25 oct. 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 .
24 sept. 2020
the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!
par Keidzh S•
16 mai 2018
Everything absolutely amazing. Sometimes there were some troubles with audio files, but I think it doesn't affect on the course. Because I have no trouble with understanding. Thank you to al masters!
par Alex B•
9 juil. 2021
Statistics was not, to put it mildly, my favorite subject in college. This class, however, managed to actually get me involved in the subject as it is tought with applicability in mind. Thank you.
par Luiz E B J•
11 nov. 2019
É um curso excelente que me fez rever muito conceitos esquecidos ou que simplesmente passaram batido durante a minha formação. É um abordagem prática que traz o que é mais relevante no assunto.
par Светлана С /•
4 oct. 2016
Well balanced course with a lot of practical examples which help to understand the theory. I apply statistical inference methods myself, and nevertheless I've found new topics here. Thank you!
par mounika v•
7 avr. 2020
Very good course for the beginners who want to learn about statistical inference, R programming. A good explanation with the helpful R exercises makes us understand the concepts very easily.
par Johannes C F•
23 oct. 2016
Brian is a very good lecturer. Even though he is knowledgeable, he goes through everything step by step and makes sure you don't fall off the wagon at any point. I had fun doing this course!
par Matti N•
10 déc. 2017
After many years had passed since my last encounter with statistics this course proved to be quite some work to complete. Nevertheless, still a great course and definitely worth your while.
par Aki T•
9 déc. 2019
In my opinion, this course is fundamental to Statistics and therefore Machine Learning. It is well explained, although it requires students to work on more mathematical aspect in parallel.
par VÍCTOR M G P•
13 déc. 2020
it was a very challenging course, but entertaining too. The course has a very good complement with additional material that helps to better understand the contents of each of the subjects
24 août 2017
Professor Brian has very explicitly introduced the basic ideas of statistics! I have learned a lot of fundamental ideas which make me more confident in doing statistics. I really like it!
par Samer A•
22 mai 2018
Very good and informative. I'd had statistics back at the university but I never understood the underlying principle of hypothesis testing. Mr. Caffo makes it look pretty clear and easy.
par David B•
23 mai 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.
par Rajkumar R•
9 mai 2020
Course is compressed and good to learn in short span. The illustrations and projects are really helpful to learn the concepts and implement. I really enjoyed through the course
par Mark F•
6 juin 2018
Loved the course, also very pleased that there was recommended reading for further study. Also loved Brian Caffo's deadpan joke delivery, really hard to know if that's an act ;)
par Yatin M•
4 déc. 2017
If you work through all the examples, you will be pleasantly surprised. This is an awesome course. Highly recommended. Many thanks to Brian Caffo for improving my understanding.
par Nils R•
28 oct. 2020
I think that this course is great. I particular like the practical exercises ; which gives hand on experience with the bit complex theory. I could miss more training quizzes.
par Pranay R•
3 juin 2019
A very conceptual course to understand the fundamentals of Inferential Statistics. I would recommend this course to all aspiring data analysts/scientists or business analysts.
par João F•
14 mai 2018
Very intensive and demanding course with interesting examples. Students without previous knowledge in statistics will likely need additional resources to complete the course.
par marcelo G•
14 août 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 Deleted A•
7 déc. 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•
24 oct. 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 Diego S•
2 juin 2020
It's good as a reminder course, but I recommend coming with some prior knowledge.
My recommendation to the instructors, update the course material, at least the videos.
par Nelson S S•
3 janv. 2021
Thank you Johns Hopkins University, thank you Coursera. I congratulate you on fulfilling your mission to provide universal access to the best education in the world.
par Vijay B•
2 nov. 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).
11 oct. 2020
Many thanks for this course! I learned a lot of things that i've never imagined that i would manage to learn! thanks for everyone who makes this become possible!