学生对 约翰霍普金斯大学 提供的 生活中的数据科学 的评价和反馈

Clear explanation of various concepts with good examples. Of course, reference to some cool cartoons from time to time made the concepts more memorable!

Esta serie de cursos, es recomendable para iniciar en la carrera de Ciencia de Datos, conceptos claros, expuestos por catedráticos de primer nivel

An amazing course for those who are not very familiar with statistics and a very refreshing perspective for those who actually knows statistics!

I just finished this course but I cant enroll to the last one (I have 4/5 course in this moment). Can you please help me?? thanks!!!

Wanted some practical examples - of calculating P values with sample set of data & analyzing/reporting on it with inference.

Great course, although, if you are not already working or have knowledge in this particular filed/topic, it is challenging.

An excellent overview of the topic material without a lot of unnecessary clutter. Well-organized and -communicated. Kudos.

The authors really present real situation and challenges that data scientists face in their daily activities. Very good.

Very easy to follow with good examples. The focus on this course was on practicality and I really appreciated that

This is a very good course but challeging. There is just too many concepts, recommendations and ideas to tackle.

Excellent course. The material is good enough that will help me where to look for information, considerations, a

A crash course on what can go wrong in real Data Science projects, and how to improve your chances of success.

I found this course to be the most enjoyable and knowledge benefiting of all the courses I've taken thus far.

Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.

This is very useful and a good primer on what to look out for when working in real life. Well done!

The instructor Brian Caffo is very knowledgeable and great presenter. Has real practical examples.

Very useful course! I really enjoyed the technical not so much the statistical part of the course.

Helpful tips for handling problems during the several life cycle stages of a Data Science project.

Great course. It delivers a fantastic framework to assess the process of successful Data Science.

Loved all the examples to explain the terms like confounding, blocking, surrogate variables etc.

It is not easy to make experience fell like "a simple" course, congratulation and thank-you .

This course was really good. Good articulation on randomization and why we do randomization.

I enjoyed taking this course and I think that it delivers on what it promises on the title.

Smartly selected topics for an executive course. Well balanced between theory and examples.

Awesome feedback on real life situations where i managed to pass through on my current job.