Jan 24, 2018
This course literally taught me a lot, the concepts were beautifully explained but the way it was delivered and overall exercises and the difficulty of problems made it more challenging and enjoying.
Mar 31, 2018
The tutor makes it really simple. The given examples really helped to understand the concepts and apply it to a wide range of problems. Thank you for this. Wish I could complete the assignments too.
By Raghav A•
Jul 17, 2017
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 Valeriy K•
Oct 25, 2019
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•
Aug 24, 2017
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•
Apr 27, 2018
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 d C S•
Nov 14, 2017
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•
Apr 19, 2016
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•
Dec 12, 2019
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•
Nov 26, 2016
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 Lindsay C•
Dec 13, 2018
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•
Aug 22, 2017
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•
Apr 17, 2018
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•
Mar 30, 2020
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.
By François P•
Jul 26, 2016
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.
By Saransh A•
Jun 27, 2016
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
By James H•
May 05, 2016
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.
By Ignacio S U•
May 28, 2017
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.
By Wang Y•
Oct 18, 2016
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.
By Guerville J•
Mar 20, 2020
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.
By Alberto P•
Jun 22, 2018
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.
By Minas-Marios V•
Oct 28, 2016
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!
By Balachandar K•
Jun 27, 2016
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.
Mar 16, 2019
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!
By anthony w•
Sep 22, 2017
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.
By shankha m•
Jan 16, 2019
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.
By Jie W•
Mar 20, 2018
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.