very good structured and easy explained. most important: you can practice the basics of a (juoiter,zeppelin and RStudio IDE) lab while the instructor is giving an overview of the environment

Great course to gain knowledge from.One must spend a good amount of time in order to learn the basic tools of data science and thus won't find it difficult to work in data science in future.

Lots of great information. Seems to be an issue with accessing Watson and completing the last assignment. Instructors allow you to use a quick and easy fix by submitting it through GitHub!

Another Great class. Really introduces you to new tools that out there, not just for Data Scientist to use, but for anyone that has the use for R or Python coding etc. Loved the course.

It contains very useful information that can be learned on the way to be a giver. I learned many tools from creating a repository in git hub to writing a python topic in jupyter notebook.

Impressed by those notebooks or development environment, and its availability on Web; very practical to document the method used in a data study, integrating programming with documenting.

Passo a agradecer a todos os professores do Instituto da Educação pelos conhecimentos que me transmitiram e que foram importantes no desenrolar deste trabalho. Parabéns a IBM e Coursera.

Good Course. Help you understand the most used open-source tools for Data Science. It also introduces IBM Watson Studio which is the best cloud-based collaborative tool for Data science.

This course provide a complete knowledge of Data Science tools with more clear and precise. The module cover all the related tools and methods required to work in Data Science Industry.

Thank this course for letting me know there are online tools for data science, which help collaboration anytime and anywhere. It is trusted because it is from IBM, a well-known company.

Brief introduction to what cloud platforms available to execute coding in different kernels. You also get an idea on how you will be analyzing data with what sort of tools and outcomes.

Pretty nice introduction. A short course, don't expect anything too technical, but i think in a world of heavy and long MOOCs, its not a bad thing to start off with a lightweight one :)

Great overview which included GitHub and other tools. The final module was much more than expected, where it updated with very useful tools on IBM Watson in relation to Data Science.

Introduces us to some really nice tools and also IBM Watson cloud service which has a lot of resources and IBM doing a service to the community by providing you many of those for free.

A very informative course which was planned and executed nicely. It included sufficient hands-on lab practice. I am looking forward to use these tools extensively as a Data Scientist.

Great Course and Great Tools assessment for further advancement into data science. I believe that tools covered were great as well as good teaching. More so to the point and practical

Very detailed course with great videos, examples, study material and hands on lab. Also I love the concept of peer graded assignment, gives me opportunity to see how others are doing.

A very good introduction to the various data science tools. Very helpful and easy to understand even for non coders. The exercises mentioned make you comfortable with the environment.

This was my first time to get to know open-source data science tools and it gave me a general view of the same. of course, self-study is a must to get more familiar with these tools.

The course is too good.After attending the course, I am having great understanding on jupyter notebook.Also, able to make a small assignment on jupyter notebook on IBM WATSON STUDIO.

This course is very comprehensive in terms of giving proper view about data science field. Thanks to this course now I do understand which things are related to corresponding field.

Excelente curso, dá uma visão bem geral sobre a análise de dados e permite que escolha dentre tantos programas apresentados que você se aprimore futuramente no que mais lhe apetecer

I thoroughly enjoyed taking this class. The seamless platform with video and hands-on exercises created an engaging course. Also, the peer review process was extremely rewarding.

This Course is nice for overview of open tools including free and premium coding environment that support user so much in studying, practicing and developing code for data science.

very useful

thank you