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!
By Christopher R•
I enjoyed the RMD labs. I think they provide a great interactive hands on learning experience that video and paper assignments alone can not cover. The material covered in the labs is worthwhile as well, showing how to dissect that table into different cuts for investigation
By Thomas M•
Very good introductory course to probability and data. Very hands-on examples and outstanding explanations. I already had several statistics courses before in my life but not in this quality. I can really recommend this course to anyone who to learn more about statistics.
By NIKOLAOS K•
Very interesting course, both for Statistic and R language. Before the course I have no idea for programming, and i was felt nervous for my progress. With a lot of practice and the pace of the lectures i complete the course. For sure, i will continue to the next course!
By Karin S•
Having very little statistical knowledge and no R programming experience before starting the course, I have learned so much! The coursework goes at a good pace, the instructors are very clear and explain things well. I look forward to taking the entire specialization.
By Tewis P•
This course is very useful to know how to interpret the data, as the professors introduce R programming. R language is difficult to understand for beginners without prior knowledge, however it is not so difficult if you try your best as each command is well-explained.
By Yeonhwa A•
Thank you so much Dr. Çetinkaya-Rundel and Coursera! I was able to learn the foundation of probability with great video lectures with readings. It was not easy for me to complete the R project at the end, and I learned a lot from the final project and peer reviews.
By Sanju S•
Excellent course. Very engaging. The amount of effort the team has put in is very evident. The quizzes in the lecture make you pause, think and reinforce the concepts. I am currently doing John Hopkins data specialization as well, but this is way better. Thank you!
By DoubleJ J•
Really good introduction to the principles of probability. The lab is really useful as well because it requires you to learn how to use R. Sometimes the 'simplest' things can be challenging because of how R functions & knowing these intricacies is very useful.
By Raghav A•
The Course & Slide Material is nice.The examples used help in getting & applying the theory matter taught in the previous videos.It's great.
Only suggested thing is if the instructor could provide a word or handwritten material it would be an icing on the cake.
By Marcellus R•
Great course! Dr. Mine is a great instructor and the course structure is good. The final project is a bit challenging, especially for those who don't have prior R knowledge like me. However, I think this is the best way to learn a new programming language.
By Sky E G•
a bit fast paced for people with no background in statistics, but for those who have the basis, it is great. Mine is a great instructor.
what bothered me a bit what the way the R part and the statistics (lectures) par was unrelated and almost independent.
By Valeriy K•
I couldn't be more happy with this course. Super rich course materials, diverse tasks, hands-on labs, and many more. I really love the textbook, Open Statistics - the best statistics guides I've seen so far. Huge thanks to the professor Çetinkaya-Rundel!
By Zhou C•
A great course by Professor Çetinkaya-Rundel whose teaching is very easy to understand. It was really instrumental and interesting to join this course especially when I dealt with those related assignments and ran R in the lab. Strong recommendation!!!
By Sarah W•
Excellent course! I learned a lot about probability, and it was clear that a lot of work went into this curriculum. The slides were already perfect for taking notes from, and the examples were great. The instructor spoke very clearly and was awesome.
By Bruno R S•
Excellent introduction to statistics. An good refresher to whom have already taken such a course long ago. The course content is mostly focused on basic statistics and math, so the R programming is quite challenging if you are a complete newbie to R.
By Tae K K•
I have not taken Statistics 101 and Probability Theory 101 since college. This course was a great refresher course for review! I highly recommend this course as a refresher/review course to jump into real-world-application courses down the road.
By Khaled A I•
The course is very organized and informative. explanation is very clear.
the only issue is that the final project requires R skills that are not taught during the course. The labs during the course is extremely primitive compared to that project
By Charly A•
The professor is fantastic and the content is top-notch. A great mix of theory and real-world application. The course is not math-heavy but provides enough additional material for one to delve into those details. I highly recommend this course!
By Ilir S•
The course is well-structured and easy to follow. In addition, the professor explains it in an interesting way, not making the subject boring. Looking forward to move to the rest of the specialization once i have some free time. Great content!
By MD A S•
This is the best R programming course I ever came across on Coursera. It is very interactive and real life application based. The assignments and projects helped me to have a better understanding of technical aspects of both R and statistics.
By Corina S•
This course helped me break into the world of R programming pretty easily. I also really enjoyed the course material. The only thing I thought could use some improvement were the instructions for the final project. They were a bit too vague.
By Lindsay C•
This course was a good introduction to basic probability, experimental design, and data structure. The labs and final assignments made great use of R Studio and markdown. This course is best suited for someone who is proficient in R already.
By Prashant S•
The course was structured and explained in easy to understand fashion. The project submission at the end of the week was a challenge for a beginner like me, but having submitted it and gained a good grade on that is a satisfying experience.
By Yu L•
Useful course! very clear to make points. The instructor is very good at teaching. recommend. One thing I don't like is that for the peer review project, you have wait to long before some one else review your work and get the certificate.
By Muhammad F•
The course give me a basic understanding of basic statistics and show me how to employ statistical calculation and visualization by using R studio. One of the most exciting things is the project assignment which analyzes real-world data.