Best statistical course ever taken!

Clear explanation with practical examples and background on the basis of the statistics applied. Highly recommend to anyone interested in statistics!

This course is good for beginners. For me I'd like to learn more about inference part of the book. Could you please tell me if you have also made videos for that? Thank for your help.

This is one of the best courses I've taken with Coursera so far. The lecture videos combine very nicely with the R training. I look forward to taking the next course in this series.

One of the better courses for understanding probability and probability distributions in a practical way using R. Thankful to Duke and Cousera for giving me financial aid. Grateful !

This course is very helpful to people who want to start to learn R. It combines the probability and R exercise to help us to learn. The teachers are also very nice to our questions.

Great and comprehensive video material. The book and programming exercises provide extra learning opportunities. I'm sure to be using my newly developed statistics skills in my PhD.

This course was built in a very objective way. All the important concepts, sometimes forgotten in other courses, are provided. The lab exercises are well made and help to master R.

This course was very helpful in teaching the basics of R and Data Analysis. Also, the labs and the final project give you a taste of how research is carried out in the real world.

Amazing! What I most liked about this course is that apart from introduction to probability concepts it also gives GREAT introduction to R programming and R studio.

Good Course!!!

I gained basic understanding of analysis using statistic concepts and R language. The professor presents the materials in a clear way and I enjoyed the class very much. Thank you.

This course helps me a lot to build a basic understanding of statistics knowledge in probability and data. I am looking forward to continue this series of courses in the future!

The Course provides a brief intro of using Python to clean and analyze data. This course is awesome for beginners who want to embark their journey in the field of Data Science.

good course but a R project should start from basics for people who are not even aware of the tool.

Please also include a little more about ggplot and its associated functions.

Excellent lecture videos and presentation of materials. I do, however, would like to note that perhaps the course would be enhanced if R language is presented in more detail.

The course offers very good introduction to statistics. The course facilitator is very good in this field and she's excellent in compressing and conveying the course content.

Incredible course!!! Definitely one of the best courses on Coursera. Amazing material, professor, lessons and final project. Congratulations for the great job and thank you!

It was my first online course on coursera. It was nice learning at coursera. The content provided in the course is very well constructed. Instructor videos are very helpful.

extraordinary lecture with clear explanation and examples.

This course is way much better than the Johns Hopkins Data Science certification. I suggest you taking this course

Great course. I am a begainer, I learned how to start with R. I also acquired knowledge of probability. Course methodology is great, you get to learn and apply the concepts.

I think there is need for to make assignment with R from week 1 to week 4 more advance to cover more R content or add another course in specialization data analysis with R

Great introduction to statistics. Dr. Mine Çetinkaya-Rundel is a wonderfully capable instructor, and she is thorough and clear in her explanation of statistical concepts.

The course absolutely great. However, I hope that almost all the materials be reviewed in the next courses since they flee so easily.

Thanks a million

SIncerely

Moein Razavi

This course was very challenging but I came through successfully. The course was excellently structured and made me understand a lot about probability and data analysis.

The readings and videos were a great overview of Probability. The labs and data project worked well at teaching the student how R can be used for this type of analysis.

Instructor explains the course material very clearly, course materials is comprehensive and homework assignment with DataCamp is the state of art online homework system.