IBM による Tools for Data Science の受講者のレビューおよびフィードバック

Does a good job of showing areas to obtain access to use Python, R, and Scala. You can however tell they're pushing IBM products when in reality there are many other options such as Anaconda.

I could learn how one can use IBM Watson in the entire Life cycle of Data Science and automate every mundane task which ultimately speeds up the Data Science workflow to a significant level.

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.

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.

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.

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 :)

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.

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.

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.

Good for pointing you towards free open source tools to practice developing in for both Python and R. Also has a nice introduction of how to use some basic feature of these tools.

This course creates a friendly environment to learn Jupiter notebook, Zeppelin Notebooks, RStudio and IBM Watson Studio step by step.

Course materials and assignments are great!!

I was really excited to dealing with IBM Watson Studio through the Internet. Also, given IBM Badge made me feel very worthwhile about learning. Thanks for this practical lecture.

The information is clear and allowed me to complete all the activities, just be aware that the IBM tool is not upgraded in the course so research and web navigation is mandatory.

Once I enrolled in this course I had no idea about Data Science tools. This course is the best for who don't know anything in Data Science tools and very beginners in this area.

An invaluable hands-on provision. I feel as though I am adequately hatted with the basic skills and equipped with the efficient tools for my next steps in pursuing Data Science.