Aug 14, 2022
I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.
Apr 12, 2020
It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.
By Sandro P•
Jun 10, 2021
I am grateful that the internet have Coursera, a platform to spend my time learning something new. After following the second part of this course, I am excited to continue to the third part of it. Thank you Coursera!
By Sri S S D•
Oct 5, 2019
this was a very good course, to kick start the basics of various IDE's and how to use them on the cloud. This course is very helpful in providing knowledge and outlook of many new technologies that i am not aware of.
By Gilmar N•
Feb 19, 2019
I really enjoyed this course! I had a very poor knowlegde of Zepplelin for instance, now I even consider using that tool more often! Besides, learning how to better use Jupyter is a great experience worthy the time!
By Ramesh B•
Aug 15, 2020
I did learn something about Data Science tools but not thoroughly. Hope to learn further on the tools and its application. I know now that IBM Watson Studio is great to do Data Analytics. Thanks to the instructors.
By Max P•
Sep 15, 2020
Some videos are of inferior quality. And subtitles at times inconsistent with what people in video are saying. Also in R lab some insonsistencies, such as the code that should be added in the end is already added.
By Josias S•
Apr 9, 2020
Excellent content for someone who has no programming background! I will recommend to anyone to sign up cause even if you might doubt that you don't know much, by the the end of the course you will feel like a Pro!
By Muhammad U N•
Mar 14, 2019
This course introduced me to the open source tools available for data scientists. The good thing about this course is introduction to multiple tools rather than a single tool and exercises to practice on the tool.
By Anish K•
Jul 20, 2020
This course has given me basic understanding of tools used in data science and its uses. It has given me confidence that folks who don't have computer science background can also master the data analysis skills.
By Adenuga B o•
Apr 27, 2020
This track has exposed me to tools i never knew existed as a beginner, I have learnt how to use them and I am pleased to have gone through the track, my gratitude to my teachers and IBM for putting this together
By Anirudh G•
Aug 6, 2019
We get to learn the basics of all open-source data science tools and their working in IBM Watson Studio and IBM Data Science Workbench. Tools we learn here are Jupyter Notebooks, Zeppelin Notebooks, R Studio IDE
By Wei H•
Mar 10, 2021
I have learned much knowledge about data science. And there are so many tools and programming languages to deal with it. They are useful and Intelligent and i have more interest to join the data sicence world.
By KAIRAV T•
Apr 14, 2020
An amazing course providing great exposure to data science basics and tools for data science. The amazing explanation regarding the benefits of the cloud computing in the world of data science are dope as well.
By David G•
Sep 8, 2020
I enjoyed learning about these tools available for Data Science. This introduction did some to show the capabilities but would need more study and use to master them and learn more capabilities of these tools.
By Avinash B•
Aug 13, 2020
Nice Course, You can have a look at all data science tools we can use for different tasks of data science..
And how IBM Watson Studio integrates all tools at a single place and makes data scientist's life easy.
By Madhuvarshini R•
Jun 29, 2020
Its really been a Great experience of exploring the tools to be used in the journey of Data Science. I thank Coursera for offering such a phenomenal course for young Data Science aspirants to hone their skills
By Hmada A•
Jul 10, 2020
Really the team who are working on that is amazing and from down of my heart i thank you so much
i have learned so far how to use the needed tools to my project and how to link my work in github with the team
By ruhul a•
Mar 27, 2020
This seems to be a good start to know the tools in the field and have a brief introduction on each one of them, must for someone who is looking for a trend which Data Science had and has in past and present.
By Abhimanyu S•
Nov 4, 2018
Very nice course. This course gives a detailed introduction to the IBM Watson Studio along with other important tools for Data Scientists. It's a must do course for all beginners in the field of Data Science
By Suhani C•
Jun 8, 2022
A well-explained, easy to follow course. Helped me develop confidence and familiarized me with the basic working of the most popular data science tools. Highly recommend it to all beginners in the field !!!
By Anteneh A Y•
Apr 13, 2020
I have made a rock foundation after taking this class! It gives you a guide that you can expand it with other resources over the internet and books. It is an excellent guide and content is also fun as well!
By Zayani M•
Sep 10, 2018
It's easier than it looks. I was anxious when the mini lessons started using jargon that was unfamiliar to me. But when I started watching the demonstrations and doing the exercises, it all made more sense.
By SUBHAYAN D•
Jul 10, 2021
Nicely organising the course into an overall easy, digestible language as well as lots of Hands On online lab to hone requisite skills. Thanks a ton, Coursera and IBM for making learning fun and beautiful.
By Eric C Q•
Jan 18, 2022
Very important information about the main tools, both open source and paid, that help the work of the data scientist. For someone like me who is just getting into this topic, it has been very interesting.
By Gerardus H P•
Dec 21, 2022
I learn a lot about technical things in Data Science through this Course.
Perhaps updating the lesson materials and also the current updated tools would assist the participant to learn better.
By DANILO N V•
Jun 28, 2020
Excelente curso para aprender quais são as ferramentas mais utilizadas para ciência de dados. Além de fazer um Overview sobre essas ferramentas o curso vai além e dá dicas de como começar a utiliza-las.