Excellent

amazing!

Thanks.

Good!!

good

Good

.

I enjoyed the course.

I noticed a strong acceleration from week 2 to week 3, and in some case, it may be difficult for non native English speaker to answer correctly to the question (as it is formulated), event with years experience of high level business english (including in legal/contract analysis).

The course covers many aspects, but one may have to wait a little for some parts to be clarified (you may experience a lot of questions before getting the answer some lectures after

It was wonderful! I just would like to have a section where to ask for questions to be answered by the teachers, because the foruns sometimes made me more confuse and unconfident...

At the end of the course, I still don’t know:

- How to discover in R that BMI is higher in men

- What to do with variables with many missing values

Thank you for the course. I will keep doing the other courses...

Overall the course has been satisfacory and helped in learning and refining the key statistical concepts in Public Health. It could be more helpful if videas were a bit longer and a bit more elaborative, as sometimes it became tough having a clarity on given topics and those times had to resort to google searches or youtube videos on the given topic.

Indeed the course is great as a start. It is very focussed on public health, so it is suitable for those who are interested in medical research. It introduces the hypothesis formulation in an amazing way. In addition, it highlights the main commands in R that will set some grounds, yet one needs extra self-practice.

The instructor is clear and engaging. I enjoyed the real world examples that were used. My only reason for less than 5 stars is the amount of reading in week 3/4. I very much prefer videos to introduce the concepts, and then perhaps additional readings for further information... More video please!

Very nice introduction, not so much watching but actually doing and reasoning with your head. This helps you going with your own pace. The professor is nice and informative and the course is well built. I liked to have the chance to explore some R and R studio along the studying. Well done!

Excellent course. Step by step approach. I appreciated the video's and the learning material in the background presented in the accompanied papers. In addition, the exam questions and quizes were in line with the discussed subjects.

This course covers up the very basic and important aspects of Statistics and Hypothesis Testing. What could have still been added were some more complex scenarios where this knowledge can be used and Hypothesis could be formulated.

wonderfully delivered lectures. however as a newcomer to R statistical software, i had a tough time trying to complete the course. i guess there is a need for a beginner like myself to have an introduction to R

It was a great experience where I was introduced to public health research and some of the basics of statistics in public health. The only problem I had is to get familiar with R because of technical issues.

As I said, this is a good course for people who are looking for an introduction to statistical thinking. It only lacks R coding and simulations to exemplify rather than pen and paper.

This is a great course for Introduction to Statistics & Data Analysis in Public Health. It covers all the necessary topics and provides a well designed learning structure.

Challenging but very informative. Sometimes I was not clear on the concept but usually there was a discussion a couple of clicks away which elucidated things,

Buen curso, excelente cantidad de contenido. Creo que hay que tener un conocimiento mínimo de R. Me gustaron mucho los videos. Los ejercicios son excelentes.

Great course to start learning statistics in public health. I love the example data that are closely related to public health field. Thank you very much!

very helpful and usfule course in what concerns the research field in every scientific domain. thanks for Dr tarabay who introduced us to this course