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 Frances B•
the course is great for people getting into the field of data science and have no clue where to start with resources for the filed. It helps build confidence and security knowing there are resources at our finger tips, for free, and with guidance from the the tutorial videos provided in this course. great stuff.
por Atal S S M•
Very informative on the open source tools available. It does get tricky sometimes to understand the instructions of the notebooks as the videos display an older version and the current website would have the updated version. IBM Cloud is a huge advantage to work on Python,R and Scala with spark kernels for free.
por Mike M•
Very beneficial, albeit somewhat painful , in getting the assignment done since the videos (at the time of this review) are not exactly correlated with current software (Watson v. Data Experience).
But hey, we are to be problem solvers, so that was just one minor hurdle to overcome and learn from in the process!
This course was intensive on tools used in Data Science. It was an overwhelming experience for I learnt to use resources on Github and understood how Jupyter notebooks are important in writing long codes. All in all , a great experience and would like to complete the full IBM data science specialization soon.
por Travis T•
It's a good overview of all the tools that can be used for data science. If you're following along with the IBM course, it gives you a good idea of what you could be using for your capstone class. They do not detail much of tools rather introduce them to you. It'd be up to you to delve deeper if you'd like.
por Nyaniso N•
A very gentle and slightly challenging introduction to the some of the best tools in the Data Science fraternity. Also, the added introduction to the IBM Watson Clouds tools was seriously interesting. Who knew you could just drag and drop files of refined data and you are on your way to "Model Building"?
por Luis G•
Astonishing course for learning the basics of the tools used for data science, open source tools and comercial tools, at the beginning it might be a bit overwhelming because of lots of terms that are unknown by most starters like me, but as the course goes on and if you are commited, it's a piece of cake
por CHIN-HUNG, Y•
Nice in introducing approaches to data science; however, some parts appears unnecessary to be mentioned right in the beginning. For example: Appache Zeeplin and Zeppling for Scala are more of courses in either intermediate or advanced level. Perhaps postponing it till database would be a better option.
por Elmer B E•
This is a very comprehensive presentation on the available tools for Data Science both Open Sources and that of IBM proprietary tools. As presented, you as a Data Scientist has the sole option which of these tools are fit for your data science studies. Very enlightening and full of thoughts to ponder.
por Isha C•
Good introduction to free and paid programs available for practicing and understanding data science! It shows detailed UI walkthroughs and tutorials, and gets you started setting up accounts that you will most likely use many years while learning data science and programming (R, Scala, Python, etc).
por Courtney B•
Love it! It's such a gentle introduction to the tools of the trade as well as the languages we need to learn in order to use them. The labwork is my favorite part. The only way you can learn anything interactive like this is by diving in and trying things out, and now all I want to do is learn MORE.
por Philipp R•
Great introduction to various tools offered by IBM. The course does not go into depths but rather shows what is out there. To really get the most out of this course, one needs to be motivated to explore the tools on one's own time. But that is a given in this field, I'd say. Therefore, five stars
por Mahesh M•
This gave me the brief introduction of Data science with IBM tools, the essential third party tools for Data scientists. Introductory knowledge on almost all data science related techniques is appreciable. One can enhance it completely by going through future courses in the same specialization.
por Sagarika S•
The course is amazing for beginners as well as for professionals for building the concepts. I am really thankful to all the instructors for delivering the concepts very clearly. I recommend this course to everyone who wants to learn the different tools to build their foundation in Data Science.
por Abrar M I•
This course did a great job of summarizing the coding and non-coding tools required for data science as well as highlighting the different levels of interaction with data and modeling and how collaboration is achieved as well as learning in the field. This was awesome, would highly recommend!
por Fiorella M•
This course is excellent to understand as an introduction the principal tools that are usted in the data science field. With this knowledge I have a more clear view on the tools I would like to investigate. I recommend this course for beginners with no clue of the tools usted in data science.
por Aman K C•
This was a really intuitive course with hands on experience on Jupyter Notebooks, Rstudio, Python 3.
It turns out to be the more I'll practice the more I'll learn and this course really turned out to be helpful as a stepping stone towards it. Thanks a lot for creating such an amazing course.
por Danesh T•
In the modern digital world transformation of world and the data science is very useful in our daily life activities and increases the quality of life and now a days the information is the wealth and it is used in the future career and so many applications of data science is used.
por Maksim M•
This course gives good practical understanding of the open source tools for data science, such as Jupyter Notebooks, Zeppelin Notebook, RStudio IDE, IBM Watson Studio. Now I know what they are and how to use them, although had absolutely zero idea about the matter before taking the course.
por Monica A•
Really good course. It listed so many important commercial and open source tools and provided material to explore and do hands-on on the important ones like GitHub, Jupyter Notebook on Watson Studio. It also showcased the entire process of how modeling works in data science.Thanks alot !
por Benson N K•
An extremely nice course, easy to understand and easy to follow video directions shared by the instructors. Ave learnt so many open source tools that I can use in various data models and how identify the best tool to use depending on dynamics of the data and tasks ahead. Kudos IBM Team
por Gilberto F•
Once again is a pleasure for my be part of this Awesome courses in this brilliant website who help people to improve their skills, in my case with 2 financial aid approved I have no words to describe how I feel right now. Many thanks to all people who make this possible.
por Andrea C•
I thought this was very informative and relevant. What I didn't like was the lack of integrity that some of the people using the course have. They clearly were giving bad marks on assignments for no reason. Working in Data Science requires integrity so if you don't have it, get lost.
por GK M•
Excellent course for whoever wants to start exploring Data science as a career options or just use it to solve real life problems using large and complex data. It encourages the users to go beyond the content and explore the emerging world of technology which supports data science.
por Jai K B•
I am glad to complete this level.
Useful concepts and theories for learning RStudio and Jupyter Notebook/Jupyter Lab and Python and IBM Watson. I learned a lot from this course.
Thank you so much IBM and Coursera for select me and trust on abilities.
Jai Kumar Baakeriya