Отзывы учащихся о курсе Набор инструментальных средств для специалистов по обработке данных от партнера Университет Джонса Хопкинса

Describe aspectos básicos para la utilización de herramientas, tipo de preguntas y datos que debe manejar un científico de datos; es un buen abre bocas para el resto de la especialización.

In generall it was a good course, but sometimes the instructions weren't sufficiently clear to me, and I had to figure things on my own which didn't always resulted in a positive outcome.

Good introduction, although the teacher spoke in a very low voice (it was sometimes hard/impossible to catch what he said) and some of the videos could have been a little more exhaustive.

A nice slow intro to Coursera, but not a ton of actual content. Good to get your feet wet, but skippable if you are familiar with the basics of the toolbox or taking courses on Coursera.

It was a good introduction to RStudio and data science, however, the videos seems a bit fast for me to get every task done in par. The reading section after the videos helped me greatly.

Very simple and easy-going. A good instruction to the very beginner of the data science and programming. If some topics could be discussed in a bit more details, I would more appreciate.

The Data Scientist's Toolbox is a good introduction into Data Science specialization and gives a glimpse of what can be expected from the other modules. Looking forward to other modules.

It is unfortunate that I was only able to audit this course and not take it for free without the Coursera certificate, as it is currently not possible for me to pay for the whole course.

Good stuff, though there are some changes I had to figure out as Github and other things with my Mac have slightly changed. (Though being a data scientist is about figuring things out)

Good basic and well structured. What could have been better is the assignment and evaluation criteria. Possibly having result based evaluation would be better. Overall enjoyed learning.

greet efforts to learn us about Data Scientist's Toolbox, thank you very much

just one comment, it's about the instructor talking speed .. it was too fast and was not easy to keep focus.

A gentle start to the 10-course data science specialization. Would not recommend taking the course just by itself. If you're planning on the specialization, it's a great way to easy in.

This is a good introduction the tools, however I had some issues with Git Bash and Git Hub, which was nor really answered in the lectures, could update the lectures with a live example

The course lacks the human part, since it is only a robotic voice, with no emotion and excitement.

But apart from that the course content was good and easy to follow for the most part.

The final assignment was really helpful in implementing what we learnt through the course. Some more details on the integration between Remote & Local folders would have been helpful.

Havegreatexpectationfortherestofthecurriculum.Visual presentations could be substantially improved, including the audio volume. But in general, great start down the Data Science path!

This is just a basic overview into the world of data science. I would recommend only to the students just starting out in this field. Still, is a good course starting out. Have fun !!

Thanks to Johns Hopkins University for this helpfull course. It helped me a lot to understand the fondamentals of what data science is and the bueatiful tools used by data scientists.

All excellent and a very good introduction. I wish I was able to get my quiz graded without having to pay just to see if I was learning. For the rest, I recommended for a great intro.

This course describes the overview and useful tools for doing data science with less details. The material only prepare you for taking the other courses in the specialization track.

Overall the course is very good and well paced, but I believe it could be a bit more clear in the git and github lessons on how to push from your local repository to your remote one

Not bad to start off with! It teaches installation of all the required things for starting off R (e.g. RStudio, GitHub), and gives a basic understanding of experimental design too.

Al inscribirme en la especialización figura el español como uno de los idiomas en los que se dicta, pero no estaba disponible para este curso, por eso lo clasifico con 4 estrellas.

Great course. But sometimes it's a little bit difficult to follow, because the instructor just listed those Git commands without actually demonstrating how to use Git step by step.

I was already familiar with the stuff taught for the most part. I think they should do more tutorials on how to install and do things though for those not experiecned enough in it.