Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.
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!!!!
por Muhammad U N•
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.
por Anish K•
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.
por Adenuga B o•
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
por Anirudh G•
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
por KAIRAV T•
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.
por David G•
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.
por Avinash B•
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.
por Madhuvarshini R•
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
por Ahmad A•
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
por Ruhul A•
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.
por Abhimanyu S•
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
por Anteneh A Y•
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!
por Zayani M•
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.
por DANILO N V•
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.
por RISHI K•
ONE CAN ACQUIRE BEAUTIFUL KNOWLEDGE TO THE TOOLS USED BY DATA SCIENCE COMMUNITY ALONG WITH APPLING THEIR SKILLS ON PRACTICAL ASSIGNMENTS AND PROJECTS ON THE USEFUL PLATFORMS ,
ITS WAS A NICE COURSE .
por Giulio C•
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.
por LALIT K•
This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.
Good to overview web-based data analyzing tools like Jupyter notebook, Zeppelin notebook and R studio IDE by getting access to virtual environments like Skills Network Labs and IBM Watson studio.
Provided an encompassing introduction to the variety of Open Source and Commercial tools available to conduct Data Science, and great interactive labs to get started working with those tools!
por Juan M C C S•
Es un buen curso para esclarecer cuales son las herramientas que se deben dominar en la profesión. Funciona bien como introducción practica a calentar motores para ver que es lo que se viene.
por shiva k P•
The videos in this course are outdated and the content in videos doesn't match with the reality because the videos are old and Watson studio got updated. Course content must be updated ASAP.
por Evgeniy V•
Useful, quite a bit of practical. I've learned a lot of new tools and possibilities to use them for free; although based on IBM infrastructure, they're open source and may be used everywhere.
por Pablo M•
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.
por SUJIT K•
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.
por Orestis P•
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