It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
By Abrantes A S F•
The really great material were in Week 3. The first 2 weeks are too basic for anyone with at least some IT background.
By Mariela M•
El curso me parece excelente, pero tuve problemas con la plataforma, me borró todo lo que hice e incluso había pagado.
By Babangida I B•
The content of the course is quite enriching. Besides the robotic voice, I enjoy every bit of the course interaction.
By Kevin D•
A decent survey of the material, which hopefully follows. A good but almost too easy class for such a deep subject.
By Parth S•
Course content is good. I was able to get the basic understanding of git and github and also understood how it works.
By Lorenzo F•
It helps you to start, so installing software and so on. I recommend you to try applying for financial aid for this.
By Tran H H T•
Slides and videos are a bit insufficient in order to finish course projects.
Apart from that, this course is awesome!
By Jesus V M•
Although it does not affect the learning experience, the robot voice in the videos is a bit annoying, to be honest.
By Mike W•
Easy introductory course. Good foundational knowledge. First time using R Studio, Rmarkdown, Github. Quite helpful.
By Ian R•
While the material is fairly basic, it is still very useful to future courses in the series. A good place to start.
By Elijah L•
Fine for what it was but really did not need to be its own course. Could have just been tacked on to R Programming.
By Roma R•
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
By Victoria P•
Me pareció un curso bastante completo. Tuve algunas dificultades con el uso de Github pero aún así pude progresar.
By KAVIARASAN R•
I expected more but this is really just basics and this is little bit bored because of the AI was the instructor..
By Sushmit R•
Well structured and easy to follow. Most importantly, the onus is placed on the student to explore and self-learn.
By Cristian B G•
Buen curso sobre la iniciación a la ciencia de datos, las bases y las herramientas que se emplean para este mundo.
By Hannah G•
A simple introduction. Easy to cover very quickly, however important to understand the basics before progressing.
By Ming T•
it introduces some very useful tools- such as version control with github, and the explanations are fairly clear.
By Dhiraj S•
You'll install 'R', 'R Studio'.
Will link R Studio with GitHUB
Will learn certain steps as introduction.
By Daniel G•
O curso é bom, mas achei a fala robotizada estranha e acho que a linguagem R está perdendo terreno para o Python.
By NWONGBOUWOH M C•
As a beginner, it was very instructive. New concepts introduced built-up on previous ones as the course unfolded.
By Chandra S K•
I think more info about git and other toolboxes would be interesting. It took 1 day to complete the whole course.
By Steven C•
I wouldn't really call this a course, rather it's more like an introduction to the very basic tools of the trade.
By Iseult A C•
Very clear introduction for those unfamiliar with R, RStudio, Git, GitHub and the basics of statistical analysis.