Introduction to Probability and Data with R

Introduction to Probability and Data (by Duke University) is an excellent course.

very fundamental knowledge of probability and data analysis.

This course is a great introduction to learning about statistical thinking in R. The emphasis is of course on probability and data (especially distributions and exploratory analysis), but there is also a very nice integration of R code and introductory coding to complement the main material.

Good content and nice way of teaching An awesome introduction to Probability and Data!

Very good introductory course to probability and data.

It's a really useful introduction to probability and data!!!

This course helps me a lot to build a basic understanding of statistics knowledge in probability and data.

Finally, the course project was a bit deep for introductory Probability and Data.

A very interesting course to introduce Probability and data Seriously it was amazing learning experience An Excellent course by Professor Rundel on Probability and Data Very good course for someone that is starting in Statistics and programming with R. contains detailed explanation on probability and data A very well-made introduction for newcomers The lectures in this course were fantastic.

Great course, good material and presentation, final assignment requires a bit of extra work but it's worth it for those who want to learn R. It is an excellent introduction to probability and data, but I think it would be improved by adding one week to the course dedicated to solely data analysis in R, as a precursor to the final project.

Good introduction - the pace of work is appropriate for someone working full time, yet wanting to learn more about probability and data.

disappointing final test One of the best Course to learn about Probability and Data.

Highly recommend to anyone interested in statistics!

I highly recommend taking a few courses in R in DataCamp or watching videos about R Studio (dplyr and tidyr) before attempting the labs and project.

Highly recommended.

The videos further reinforce the textbook and help clarify the material.This class is highly recommended.

I highly recommend this course as a refresher/review course to jump into real-world-application courses down the road.

I highly recommend this instructor and this course!

Highly recommend!

You can see the age of the video material showing up in some of the videos.Overall there is good help available on the discussion forums and using the statistics textbook and practicing with the example questions is highly recommended.

Highly recommend course which provide a firm descriptive stats and probability foundation.The assignment is quite challenging though.

The peer reviewed assignment is very interesting too.

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.

The thing is that the peer review criteria do not really provide a good basis to ensure that learners did indeed assimilate the course contents.

Most of the questions in the peer review assignment have a lot more to do with following a canvas and not so much with the course substance itself.

For instance, some of the peer review criteria have to do with the narratives for computed statistics and plots.

I do understand that Internet-based peer review is challenging, and that you have to settle for "neutral" criteria that are easy to assess by learners.

But the peer review grading "grid" as it currently stands is not "that" helpful in assessing whether the course contents has been assimilated.To conclude, when I took the course, my initial plan was to follow the entire specialization.

One thing I would've liked is a sample completed project, start to finish, to see what was expected- the things that got produced (which you peer review) varied hugely in quality.

course was very helpful for the begginers Peer reviews were overwhelming Excellent course, very informative I couldn't be more happy with this course.

The course project has potential, but poorly executed as a peer review assignment.

The only drawback it is the peer review assignments.

Lastly, the peer reviewed project had us apply all our understanding on real world data set which is greatly important in the long run.

This course is a very good introduction to statistics.

A very good introduction to statistics, probability, and R!

A nice blend of statistics, applied labs using R, and a final exploratory data analysis project that the course prepares you for very well.

The exploratory data analysis required in peer-reviewed assignment is relatively difficult for beginners.

It was less satisfying to complete an exploratory data analysis knowing that all my numbers were inaccurate because of not taking weights into account.

However, the coding exercises are not enough to provide us an extensive technical skills for performing exploratory data analysis.

Introduce more R before asking to create projects in R. Only because I know other programming language was I able to finish week 5.

The time required as stated for each and every aspect of this course is vastly underestimated, a trained person will be able to finish this in the given time but a beginner can easily double or triple the time needed for the tasks.

Best statistics course I've ever taken.

非常好！ Probably the best statistics course I have ever taken....... Why we even do Stats is now beginning to make sense.

I really appreciate and recommend it Instructor and textbook do a very nice job of using the student's intuition to explain probability theory one of the best course on probability i have ever taken, period Very enjoyable and useful.

Been a joyful ride with learning R , Hope to learn more I have a major in mathematics and this is by far one of the best courses I have ever taken on introductory statistics.

I look forward to taking the next course in this series.

I look forward to the other courses in the Statistics with R certificate The best learning happened through the peer graded project and reviewing others' work.

Why should we have to answer three research questions?

For the 4th week, the instructors put together a demonstration for using R to ask and answer some basic research questions.

The final R task is to work with a real-world data set, ask a few research questions, and use R to do some basic statistical analysis of the data.

This is a really great course, but it is NOT easy!There is a steep learning curve for people who are beginners in R with the project at the end being quite challenging.

I really liked the fact that we have a free book for the class and there are optional exercises for practicing what we have learned at the end of each week.

The textbook also covers some extra optional topics that are worth reading.Course Structure: The course structure is well organized with clear focus in each week.Assessment: The assessment of quiz in each week is relatively easy.

Mine Çetinkaya-Rundel is passionate about the subject and knows it inside out.

Thanks for this amazing course Mine Çetinkaya-Rundel.

Mine Çetinkaya-Rundel is an amazing teacher!