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!
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!)
par 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!
par 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!
par 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.
par 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.
par 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.
par 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.
par 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.
par 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.
par François P•
A very nice intro to the topic!
The course is problem-oriented and introduces important concepts in relation to questions that will interest the student. It also gradually introduces R and its use for statistics analysis. I recommend it.
par Saransh A•
Absolutely wonderful course
With the basics of Probability and Statistics to it's implementation in R
Everything is very simple and the text book is very much in accordance to the course, also the lab exercises are very well planned out
par James H•
Interesting and enjoyable. Very clear explanation of concepts in the videos and text. Begin using R in the first week, with exercises that allow you to pick up a few commands fairly easily and start analysing data and creating graphs.
par Ignacio S U•
I've been using coursera for over 4 years and never had I seen a course as good as this. It is pretty concise and integral. It plays between theory and practice and recommends a handful of references. The course is totally worth it.
par Wang Y•
A great course to start learning about probability and statistics, as well as basic R programming. The final assignment is quite challenging for an introduction course, so plan ahead to make sure you have enough time to complete it.
par Guerville J•
Great explanations - it was good to review all the foundations and learn R in the process.
The final assignment was very long to achieve.... more 8 hours than the 2 hours advertised.
But I really learned how to use R in the process.
par Bharath S•
This course helps students pursuing academics in statistics by laying a strong foundation in the field of statistics and probability.
The course has been formulated with excellent examples to explain concepts in an effective way
par Alberto P•
Great introduction to probability. It's brief, it contains great tools and strategies on how to evaluate a statistical situation. It shows a nice start on how to use R with RStudio. Great for beginners on R and/or probability.
par Claude N•
This course is very well organized and the presentations are excellent. The material is at the right level of depth. It is also very effective in an online format. Well done! Okay, on my way to the next course in the series.
par Vaibhav D•
I found this course really helpful in understanding the important concepts of Probability and Statistics. The Instructor has explained the concepts with many interesting examples. The R exercises were particularly helpful.
par Minas-Marios V•
Very good introductory course! The lectures were very interesting, highly due to the instructor's engaging and passionate attitude ! Very smart and helpful quizes too, with a very detailed data analysis project at the end!
par Balachandar K•
Professor Rundel makes the subject interesting by quoting real time examples in the videos. This course will certainly help beginners in statistics. The entire specialization is a step by step process to master statistics.
par Liang Y•
I have learned a lot details which I am confused from other courses in the course. I think that it can take more details in it, such as the inference about the formula of the binomial distribution!
Thank you a lot teacher!
par anthony w•
Im really glad I took this course and had the direction of a competent teacher and staff. I made more traction than studying on my own. Its amazing how flexible R is and I look forward to using it professionally one day.
par Juan R•
When I was in Engineering School I learned Probability and some Statistics, but this course goes a bit further teaching you how to make Data Analysis based on them. Good teacher and good material, I really recommend it.
par ShankhaShuvra M•
The best learning happened through the peer graded project and reviewing others' work. However, the course focuses more on statistics. If the learner wants a good grounding on R this may not be the best course to take.
par Jie W•
Absolutely a must taken course for social science students. The instructor is very articulate and explains theories， concepts and formula clearly. The exams and assignments are necessary for strengthening your learning.