Mar 01, 2017
Great course. If you put in a little effort, you will come out with a lot of new knowledge. I recommend using the book after you have seen the movies. It gives a deeper picture of how it works. Great!
Aug 24, 2017
This course by Professor Çetinkaya-Rundel is awesome because it is taught in a very clear and vivid way. Lab section and forum are so dope that I love them so much! Definitely strong recommendation!!!
von Ruben D S P
•May 28, 2019
great class, I improved many Statistics skills and learned R at the same time
von Heungbak C
•Jun 06, 2019
Very useful and meaningful lectures!
I learned many things from this course.
Thank you.
von Robin M
•Jun 17, 2019
Great course, more difficult than the first module. The code was super useful to learn.
von David B J
•Jun 21, 2019
Very nice job of explaining the material. I love the diverse set of examples used in the lectures and labs.
von Harkeerat S T
•Jun 26, 2019
Very rigorous coursework. Loved the material.
von Mit P
•Jul 08, 2019
Great learning experience. Very well crafted course. Thank you Dr. Rundel and the entire team of instructors!
von gerardo r g
•Jul 23, 2019
awesome
von Eduardo M
•Jul 25, 2019
Excellent!
von Tran T H
•Aug 03, 2019
It is very helpful to me.
von Jacob T
•May 07, 2019
The best online course I have taken so far. It teaches you all the statistical methods you need to do for inference. The lessons are well taught and organized in a way where each lesson builds off the previous. The final project is also a great way to put everything you learned throughout together.
von Amruta G
•May 23, 2019
It's a great course! Helped me identify and clarify lots of concepts which I had understood just halfway in class.
von Nandkishore
•Jun 12, 2019
seeking statistics inference through example in very convenient and easier way
von schlies
•May 31, 2019
good course
von fatima s
•Sep 13, 2019
Thank you Dr. Mine Çetinkaya-Rundel, you are the best teacher I ever had.
von Veliko D
•Sep 18, 2019
Amazing course. Perfect balance between theory and practice!
von Parab N S
•Sep 30, 2019
An excellent course by Professor Rundel on Inferential Statistics.
von Giulia T
•Nov 12, 2019
Nice follow up from the previous course in the specialisation. The teacher is clear and the main concepts are reminded throughout the course and explained in good depth
von Nikhil K
•Nov 15, 2019
This course was simply amazing.
von Bibek D
•Nov 21, 2019
very informative course which was very easy to learn.....
von Soumya A
•Nov 26, 2019
good learning
von Majeed K
•Oct 15, 2019
An excellent course. Thank you Ms. Rundel
von Hao C
•Nov 06, 2019
Teaching: I really like the clear and concise teaching style of lecturer and the wide range of simple real-life example used to explain the course content.
I’m a social science student. Although I’ve studied quantitative research methods before, this course gives me some new insights into inferential statistics. I think I will never forget the statistical meaning of p-value after this course!
Course Structure: The course structure is well organized with clear focus in each week.
The first and second weeks are easy to follow, but the third and fourth weeks are more challenging.
Textbook: The textbook used in this course is a good supplementary material, although it is not necessary to read the textbook. Course videos have already explained everything that we need to know at intro level. However, it is worth reading the textbook for the third and fourth weeks.
Assessment: The assessment of quiz in each week is relatively easy. The exploratory data analysis required in peer-reviewed assignment is slightly challenging, because it might be hard for beginners to touch every required point.
von Charlotte C
•Oct 20, 2019
This is the second in the series with professor Çetinkaya-Rundel. She explains everything very well and makes the subject fascinating.
von Peter C
•Nov 19, 2018
I thought this course did a great job of incorporating R code into the lecture and hope that continues in future courses.
von Sergio E T
•Jan 04, 2019
The inference function and hypotheses tests are really useful. Permutation tests need more explaining and examples; otherwise they should not be included.