If you have taken Statistics before it may help you move through this course and meet deadlines, or you will need to set aside a large amount of time daily to learn. The forums are a necessary supplement to understanding the details of the project assignments and quizzes. Rigorous and rewarding when you put the work in.

Even thou I understand some of the bad reviews that criticize this course by covering a plethora of "difficult" (or at least new) topics, Dr. Caffo and Dr Leek always provided clear explanations, and if you complete the Slidify homework assignments and read the book provided (the times required), it wont be that hard.

This course actually helped me to practice and to obtain a better intuition of the most basic Statistical Inference ideas. It covers up little content, but it focuses more on the practical understanding than on the maths. After taking it I feel like I can go and take a much more math-heavy course and I wont feel lost.

This is a great course in terms of the content it covers, and the homework exercises, quizzes and final assignment really challenge you, But no way are you covering the course without an introductory statistics book at your side, if you're a beginner (I used Statistics For Business And Economics by Anderson et al).

Very good introduction course to statistical inference. Sorts out and structures such diverse topic as statistical tests and approaches. Quite easy to solve and there is a lot more confidence to what it gives.

Give 4 out of 5 stars - it would be very good to include 2x2 contingency tables explanation here.

I very much enjoyed this class. I have taken statistics classes before and this was a good and challenging refresher. My only critique would be that the Project Review should be more rigorous. Out of 8 points for the two assignments one point was dedicated to effort and another to format/logistics.

A very good introduction to the subject. The textbook is very helpfull and the explanaitions are sufficent to gain a practical understanding. If you want to gain more in depth knowledge on statistical inference you will need to complement the course, nonetheless this is a very good course!

This course took me 3 weeks longer than anticipated, and I'm not sure it was the difficulty of the material. A lot of this information is review for me, so I am confused why it took so much time to complete. There were new topics, and I did enjoy working through the homework questions.

This was a real crash course on statistics and math theory and, giving also all the tools for data analyses. It might be nice to have more 'common language' examples, that would connect ideas of population and distribution to solving real life problems and taking real life decisions.

Very good overall though it could have more examples for the last subjects and they were harder to comprehend. Some videos seemed badly "chopped". 08 03 had picture overlaying text and 09 04 had basically 7 minutes exactly the same as the previous video. Content is extremely good.

If, like me, you do not have an understanding of the subject matter then you may struggle to complete this in the time frame. I had to retake this multiple times and found getting the basics (From Khan) first then returning helped me finally understand and pass the tests.

Difficult one for me, because my statistical knowledge was little.

The part on confidence intervals is somewhat scrappy to my opinion. I used wikipedia and google to get some extra definition stuff. These two together make me hope that i understand the theory good enough

For the length of time of this course, I though it did a good job of covering the topics. Luckily, I've had multiple previous courses on this material. I only wish there were more homeworks/project covering the analysis of real data with less theoretical work.

This course is a bit of challenge than other 5 previsouly course. I spend more than two weeks to pass it. Apart from watch video and read the PDF. I has to read other books for external material. Much hard couser. Maybe It is true start for data science path.

Perhaps I'm holding the video lectures to too high of a standard set by Roger Peng in previous courses, but the videos are difficult to follow. I can see the effort is clearly put in, but all the actions going on during the videos are distracting at times.

I found this to be a tough class and had to take it twice, but it was worth the effort. It's tough if you're new to statistics. Starts easy enough but make the time to read additional references, articles, and online videos outside the course.

I would say it is good quality content and appreciate the efforts of the authors . Though it just introduces the topic , it better to follow up with more rigorous online content/book, in order to understand the topic more deeply .

Have not taken the class but paid late in the session for the remainder of the specialization. Cannot get the 3/21 session which is what I planned on enrolling into. No help on the Coursera site. Maybe this will trigger a response

The topics from this course are very important and might be considered convoluted at times, so it is nice to see that Brian makes them actually easy to understand. Very comprehensive and has nice examples.

Difficult class, moving through a heavy amount of statistics material, but very useful. May be helpful to take this course more slowly and look for other online sources to supplement the lecture material.

The content of the course was really good and the assignments helped put things into perspective. However, the lectures and the explanation of the concepts could be done in a better and simpler manner.

the course provides the necessary information and practice assignments to build a grasp of the topic. It seems a little fast paced and people from non-statistics background may find it a bit difficult.

For starters, it will demand a lot of out of class studies. It took me three months to go through the basics in Khan Academy before attempting it - and after that it was straight forward.

This was probably the most difficult and challenging course . Had to pull out my old stats books to remember most of it. Using R to do what we used to do with TI-83's was great!

This course explores many key statistical concepts, however you are expected to extend your learning beyond the course in order to fill in any foundational gaps in statistics.