Este es un curso introductorio a las herramientas de analisis de datos, especialmente la de IBM. Me agradoó mucho porque se sentraron en la herramineta mas que en los lenguajes que se deberian manejar, los cuales serán abordados en los proximos cursos.

Ce cours est utile pour se familiariser rapidement avec un certain nombre d'outils data utilisés dans le monde à l'heure d'aujourd'hui. Les explications sont assez claires. Pour les labs et les devoirs, il faut juste suivre les consignes à la lettre.

It is quite god to get to know the tools available

Recommendations, there are some changes to the current platforms, that information should be updated.

Question, why did we sign on to cognitive lab if the assignment will be completed in Watson Studio?

It was awesome learning from coursera. Contents are well created to be understood by anyone easily. It's amazing and i wish everyone who is interested in data science should take up this course. Looking forward to take up more courses in course era

Very good intro to the tools available.

The improvement to the training would be also how to do it in my own computer without connecting necessarily to an external tool and then once I'm ready use the tools IBM provide for a professional deployment.

This was a good course to learn about the different tools in data science. They are in the process of updating it, so there may be some inconsistencies that need to be fixed. They are aware of the issues and very helpful with answering questions.

I enjoyed this class. It gives good exposure to Jupyter and Zeppelin notebooks, as well as IBM Watson Studio. Students can spend extra time with these tools to get more depth of knowledge (but still introductory knowledge). Also includes some R.

The learning has been broken down step by step. This has helped me gained deeper understanding about RStudio, Zeppelin Notebook, Jupyter, Python 3 and more. Now I feel more encouraged to continue the course till the very end. Thank you Cousera.

good intro to very very surface essentials of watson, zeppelin, jupyter, rstudio. though i didn't like the relatively extensive reading. video tutorials would be easier to follow cos a pic speaks a thousand words! but tqvm for this course!!!!

It is an amazing course that helps us understand the basic tools required to be a Data scientist. The course was indeed insightful and I highly recommend the aspirers of data science or analytics to begin this course and have happy learning.

I've only had the chance to work with Jupyter notebooks as its what I had originally started learning with. This course allowed me to see other tools that are out there. Expanding my visibility into areas I had otherwise not been aware of.

Great way to learn about the open source tools for data science to dive deeper. One suggestion would be to consider updating the IBM Watson Studio section videos. It appears that significant updates have been made to the website since 2018.

Great introduction into Open Source Tools and into the basic workings of these tools. I love the labs, this is so hands-on and really gives the most realistic view on data science tasks and how they are done that I have come across so far.

At the beginning, this course tries to overwhelm you with a lot of tools and you'd think IBM is just advertising but later in doing a simple project in this course you'd be thankful IBM provided all the tools in one place in the cloud.

Really nice introductions to these amazing tools such as Jupyter Noteboos, Zeppelin, IBM Watson Studio and RStudio IDE. Very easy to grasp and the final project helps practice all the basics in Jupyter notebook using some Python code.

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

Very good explanation of all tools that is available to users to enable them to work effectively. The labs also proved helpful with practicing and getting familiar in terms of navigation and getting use to the different environments.

Nice review of existing open source tools and free to use web services implementing those tools. Personally I would also enjoy some introduction to either how to set up those open source tools on a personal computer or private cloud.

Really it is Worthfull Course. Helpfull Training Method. Nice Videos & Specially The Labs Are Worthfull & Helpfull.

I extend my thanks and gratitude To Coursera & IBM To give me chance learning. i Say Best Wishes & Regards. u r great

Excellent course to begin introduction to the most useful tools for data science from data compilation to model building process.

The videos and demos are very understoodn and show too many information about the data science tools.

this course I good enough to under stand which tools are applicable in data processing in data science . thanks Coursera for providing such a course that was very funy I enjoyed my valuable time learning with Coursera and faculty

Fantastic course it was. I got overview of most of the open source tools for Data Science.

The Assignment at the end of the course was also interesting as it summarizes all the things we learned.

Thank you for such awesome content.

Eu adorei esse curso. Me ensinou muito mais do que apenas ferramentas de código livre para data science. Aprendi também sobre computação na núvem e ganhei vivência na IBM Cloud, além de aprender sobre como baixar dados públicos.

I enjoyed these weeks of Data Science introduction so far. Thanks for providing all the tools needed at Watson Studio and rare opportunity to get familiar with the most recent technologies and tools. That this course was about.

The course is quite technical but very educational and instructive. Though I got a bit confused when I created the Watson Studio, because the platform was different from what the instructor used. But it is an interesting course