great class, I improved many Statistics skills and learned R at the same time

Very useful and meaningful lectures!

I learned many things from this course.

Thank you.

Great course, more difficult than the first module. The code was super useful to learn.

Very nice job of explaining the material. I love the diverse set of examples used in the lectures and labs.

Very rigorous coursework. Loved the material.

Great learning experience. Very well crafted course. Thank you Dr. Rundel and the entire team of instructors!

awesome

Excellent!

It is very helpful to me.

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.

It's a great course! Helped me identify and clarify lots of concepts which I had understood just halfway in class.

seeking statistics inference through example in very convenient and easier way

good course

Thank you Dr. Mine Çetinkaya-Rundel, you are the best teacher I ever had.

Amazing course. Perfect balance between theory and practice!

An excellent course by Professor Rundel on Inferential Statistics.

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

This course was simply amazing.

very informative course which was very easy to learn.....

good learning

An excellent course. Thank you Ms. Rundel

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.

This is the second in the series with professor Çetinkaya-Rundel. She explains everything very well and makes the subject fascinating.

I thought this course did a great job of incorporating R code into the lecture and hope that continues in future courses.

The inference function and hypotheses tests are really useful. Permutation tests need more explaining and examples; otherwise they should not be included.