The course is quite great. It introduces basic concepts of statistics and then the applied part of the same. The project at the end of the course was even more helpful.

A beatuifully designed course for beginners. This course explains in great detail the basics and various prinicples of statistical analysis required for analyzing data.

SO helpful for understanding basic stats. Really appreciate that the text is free. The R lessons are a very good intro with excellent examples. A very helpful resource.

The Introduction to Probability and Data course is a nice step into the world of statistics and a good refresher course for those of us rusty with statistical concepts.

I really want to thank the responsible for this course. It really helped me a lot to clarify several things that previously were unclear to me, due to bad explainations

Great course! The concepts were taught well with plenty of examples along with a hands on lab session each week as long as a project at the end of the course! Love it!

This is a great starting point to master R and use it in data analysis. Not much pre knowledge is needed. The course is instructed in a way that is easy to understand.

Once you finish the course you feel great and confident of what you've learnt. The course is structured in such a way that there is a high chances of being the best.

The course was excellent!

The topics covered in the Introduction to Data Probability with R course were enriching to obtain more practical and theoretical knowledge.

A highly demanding and challenging course. Perfect course material and instructors. It was extremely enjoyable and amongst the most satisfactory courses on Coursera.

The course is very well designed and taught greatly. The madam delivered the lectures in a simple and understanding manner and made the learning very interesting.

Really good overview of basic probability theory and R. Like the focus on practical applications and real life studies that were done instead of just toy problems.

Very well put together course with good introduction to R programming and basics of statistics. Lectures are excellent, logical, well-organized and easy to follow

Great stuff, well organized lectures. From zero experience in using R to having some idea with it only took me a week to complete this course. Highly recommended!

I thoroughly enjoyed the videos, the special book accompanying the lectures and the R exercises. My particular favs are the book and the R assignments. Great job!

One of the only courses I enjoyed solving and analyzing. It is structured beautifully and is not too easy to the point you get bored. It has some fun challenges.

Very good course to start with statistics. The project is very challenging but encourages you to study harder. I am very thrilled to continue the specialization.

Muy buen curso, contiene mucha información que se explica de manera sencilla. Requiere de buen tiempo de dedicación pero se repasan y adquieren muchos conceptos.

Good introduction to data analysis with R. Installation of RStudio and downloading the markdown files was slightly tricky at first. But after that its all good.

Most of the content is useful. Some of the probability exercises do not seem necessary for someone going into applied statistics, but they were fun nonetheless.

The course is VERY helpful, I used all the things I learned from the course in my daily study, I feel more confident and committed to finish the specialization!

I use R all the time for my job and did the data analysis for my master's thesis in it as well. Nevertheless, I found this course pretty challenging (and fun)!

The material and the presentation are very clear and informative. The quizzes are not difficult but not trivial either. The final project is quite interesting.

This was a great reintroduction to statistics for me, and with the added benefit of learning to use R, or at least a beginning. I will be continuing for sure.

One of the best courses I have taken so far on Coursera. Great lecture content and excellent accompanying text (Open Intro to Statistics). Highly recommended.