This course is the first step to dive into the data science course. One finds a lot of videos about how to create and use the tools to carry out the specialization. Great job!

Es una Especializacion muy importante y el manejo pedagogico y metodologico Que realizan los profesores,ayuda mucho a los que estamos iniciando en este campo del conocimiento

Great first course of the whole specialization! This basic one is very important for later study because "Grinding a chopper will not hold up the work of cutting firewood" : )

Great overview to all the skills and applications we will be using later in the Data Science Specialization. It is brief but was great to get an overview of R, github, etc ...

Thank you for all the knowledge you have imparted to me, very good methodology, all the super great material, I hope to continue training in this beautiful world of BIG DATA.

I found the course really useful. It helped me to develop a basic understanding of Data Science. I'm really looking forward to continue with the remaining courses. Thank you.

Nice introduction to many basic tools and concepts that are substantial to the work of a data scientist. Also, a good start for a person encountering MOOC for the first time.

Thorough grounding in the basics. Even a novice like me could grapple with it, even though it did not come naturally, all the information was accessible for tasks. Thank you.

Good beginners data Science course. I am new to data science and learned a lot from the course. I will like to learn more in this field especially the data analysis aspects

In general a good course to introduce in Data Science world, but when the course introduce in R packages some things like open R Studio like administrator are not specified.

The Data Scientist's Toolbox is a quick and thorough introduction to the software needed for R programming and configuring it properly for the next class in the certificate.

It's quite challenging learning this course being a biotechnologist. With coursera, the concepts and skills which I learned can be directly applied to my field of research.

This is an introductory course. This helps those who are starting from the absolute basis level, and the course does a good job with regard to getting the feel of the tools.

Great Introductory course on Data Science. Would have been better if it covered a little more. But as the first course in the specialization, it covers all the basic fields.

Fantastic introduction to a topic I always found daunting. Thanks to everyone involved for preparing such an informative and soft approach to a hard topic like data science.

Very simplistic and could be covered in a handout as part of another course. Unfortunate that this is a requirement of the specialization, otherwise I would have skipped it.

Great introduction to data science and running us through the setup for R, R Studio, and, Github. I didn't mind the robot voice, I mean, it's kind of fitting. *robot dance*

I was always confused with Git/GitHub and other courses don't introduce it well (just expect you to know) so I'm so glad this course introduced version control thoroughly!!

Fantastic course to get you started with you Data Science career. A course that dives well in to the fundamental needs in order to learn and perform Data Science projects!!

Very good course, it gives a good start at data science and gives a good explanation about version control and linking Git and Github with RStudio, which is very important.

A pretty good introductory course to Data Science, delivers the good tools to know the environment, the main theory and some useful guide to how resolver incoming problems.

Interactive, informative, valuable course for beginners who wants to make career in data science and analysis. Learned data analysis tools and introduction on data science.

Very nice course to present a panorama of what is data science as well as the main tools used. I strongly recommend buy the "Elements of Data analytics style" From J. Leek.

This was a great experience for me, I would personally recommend every data science aspirant to take this course before starting with programming in R or Python language.

Give a brief and concise introduction to many of the tools a data scientists should be familiar with. It serves as a good starting point for someone getting into the field.