It helps you to start, so installing software and so on. I recommend you to try applying for financial aid for this.

Slides and videos are a bit insufficient in order to finish course projects.

Apart from that, this course is awesome!

Although it does not affect the learning experience, the robot voice in the videos is a bit annoying, to be honest.

Easy introductory course. Good foundational knowledge. First time using R Studio, Rmarkdown, Github. Quite helpful.

While the material is fairly basic, it is still very useful to future courses in the series. A good place to start.

Fine for what it was but really did not need to be its own course. Could have just been tacked on to R Programming.

Great course to launch yourself into the data science world. Content is brief and nicely designed to get you ready.

Good Introductory course to dive into tools and materials for starting our journey on data analytics specialization

Me pareció un curso bastante completo. Tuve algunas dificultades con el uso de Github pero aún así pude progresar.

I expected more but this is really just basics and this is little bit bored because of the AI was the instructor..

Well structured and easy to follow. Most importantly, the onus is placed on the student to explore and self-learn.

Buen curso sobre la iniciación a la ciencia de datos, las bases y las herramientas que se emplean para este mundo.

A simple introduction. Easy to cover very quickly, however important to understand the basics before progressing.

it is a good overview but I found myself needing to go outside the source provided to learn about git for example

it introduces some very useful tools- such as version control with github, and the explanations are fairly clear.

You'll install 'R', 'R Studio'.

Will link R Studio with GitHUB

Will learn certain steps as introduction.

[That's it]

O curso é bom, mas achei a fala robotizada estranha e acho que a linguagem R está perdendo terreno para o Python.

As a beginner, it was very instructive. New concepts introduced built-up on previous ones as the course unfolded.

I think more info about git and other toolboxes would be interesting. It took 1 day to complete the whole course.

I wouldn't really call this a course, rather it's more like an introduction to the very basic tools of the trade.

Very clear introduction for those unfamiliar with R, RStudio, Git, GitHub and the basics of statistical analysis.

There is a need for more hands-on practice but, besides this, everything has been interesting and a good course.

Mucho contenido pero las explicaciones son difíciles de seguir en cuanto a instalación y manejo de los programas

Some of the dictation should be changed so that the computer says "for example" instead of "e.g."

(For example.)

The course was great. Wish there was more walk through general assignments to help you hands on with the tools.