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.
por Stefan K•
May 02, 2020
I found the lectures hard to follow, they didn't help me one bit. If you get his book, read it, and do the exercises, you can save yourself some time.
por Jiapeng S•
Dec 10, 2019
The materials offered from this course is far away enough from understand the content :(
por Robert K•
Apr 16, 2019
A lot of material to cover - can be a strain, but well explained for the most part.
por Tomasz S•
Jan 18, 2020
Very fast course... Additional reading required.
por Francisco J R L•
Apr 29, 2020
Previous courses in the specialization did a very good job in relating reality vs. theory. This particular course provided great amounts of mathematical theory to support learning, however, in my opinion fails to guide the student to relate real life cases with the theory, making it harder to understand and thus not as useful as it should have been.
por Dion F•
Dec 08, 2019
I'm in the middle of the course and I'm thinking seriously to abandon it... The instructor is simply very bad (he might be very knowledgeable, but he cannot teach – at least in an online manner). I rarely leave negative reviews, but this time I couldn’t resist…
por Ramesh N•
May 18, 2020
The material covered is quite a lot, but the course content is disorganized and the delivery is not engaging. At most, you can use videos and slides as a reference and learn from other sources (as I did).
por Marcela Q•
Jan 06, 2020
Terrible professor!. Too much theory, too little coding. However, the book is great. I recommend do not watch the videos just go to the book!
por Vipin A•
Apr 21, 2020
The instructor's way of explaining things was not that good. Could not understand most of the concepts.
por John M•
Sep 30, 2019
This course was very hard to complete. The lectures were harder to follow than the previous courses.
por Alexander D•
Jan 31, 2020
Wouldn't recommend for those learning stats. Try Duke's course instead. This one was poorly taught.
por Jesse M•
Oct 05, 2016
There are better (Free!) courses out there to learn basic inferential statistics. Khan Academy is a great place to start, and Udacity has a great class that gives a good intuitive understanding. The main reason to take this class is if you are trying to finish the entire Data Science program. Otherwise, look elsewhere for an intro stats class. The instructor clearly knows the material, the class just does not do a good job of transfering that knowledge.
por Nada E N•
Apr 06, 2020
Do not take this course to learn statistics for the first time!! you would feel so helpless and you may hate the entire subject.. this course is great as a review or revision for someone who wants to recap his knowledge, but if you are learning this for the first time I really really recommend that you go through all the videos of khan academy (statistics playlist on Youtube ) and study it thoroughly, then come here to recap your knowledge.
por HIBRAIM A P M•
May 05, 2020
Los ejercicios están completamente desactualizados y no corren con versiones actuales de los programas. Es necesario que den mantenimiento a este curso, ya que los últimos comentarios que se respondieron por parte de los instructores, lo hicieron hace más de dos años.
por Nelly C•
Dec 13, 2019
There is a lot of theory in the course but it is not always treated with the necessary rigorousness; this creates confusion and makes it difficult to understand the basic concepts.
por Alessandro F•
May 20, 2020
I don't find the button to leave the course!!!!
por prahlad p•
May 08, 2020
Initially it seemed all Greek and Latin and difficult to go through. With patience and slowly going through the course material again and again things started becoming easy and interesting. Now I do understand the importance of statistical modeling and how to predict the population behavior. I have learnt a lot to apply the linear regression, confidence intervals, t-testing, poison and binomial testing, and the p-values. All in all a very good experience and the Coursera team has been a great help.
por Christopher C•
Mar 09, 2016
I learned so much from this course. Brian has an occasional irreverence and dry wit that keep things lively. I will say that I disagree with some of his interpretations, but this is OK!
I would like to see some integration of type s errors, capture intervals, and all the other things the cool kids are doing nowadays.
I am now taking Bayesian statistics online via Richard McElreath's course and this one does help a bit in understanding likelihood functions.
por Boris K•
Oct 13, 2019
This is so far the most difficult course in the specialization, but also the most useful. In this course you are taught to think like a scientist, to test hypothesis and provide evidence for your analysis. The lectures are succint and clear, the quizzes are clever and useful and the final project will make you create a very beautiful report while doing scientific work, which is the reason I started studying data science in the first place!
por Angela W•
Oct 19, 2017
I really liked this course, especially the course project at the end - the second part felt like (a really simplified version of) a task one might actually have to do as a data scientist, and I liked that through this course and the previous ones, I knew exactly what I had to do. The course itself is pretty mathematical and I think intellectually the most challenging so far, especially since it's a lot of content for 4 weeks.
por Kaie K•
Jan 16, 2016
Even as a mathematician I found it super useful to participate this class. I have learned similar material in an undergrad course, but I forgot most of it. In fact this course is so much better than the undergrad course I took, because quizzes and the project help me to learn the material by practical exercises. I am really thankful for the Data Science team for this course and all the Data Science Specialization!
por Lloyd N•
Jun 05, 2017
I thought most of the lessons in this lecture were enjoyable, since it went into the theory of decision-making from data. I feel you need to take an introduction to statistics course before taking this course though, since the lecturer goes too fast at times. I recommend Udacity's Intro to Statistics course, as it helped me understanding the lectures in this course. A+ material though in my opinion.
por amit p•
Oct 04, 2018
This course is one of the most difficult to comprehend, particularly if one does not have any prior knowledge of statistics and probability. But Swirl package of Statistical Inference helps a lot and is a good heuristic approach to learn.
P.S. I would recommend to read this lecture along with any textbook. I referred Probability and Statistics (Schaum Series).
por Prashanth R•
Jan 02, 2018
I absolutely loved this course and felt like i learned a lot about statistics. This was very informative and the peer graded assignment was a perfect way to conclude the course, by having to perform all of the phases in Data Science that I learned by taking other courses in this series. Thank you for this course! Looking forward to the next set of courses.
por Jose A R N•
Mar 31, 2017
My name is Jose Antonio. I am looking for a new Data Scientist career ( https://www.linkedin.com/in/joseantonio11)
I did this course to get new knowledge about Data Science and better understand the technology and your practical applications.
The course was excellent and the classes well taught by the Teachers.
Congratulations to Coursera team and Teachers.