Nice overview of the conceptual ideas of Data Science and presentation of some practical tools needed to solve problems in the area.

Great Insight to data science. More Professional less theoretical. Little more in-depth in R would make course perfect for beginner.

very quick course just to get your workspace set up; if you are already familiar with github or rstudio, no need to check the videos

On our way to the Data Science certification. Nicely structured format and presentation of lectures, tasks, supplementary material.

Things got a bit hazy when it came to adding the .md file to our data science repo on GitHub. Other than that I enjoyed the course.

it is quite informative but does have outdated sections. For example Git does not allow username / password authentication anymore

'How to use github' explaination was really good. I really like the idea of giving importance to questions rather than to the data.

This is generally speaking a good course. The only problem is that the instructions are sometimes not detailed enough for beginners

A great starting. Perfect for providing a foundation. However, instead of slideshow, a few real-time videos would have been better.

This course has given me a basic knowledge of different tools and statistical techniques that data scientist use to play with data.

An essential introduction to the rest of the specialization program, but not too much information included in the course by itself.

A great introduction course to the world of data science, Github and R programming. Easy for a beginner like myself to understand.

This was a great course to get set-up and an initial introduction to all the important programs and software that interact with R.

The introduction to Git and GitHub could have been a bit less theoretical and more practical. Overall, a good introductory course.

I hope the content of this course would cover more materials during lecture. But overall, I am very happy with this course so far.

Ideal course to get you started for a data science specialisation. Informs about and helps you install all the required softwares.

Overall, I liked being exposed to Github and GitBash. I felt this course gave me a broad overview of what to expect in the future!

Sometimes its hard to read all the learning materials. The video is like a Robot is taking the class, Sometimes get little bored.

Course was very good and informative but the speed of voice in videos was very fast. In the start it was difficult to understand.

Even though the content was good, but this is more like a 2 week course. I finished it in 4 days spending on average 1 hour daily

If you are completely new to Data Science, then this is very good course to start with. All the basics are explained very nicely.

Me pareció un buen curso introductorio donde conoces herramientas que se supone te ayudaran en tu carera como científico de datos

More number of hours are given than required. Good learning for non IT field people. For people with IT background, its too easy.

A little basic, but necessary to get everything you need set up for the next classes in the series. And it does that well enough.

Good course and it's great that Coursera has designed this course separately.

Enjoying the journey of data science with Coursera.