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!!!!
Feb 01, 2019
All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.
por Rudolph M N•
May 16, 2019
I use a chromebook and these tools were very helpfull for someone who is new to the discipline and cannot reliably boot a python terminal or R studio on his primary machine.
por Devvrat M•
Dec 02, 2019
Great course for understanding the essentials tools required to implement Data Science. Juypter Notebook and Zappelin Notebooks are the most preferred Notebooks to work on.
Aug 27, 2019
Brief introduction to manny useful online tools for data science. Although it seems to be easy to accomplish this course, it really helps me learn more about data science.
por Tassio C d A G•
Feb 24, 2019
This course is primordial to meet the tools applied to the slim courses. Explicit concepts and ease of access in the course. Course clear, structured and of great value.
por Zaheer R•
Oct 14, 2019
Makes you familiar with the software tools needed to write code in Data Science. It is not an programming class but rather a great tutorial around each piece software.
por Nikhil K•
Jan 26, 2019
Thanks a lot to Coursera & mentors. I am really very happy for such a wonderful teaching pattern which is not only beginner friendly but interesting & interactive too.
por Glener D M•
Jan 22, 2019
I learned how to use Jupyter Notebook in the IBM Data Science Experience and practically with its proficiency in preparing a notepad along with the Markdown recording.
por Andrew B•
Jan 06, 2019
Useful tools for the beginning data scientist. However I found that all courses listed through this specialization are available for free through Cognitive Class Labs.
por Gopala R•
Oct 03, 2018
Very nice introduction to online tools with simple hands on training. Labs and quizzes are build the confidence of the student whether novice or expert in other areas.
por GREGORY M•
Mar 25, 2020
Loved the practical exercises and information. Hands on in the notebooks in a few different environment gave me confidence to try out other things on my own. Thanks.
por 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.
por 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
por 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.
por 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.
por 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.
por 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.
por 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.
por 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.
por 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
por 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
por 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.
por 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!
por 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
por 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