Buckle up!

good !

good

good

good

GOOD

good

goog

goo

wow

hi

Potentially this is a great course, but it falls short on a number of points.

* Content is mixed and/or duplicated

* Lab exercises are mostly just demo's. The video's 'explain' no more than you can read in the notebooks.

* The videos show a 'talking head' that is clearly reading the text from a screen. Not very engaging.

* The explanations are not very clear.

It is possible to learn from this course, but then you will have to work on the demo's yourself (deleting the answers first) and read more clear explanations on the topics from other sources.

me parece que el instructor toca temas muy profundos con demasiada velocidad , no profundiza lo suficiente, yo por ejemplo debi invertir muchas horas leyendo complementos en wikipedia , lo que no es ideal pues son topicos muy densos y con mucho contenido matematico. la verdad considero que con este curso apenas logro entender muy superficialmente los conceptos de fondo.

I was disappointed by this course. The initial portions that focused on Exploratory Data Analysis were ok, but I thought more tools and techniques would be explored. As we progressed into hypothesis testing, the content got progressively weaker. It seemed like an attempt to cover some basic material but without the depth to be truly useful.

The course material should be provided to allow better absorption of the large amount of information presented. some of the topics needs to be discussed further with more examples and concept declaration especially the hypothesis testing section.

The videos seem to be outdated. The material is honestly not that engaging. For a beginners course this might be good. Different people have different tastes. The content itself is pretty good I'd say.

Content scope is very interesting but many times I hoped the course would go into more detail. Lectures and labs tend to stay rather superficial so it's up you whether you want to dig a little deeper.

Non-working labs, a few incorrect sentences, some things are not explained well enough (At least I feel so), at least one duplicated video - it's not bad, but sloppy.

Too much focus on "feature engineering", which is high-school level math on the columns. Better if more focus on the statistical concepts and theoretical backgroud.

I liked the course content but I would like a more interactive approach that show us how to do hypothesis testing in python. The teacher just reads the courses.

I think, instructor went too fast in many cases. Some topics needs to be restructured with more real life examples and interpretations.

Exam questions are phrased very poorly in a lot of cases and often don't do a good job of assessing what was taught.

Quizzes are too easy and pretty insipid. The course isn't terrible, but it's not something to spend money on.

The instructor was not explanatory enough. I suggest that it should be more of teaching than lecturing.

I do like the course in generall. But some slides, are very text heavy, which i do not prefer.