When I was in Engineering School I learned Probability and some Statistics, but this course goes a bit further teaching you how to make Data Analysis based on them. Good teacher and good material, I really recommend it.

The best learning happened through the peer graded project and reviewing others' work. However, the course focuses more on statistics. If the learner wants a good grounding on R this may not be the best course to take.

Absolutely a must taken course for social science students. The instructor is very articulate and explains theories， concepts and formula clearly. The exams and assignments are necessary for strengthening your learning.

The course clearly builds the bases of Statistics from very scratch. The best part is the implementation via R Labs and final project. Highly recommended and looking forward for the next course of the specialization.

This is great. I have so many notes from only the first Week of classes. The teaching style is very engaging for an introduction class. A little theory, a practical example or two, and then a practice project. Great!

The course was amazing! Especially for me as a beginner, it was not much difficult to get the hang of things!! Hats off to the amazing teacher and her enthusiasm to teach difficult things easily. Highly recommended!

Great instructor. Miné explains things really well. I have taken a few statistics courses and I consider myself well conversant with the basics, despite that when she explains the fundamentals I learn something new.

The course gave a great introduction to statistics and R. I think it would have been more helpful to have a pre-requisite reading for RStudio before jumping into the projects but the course was overall very good.

Great course. Videos were easy to understand and follow. Assignment instructions were a little vague and left to interpretation. Great community of learners! Instructors were extremely responsive to inquiries.

Very good for people that have no or very basic notion of probability and statistics. Lessons are very clear and easy to follow and I find exciting the possibility to deal with a "real world" data for the project

Mine is a great lecturer. Material is well organized and presented in a clear, understandiable form. The final project is helping to have a good appreciation of what R programming is and it is interesting too.

Concise and well-made introduction to the basics of statistics with practical examples in R.

The peer-review assignment is very interesting and makes you think and apply statistics that you learn from the videos.

I highly recommend this course to anyone looking to gain a solid understanding of probability and data analysis with R. It's a great investment for anyone seeking to enhance their academic skills and knowledge.

Excellent introduction to statistical concepts using the R programming language. The data science project in Week 5 is particularly useful for building the skills necessary to conduct exploratory data analysis.

Great course, well taught and steady paced. The weekly assignments and quizzes really help one learn statistics and R programming. It's a good course to get started with R programming and statistics in general.

Very good and easy to follow introduction to probability. It might seem a bit easy, but the courses get harder once you progress past this one. Peer reviews were no problem, as enough people take this course.

Very well planned course, with awesome orator and explainer and with a lot of additional materials for better understanding. The only hard thing is the last project. It takes much more time than it's written.

Great course, overall! Dr. Cetinkaya-Rundel does a great job explaining everything in such a clear and simple way. The labs where you learn and practice R skills are also wisely designed. Highly recommended!

This course has been very helpful at explaining concepts. I am so happy learning about the conditional probability. I would to suggest that R codes will be summarized in one file for the students' reference.

This course was absolutely amazing. I learned a lot about how metadata is analyzed, how results can be obtained from gigantic chunks of data that can be obtained using just simple commands. Amazing course!!!

It felt a little short, but what it covered was interesting and well taught. There were lots of resources about starting R so that it wasn't overwhelming, as can be the case with a new programming language.

Its a good start to the series. My only complaint is that the quiz and the lab assignments needs to be much harder. Its too easy to pass them. You dont get a feeling that your are being tested thoroughly.

Very interesting curse, I learnt a lot, but I also invested a lot of time learning R for the final work, but this is a good practical approach if you are interested in the thema. Txs to Duke University !

Explanations are excellent, lecturers are highly intelligent. Although a bit costly as per socio-economic conditions in my country, the course is a must if you want to make a career in Statistics and R.

I have watched the introduction video to this course and i was glad to learn some basics of probability. I hope it will enhance my data analysis skills and help to realize my career as a data scientist.