It has been a very interesting course for me, I have expanded my knowledge of probability and descriptive and inferential statistics, I have learned to use R to perform these calculations, and finally, I learned the incredible possibilities of making professional and useful documents with RMarkdown. Thank you very much to all the teachers of the course!

If you need a statistics refresher or an introductory class to probability, this course is definitely the best one you will find, don't think it twice, just sign up. Professor Mine Çetinkaya-Rundel is hands down one of the best teachers I've seen, she does a great job at explaining complex concepts without diluting the important theoretical information.

El curso es excelente, la profesora lo imparte muy bien, de forma concisa, clara y fácil de entender. Además, el aprendizaje de R es también sencillo y muy muy útil. Igual que el proyecto final.

Si tuviera que poner una pega, sería que es una pena que sea tan básico. Hubiera estado genial que durara una cuantas horas más. ¡Muy contento de haberlo hecho!

Great course. Even if I already call myself a Statistics enthusiast, I learned that there were still grey parts in what I have already learned before and it was all clearly stipulated and discussed in this course. On top of that, I have learned R programming from zero base knowledge in programming. I just hope I can complete the whole specialization.

Excellent! mind-blowing! I am immensely impressed by the way the coursed is designed. Very well balanced introductory course with an wonderful introduction of R (which is very needed for modern day statistical problem with huge data)! So extremely recommended for those who wants to kink start their understanding with statistics (in any field!!)!

This course gives a nice introduction to fundamental concepts of Probability and Data. It also gives a glimpse on scientific studies. The topics are very well presented and the study material is excellent.

I highly recommend this course to anyone who does not have a background on the subject and wishes to have a better understanding of Statistics

This is a great course, very helpful for people who are interested in statistics and R. I learned a lot from the lecture. Apart from the compact lecture, I also learned a lot from the peer review process, the work I reviewed and feedback I got were very helpful, I was also shocked by the efforts present in the work and feedback. Great community.

The course is very well organized. The contents of the videos are well aligned with the quizzes and R Labs . Very clear presentation of the learning goals of each week. Excellent explanation of complex concepts i.e., starting from the basics and building up step by step. Nice and smooth way of bringing real-life examples to the video-lectures.

Excellent introduction to Statistics and Probability. The course progresses at a nice pace - not too much too fast. The textbook is a great resource, and it's written in a very easy to digest way, making the concepts clear and approachable. The videos further reinforce the textbook and help clarify the material.

This class is highly recommended.

I doubt there are many professors around the globe who can match Mine Çetinkaya-Rundel's clarity of thought, her structured thinking and most importantly the the way info was packed into this course. Love the Openintro book, I still refer to it in my day to day work. Great going folks from Duke. Will see you in the Inferential Stats Module !

It took less than 3 days overall for me to finish this course, but I did this just because I wanted to refresh the basics and see if I am missing something. At the end I learnt quite an amount. Prof. Rundel's explanation is clear and concise. I would take all the courses in this specialization just because of the way she explains things.

The learning curve is steep - the difference between the lab exercises in the first four weeks and the project to be completed in the last week is huge. But I think it teaches a critical component of programming, which is to develop a self-reliant attitude and learn how to seek answers on the web. Great course, looking forward to more.

The course has been handled really well! I learnt a lot. I took this course to revisit the basics and get them conceptually clarified. And I am completely satisfied with what I have achieved.

The R programming part need instructions on how to work with an R Markdown File, I feel, as I myself spent too much time trying to figure it out.

Great, diversed material presented in a lively fashion. Inspiring and well explained. The supplementary coursebook with exercises gives the opportunity to study the subject deeper. A lot of real-life examples and a convenient way to practice using R. If the Statistics is for you, this will increase your motivation to study it.

Course covers a lot of material very efficiently. Instruction is concise, and provides a free online textbook for deeper learning on topics in case you don't fully understand them from the lecture. Be aware that the final project is a serious chunk of work, maybe 1/3 to 1/2 of the total time it took me to complete this course!

Excellent introduction to Statistics, Probability, and Data Visualization! The professor explains it extremely well and supports her instruction with helpful examples. The associated textbook is both free and high quality. The instructor of the course was a co-author of the textbook which ties the course together very nicely.

One of the best online courses I have come across. No wonder it is so popular among data science enthusiasts. The programming assignments and quizzes were very interesting and challenging. Practice questions were available in plenty and I feel very confident of my R Programming and Statistical Analysis skills now. Thank you!

All the concepts are very clearly presented and the instructor is really a great teacher!

What I liked the most is that special attention is given to the fine distinction between statistical concepts that students easily confuse, myself included.

The mentors are also very helpful and very prompt to respond to any questions.

I love how concise the lectures are, and also the quizzes provide explanations to questions I've done wrong. That's very helpful indeed. This is my first Coursera course with peer-review assignments - I'm impressed that classmates give useful and encouraging feedbacks. I also learnt a lot from reading other people's work.

Course delivers as promised. Videos are very well produced and the instructor conveys information in a concise and clear way, making it easy to take the most out of each one. In conjunction , the material provided is very well structured and allowed me to take a firm grip on the not so easy concepts of probability.

You can see how much effort there was put into this brilliant course! The content is well structured, and the examples given are perfect for understanding. I had a great time completing it, and I feel that I made great progress in a short time. Thank you to Professor Mine Çetinkaya-Rundel! You are an amazing teacher.

The course is rather easy to understand and covers most fundamental knowledge of probability that we need to know for data analysis purposes. However, the coding exercises are not enough to provide us an extensive technical skills for performing exploratory data analysis. But overall, it's a fun and awesome course! :)

Overall the course is well designed and well structured. I was pleasantly surprised by the amount of help and examples available. The only significant issue I have is that the estimates provided for amount of time needed to finish each week and assignment is grossly under estimated. I would multiply it by 4 to 5.

The course does exactly what it says it does. The lectures are amazing and the key statistics and probability concepts are provided in a very engaging way. The lab assignments/instructions are a bit outdated and need a bit of surfing through the Q&A to get the resolutions. Hope those issues would be addressed soon.

Wish I had given statistics its due in my undergrads, either way if you were wise (unlike me ;)) or otherwise, this is the course for you if you want to brush up Statistics or want to pursue it from Zero. The Final submission for this course would give you a handsome understanding of both - Statistics as well as R.