I always wanted to learn statistics from scratch, but I never had a good university teacher. Here I found a good teacher and also the opportunity to learn whenever I want ( and skipping parts I knew!)
After trying several courses to get me started with R programming, this one came to the rescue and had all the info I wanted. It also provides a great way to practice through labs and a final project!
par Lilian B C•
I've loved this course. But i should say that you should improve more probability questions to practice before the tests. It will be very helpful! And also more graph using categorical data!!
par GUIRONG L•
The final project is quite challenging but I have learned so much from this course. The lecture is great and the professor explains each concept well with examples. Really worthy of taking!!!
par Sadashiv N•
This course was quite helpful for someone who like me who doesn't have a strong understanding of statistics. The highlight of the course was learning a new data analysis tool - R and RStudio.
par Hunter B•
Great course - great guidance through RStudio coding. Would be great if the instructor could slow down a bit during lectures to make taking notes easier. Otherwise very happy with the course.
par Carly D•
excellent course. lots of material to work off of. I wish there were more tutorials for the R language! I would love to learn more of the capabilities of the program through this online tool.
par Yekaterina K•
Great course, which is very well explained. I loved how every module has a lab assignment, which makes theory easier to understand. Final project was very interesting too! Highly recommend.
par Oliver W•
A very well prepared course!
The videos' length is optimal, the course book is free of charge and easily understandable.
If you expect a mathematics lecture, you will be disappointed though.
par Stefano S•
Very good introduction to statistics, for absolute beginners, like me, as to statistics and also to R. If you take it seriously you can learn a lot. Classes and Labs very well organized.
par Brian C R•
This is a very accessible intro to statistical analysis, light on math but heavy on intuition, and the R programming labs are a superb way to practice and really learn to apply the tools.
par Sayan S•
Really lovely course to begin your journey towards working with 'Statistics'(Using R). Had started this course just to understand the basics. Now I will try to finish the specialization.
par Alfredo S•
It was very simple to understand, excellent teachers. I really enjoyed it! I use statistics on a daily basis and this consolidates my knowledge. Plus, it helps me enhance my skills at R.
par Rashmi S•
This one was really a tough course to accomplish. The real-life assignment gives opportunity to apply the concepts on actual data, ensuring both theoretical and practical understanding.
par Ryan M•
This was an excellent course, I found it easy to follow and I learned a lot that pertains directly to my career. I look forward to the other courses in the Statistics with R certificate
par Joachim S•
Duke university makes the best classes by far. This statistics class has been a better introduction to data science than any of the "introduction to data science" classes i have taken.
par Balan R•
It was a great course. The videos were clear in the content and ideas. I personally struggled coming up with research questions for the project. But it was a great learning experience.
par Tiong S C•
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!
par Jie X•
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.
par Tony M•
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.
par anand v•
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 !
par Wang Q•
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.
par Nicole B•
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.
par Pat B•
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.
par Ayushmaan D V•
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.
par Artur I•
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.
par Mei L F•
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.