Apr 25, 2019
To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!
Jun 30, 2019
This course is very nice to understand Python, Zappelin and R Studio basics on code and concepts, in which you will get hands on along with creating a free IBM Cloud and Watson Studio account.
교육 기관: Raghupati Y P•
Feb 22, 2020
This course is little tough to clear at Assignment Stage but if your curious and determined then it's just the matter of time and you will start loving DATA SCIENCE.
교육 기관: Pinky C•
Dec 12, 2019
Thanks for creating this course but while doing it with complete specialization according to first course it feels little hard and not connected with previous course
교육 기관: Diana J•
Jul 13, 2020
its a bit challenging for a fresher in computers but with help of faculty support that is compensated .Special thanks to Miss Mallika...I could complete the course.
교육 기관: JUDIKA R S T•
Jun 28, 2020
This course help me as beginner to understand about tools for data science such as rstudio, IBM cloud to create notebook and how to create simple code using phyton
교육 기관: Vivekanand P•
Sep 11, 2019
Nicely documented learning. Only suggestion is to update the content of lab where instructions are per the old DSX tool and are not exactly same for Watson studio.
교육 기관: Ramon M•
Apr 19, 2020
Great course! I learned about so many open source tools for data analysis. I also learned how to use these open source tools at a basic level. FOUNDATION SECURED!
교육 기관: Yasmin•
Apr 19, 2020
Clear and easy to follow course. very rich in resources and self-learning materials to sharpen your knowledge even if totally new to programming and data science
교육 기관: Mina W•
Jun 23, 2020
I enjoyed this level a lot and am astonished by the capabilities of the Watson Studio. I am really glad that I can finally find my way on these powerful tools.
교육 기관: Andrew K J•
Jul 12, 2019
I found this course very useful. I especially enjoyed practice with new markdown tools in Jupyter which were very useful for creating well formatted notebooks.
교육 기관: Ramiro B•
Sep 22, 2019
As elementary as it could be, it's a great introduction to Jupyter Notebooks indeed. But starting from this, I could see farther the reaching of Data Science.
교육 기관: Patrícia P A•
Jan 17, 2019
São muitos recursos e um mundo de ferramentas. O curso passa pela mais relevantes e propõe atividades práticas em cada uma delas. Muito bom ter este panorama.
교육 기관: K V P•
May 16, 2020
A great course especially for starting with Jupyter Notebook, Zapellin or R studio. IBM Watson Studio is definitively the most crucial aspect of this course
교육 기관: Azhan A•
Sep 05, 2019
Awesome course. Lots of Learning. These free sources adds lots of ease to your work, its like everything tool you can think of is present in a single place.
교육 기관: Onkar S•
Aug 23, 2019
Really helpful in terms of getting a knowledge about the main core technologies used in Data Science.I would recommend this course to the absolute beginner.
교육 기관: Girish B P•
Jun 26, 2019
Course content was good, but IBM watson contents need to be updated and lots of issues while creating project. hopefully it gets resolved for other students
교육 기관: Valentine D•
Apr 19, 2020
A very good course for anyone who wants an understanding of the opensource tools available for Data Science. I had a very good experience and learnt a lot.
교육 기관: jorge•
Apr 06, 2020
It was helpfull to know which tools you can use, a small presentation of all of them. After, you have to find new tutorial to learn about them more deeply
교육 기관: Ekwoge E B•
Jun 10, 2019
This course help open a very broad area of tools to use for Data Science I had no idea even existed. I am thrilled and motivated to work on this even more
교육 기관: Maria N L•
May 16, 2019
Excellent introduction to basic open source tools used in data science; however, the content needs updating since the UI of IBM Watson Studio has changed.
교육 기관: Raissa B T•
Mar 03, 2020
I liked very much the content. I know is an easy course, but I'd like to see more of what can be done, the languages etc. Thanks IBM for all this effort!
교육 기관: Muhamma S•
Feb 21, 2020
This is very useful course because I am only know the tool like juypter notebook , but course tells me about other tools like zepline , R studio , Amzing
교육 기관: Jorge A C C•
Nov 30, 2019
Muy recomendable, me encanto la oportunidad de poder hacer uso del Jupyter, Zeppelin, R en los entornos como el Skill Network Labs y el IBM Watson Studio
교육 기관: Mayank A•
Jan 24, 2019
This course of Open source tools for data science was very helpful in knowing about the tools and technologies which are used in data science techniques.
교육 기관: Avoaja U c•
Dec 13, 2018
Very informative course, It offers a gentle introduction to machine learning. And IBM has provided tools worth thousands of dollars for free to learners.