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 .
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.
par marcelo G•
Aug 15, 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).
par Claudio F S•
Dec 07, 2018
The course was quite technical and difficult, but the lectures of the teacher helps to understand the main points and reading the ebook of the course helps a lot as well.
par Vidar I•
Oct 24, 2016
Great course ! Important for those who are either going to take the Regression analysis or those who are working with data and want to do same basic hypothesis testing.
par Vijay B•
Nov 02, 2018
More practical exercises with R (like a pre-exam of examples with exercices) would give more opportunities to practice and understand the matter (R implementation).
par Claudia D•
Mar 09, 2018
This course was very helpful to remember so concepts of statistical inference. The swirl and project exercises helped me to practice more my R-programming skills
par H K V•
Nov 02, 2016
Understanding statistics is not easy, but caffo makes us to understand them easily... Thank you very much Mr. Caffo Now i can say that i know some statistics.
par Harris P•
Nov 22, 2016
I thoroughly enjoyed the swirl mode of interactive learning provided in the course. It helped me in understanding the power concept in statistical inference.
par Nathan M•
Jun 11, 2016
Great class; very informative! I was surprised to see that Brian mentioned the Central Limit Theorem; he definitely knows what he is talking about.
par Arun V K•
Oct 27, 2017
Can improve the intonation and content delivery. sentences are too complex to comprehend and lost motivation to complete the course some times,
Jul 02, 2018
best course to learn and understand deeply about statistical inference thank you Mr Jeff for giving everyone opportunity to learn this course
par Andrey V•
Mar 10, 2017
Statistical inference is one of the most useful things in data analysis.
It was very interesting and useful course!!! Many thanks to authors!
par Pavel T•
Jan 23, 2017
This course is exciting opportunity to "connect the dots" in introductory statistics. It is challenging, but very informative and engaging.
par Joonas S•
May 29, 2017
Really good course when combined with the e-book and exercises in that. Gives a really solid foundation for modelling at later stages.
par Joaquin T•
Jun 17, 2017
Extremely important subject within the specialization. Instructor is precise and articulate in his excellent delivery of the material.
par Vamsee A•
May 03, 2016
An Excellently conceived course with good content and a competitively efficient evaluation components viz., assignments and quizzes.
par Lan D•
Feb 17, 2016
I love your lectures so much, I understood much better than what it's used to be for statistics, it's funny as well, thank you.
par Jeremy J•
Nov 12, 2016
I really like the use of media by this professor. The class itself is far more analytical and work than the preceding classes.
par Surya P T•
Nov 27, 2018
Outstanding course.Thanks Coursera for providing such a good platform wherein we can attend courses of top instructor/College.
par Zhuang W•
Jul 16, 2018
This class is extremely useful as it gives me a solid basis of the statistical concepts that will be used in the course later.
par Adam R•
Oct 13, 2017
Well done course. Relevant and useful material. I've taken 6 college level statistics courses and still learned new things.
par Sabitabrata M•
Jan 15, 2017
The course should be more elaborated. I had to go through other reference books on statistics to understand all the topics.
Aug 14, 2016
There is few programming in this course. However, in this class, you will learn a lot of statistical model to analyze data.
par Norman B•
Feb 07, 2016
In debth enough to go through concepts slowly, but high level enough to keep them applicable to different problem settings
par Shruthi N A•
Nov 13, 2017
Explained in good detail, I have already studied these concepts under my coursework and hence was very easy to complete.
par Tim R•
Jun 25, 2017
Very nice course. Fellows without college probabilites and calculus might find this course very difficult to understand.