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!!!!
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.
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 SUBHAYAN D•
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.
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.
por Ahasanul H•
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 Juan C S G•
Great course! The course gives you a good overview about the tools and technologies of data science. The course also gives the opportunity to practice in the environments of the main tools.
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 Evgeny 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
por Harsh N M•
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.
por Todd J•
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.
por Daniel L•
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.
por Samuel B•
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.
por Joshy J•
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.
por Thông T•
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.