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 Andrei T•
Dec 12, 2017
Excellent course, and thanks for the book! The instructors are really dedicated.
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 Federico C•
Jun 05, 2016
Loved this course. The material is presented in a way that makes it easy to understand and the examples are very interesting.
By Rahul M•
May 02, 2016
Awesome Course for Beginners
By RAGAVAN N•
Jun 14, 2016
It took less than 3 days overall for me to finish this course, but I did this just because I wanted to refresh the basics and see if I am missing something. At the end I learnt quite an amount. Prof. Rundel's explanation is clear and concise. I would take all the courses in this specialization just because of the way she explains things.
By andy d•
Jun 21, 2016
Instructor and textbook do a very nice job of using the student's intuition to explain probability theory
By Ester C P•
Feb 20, 2018
Very good for people that have no or very basic notion of probability and statistics. Lessons are very clear and easy to follow and I find exciting the possibility to deal with a "real world" data for the project
By Ângelo J F M•
Feb 22, 2018
Very clear, objective and effective course.
By xuhong s•
Jul 02, 2016
I did not pay for it, but greatly enjoyed it. It is a wonderful
By Natalia S•
Jun 15, 2016
This course was excellent, the teaching material top-notch and with excellent pedagogy. It's amazing that the course authors offer a statistics textbook almost exactly covering the course content for free. The idea to combine R and statistics is right on the money too, thanks to this one can learn 2 skills at the same time, with statistical analysis letting you practice coding in R and R helping you visualise your statistics. The lectures are divided into small, easy to absorb chunks and the teacher does an excellent job explaining the material, giving very good examples and analogies to help the students understand concepts. The exercises and assignments are fun to complete, and the course offers a flexibility in how much time you spend on it per week, e.g. there are non-mandatory exercises to do.
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.
By MARIO J G M•
Mar 14, 2018
Excelente. Es un buen curso introductorio. Hace particular énfasis en las distribuciones normal y binomial. Da una pasada introductoria a R que, entre otras cosas, no es enseñado durante las clases sino que a través de los talleres que se realizan al final de cada capítulo. Son explicados con solvencia conceptos como correlación, causalidad y generalización.
Para quienes no saben, desconocen o no han tenido contacto con markdown valdría la pena ver un par de vídeos en youtube. Yo manejaba algo de R, pero nunca había tenido contacto con markdown y me pareció una herramienta muy útil, y aunque no es explicada en las lecciones o en los talleres, el proyecto de final del curso debe ser hecho en markdown.
By Tamir L•
Jul 25, 2016
This is a brilliant course that makes statistics and probability as approachable, engaging and clear as humanely possible.
Prof. Mine Cetinkaya-Rundel explains every subject very clearly, and has included some very effective quizzes and lab exercises.
I first encountered R markdown files in this course and have used them constantly ever since.
My only tiny point of criticism is that the non-graded exercise quizzes are way easier than the real quizzes, and do not really prepare you at all to the more complex questions in the actual quizzes. It's a petty and unimportant kind of criticism in an otherwise wonderful course.
If everyone taught stats like Prof. Cetinkaya-Rundel, this important subject would have been a whole lot better understood and utilized globally.
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 Matheus R•
Mar 29, 2018
Great course, with great content and a lot of attention to detail. Definitely one of the best MOOCs I've ever taken.
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 Caio H K M•
Jun 11, 2016
Really good introduction for anyone who doesn't know probability nor R.
If you already know the basics of both, maybe this course is not for you.
By EDILSON S S O J•
May 25, 2016
Amazing Course! Amazing teacher!
By Jeremias M G•
Aug 21, 2016
It's a really useful introduction to probability and data!!!
By Arun P•
Sep 25, 2017
By Jesus M•
May 13, 2016
Material is fantastic. Instructor explains this very well and exercises are useful.
By Maciej S•
Jul 26, 2016
Very pleasant experience all
By Eric P•
Jun 01, 2017
Fantastic instructor with a great energy. There are plenty of examples to drive the concepts home and the textbook is fantastic. Highly recommend.
By Roberta H•
Feb 09, 2018
Great lectures. The course project could benefit from greater structure.
By Jennifer K•
Jul 05, 2017
The professor is so engaging and explains everything in a very clear and organized way. The project at the end of each week is a real challenge and requires you to understand well what you learned. There are additional finger-exercises in R on datacamp.com in connection with this course, which is great.