) and others seem like he hadn't looked at his notes for a long time. It's great to hear a stats professor talk about the strengths and weaknesses of many approaches. It complements a mathematical statistics book quite well. It would have been nice to have had some problems that were more challenging. Overall, while the Johns Hopkins Data Science MOOCs are pretty good, they are a bit more basic than what's available through MIT and Stanford.
The course is a bit chaotic.
Again, high quality videos as the first course. And same problems as the first course, which are lack of support in the discussion forums and no answers for the quizzes.
The last week was a bit rushed and unclear.
This course should be part of the Data Science specialization. Actually, you can supplement the Statistical Inference course with these two Boot camp courses really well!
A great revision of statistics, very rigorous and thorough cover of all distributions and hypothesis tests.
The course is extremely structured. It is a fantastic "boot camp" for students who would like to learn statistics, opening the door of future data analysis.
Fantastic introduction for statistics. Some quiz questions do not contain all the information required to answer them.
Outstanding professor -- more rigorous than other similar classes. Just the right degree of challenge in the quizzes.
Thank you Dr Brian for the in-depth teaching from fundamental to application in real-world healthcare research
Excellent! A great leading course to build up one with clear background to explore the data science.
Great course, although some topics require additional knowledge
This is amazing course for reviewing categorical statistics.
it is very useful to improve my knowledge
EXCELLENT - CONTENT AND DELIVERY.
It's very much informative
Great...
5
The material is very helpful, plus the exercises and assessments use analysis and analogical language that are very challenging.
Goode videos and teacher. The videos are old and it will be perfect to refresh them and make it more interactive.