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!!!!
Sep 16, 2020
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.
교육 기관: Farooq Y•
Mar 30, 2020
I have to admit, I was a bit skeptical before starting this course. However, the more I get into it, the more I realise why this course alone teaches you more than hours and hours of youtube videos. Props to the course creators. It is very interactive and fun.
교육 기관: Abi G•
May 06, 2019
A perfect wonderful course for beginners. The "IBM data science experience" has been changed now to "IBM Watson Studio". It will be little helpful if we get a new videos about how to operate the instances and add notebooks, as some of the GUI has been changed.
교육 기관: Thomas d A d O•
Apr 28, 2020
O curso mostra diversas ferramentas interessantes para a Ciência de Dados e possui uma ótima organização. A ferramenta de laboratório disponível e utilizada é ótima para a prática do conteúdo e até mesmo experiências na criação de notebooks e bases de dados.
교육 기관: Sumanta S•
Aug 10, 2020
This course gives you an insight into the different tools available in different platform like Microsoft, Amazon and IBM , This course talks in details about IBM Watson and different services available. like Jupyter notebook and SPSS, data scale up others.
교육 기관: Tebogo V A•
Jan 10, 2020
The course is amazing however the layout is a bit confusing especially with the platforms that were introduced on Watson studio. I feel like they need to introduce all the platform but choose one that will be used for the module. But overall it was awesome.
교육 기관: Heath W•
May 27, 2019
This is a great intro to a couple of the tools that one would need to be familiar with in order to be successful in Data Science. This area is going to require some extra work on the students' part to get familiar with the tools but is a great lead-in.
교육 기관: Stephen M•
Mar 23, 2020
I enjoyed this course. The opportunity to work with Zeppelin notebooks, R, and Watson studio was great! The only small stumbling block was the old videos on Watson Studio. But you know about that and I'm sure you are actively working on it. Thank you.
교육 기관: Carol L•
Jul 30, 2019
Este es un curso introductorio a las herramientas de analisis de datos, especialmente la de IBM. Me agradoó mucho porque se sentraron en la herramineta mas que en los lenguajes que se deberian manejar, los cuales serán abordados en los proximos cursos.
교육 기관: Morgane B•
Jul 21, 2020
Ce cours est utile pour se familiariser rapidement avec un certain nombre d'outils data utilisés dans le monde à l'heure d'aujourd'hui. Les explications sont assez claires. Pour les labs et les devoirs, il faut juste suivre les consignes à la lettre.
교육 기관: Pedro C G•
Dec 05, 2019
It is quite god to get to know the tools available
Recommendations, there are some changes to the current platforms, that information should be updated.
Question, why did we sign on to cognitive lab if the assignment will be completed in Watson Studio?
교육 기관: VENKATESAN N•
Apr 08, 2020
It was awesome learning from coursera. Contents are well created to be understood by anyone easily. It's amazing and i wish everyone who is interested in data science should take up this course. Looking forward to take up more courses in course era
교육 기관: Rodney C B•
Aug 08, 2019
Very good intro to the tools available.
The improvement to the training would be also how to do it in my own computer without connecting necessarily to an external tool and then once I'm ready use the tools IBM provide for a professional deployment.
교육 기관: James C•
Mar 23, 2019
I enjoyed this class. It gives good exposure to Jupyter and Zeppelin notebooks, as well as IBM Watson Studio. Students can spend extra time with these tools to get more depth of knowledge (but still introductory knowledge). Also includes some R.
교육 기관: Bright T O•
Oct 29, 2019
The learning has been broken down step by step. This has helped me gained deeper understanding about RStudio, Zeppelin Notebook, Jupyter, Python 3 and more. Now I feel more encouraged to continue the course till the very end. Thank you Cousera.
교육 기관: Christopher T Y E•
Jun 28, 2019
good intro to very very surface essentials of watson, zeppelin, jupyter, rstudio. though i didn't like the relatively extensive reading. video tutorials would be easier to follow cos a pic speaks a thousand words! but tqvm for this course!!!!
교육 기관: badal s•
May 21, 2020
It is an amazing course that helps us understand the basic tools required to be a Data scientist. The course was indeed insightful and I highly recommend the aspirers of data science or analytics to begin this course and have happy learning.
교육 기관: HVictor•
Sep 18, 2019
I've only had the chance to work with Jupyter notebooks as its what I had originally started learning with. This course allowed me to see other tools that are out there. Expanding my visibility into areas I had otherwise not been aware of.
교육 기관: Priscilla S•
Apr 27, 2020
Great way to learn about the open source tools for data science to dive deeper. One suggestion would be to consider updating the IBM Watson Studio section videos. It appears that significant updates have been made to the website since 2018.
교육 기관: Anette F•
Nov 04, 2018
Great introduction into Open Source Tools and into the basic workings of these tools. I love the labs, this is so hands-on and really gives the most realistic view on data science tasks and how they are done that I have come across so far.
교육 기관: Kanishk K•
Aug 11, 2020
At the beginning, this course tries to overwhelm you with a lot of tools and you'd think IBM is just advertising but later in doing a simple project in this course you'd be thankful IBM provided all the tools in one place in the cloud.
교육 기관: Neelabh S•
Mar 28, 2020
Really nice introductions to these amazing tools such as Jupyter Noteboos, Zeppelin, IBM Watson Studio and RStudio IDE. Very easy to grasp and the final project helps practice all the basics in Jupyter notebook using some Python code.
교육 기관: Jafed E G•
Jul 06, 2019
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand
교육 기관: Jason K•
May 21, 2019
Very good explanation of all tools that is available to users to enable them to work effectively. The labs also proved helpful with practicing and getting familiar in terms of navigation and getting use to the different environments.
교육 기관: Mateusz K•
Jan 01, 2019
Nice review of existing open source tools and free to use web services implementing those tools. Personally I would also enjoy some introduction to either how to set up those open source tools on a personal computer or private cloud.
교육 기관: 053 V N•
Apr 27, 2020
this course I good enough to under stand which tools are applicable in data processing in data science . thanks Coursera for providing such a course that was very funy I enjoyed my valuable time learning with Coursera and faculty