2020년 4월 12일
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.
2019년 4월 24일
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!!!!
교육 기관: Philipp R•
2019년 4월 21일
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
교육 기관: Mahesh M•
2021년 1월 24일
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.
교육 기관: Sagarika S•
2020년 6월 9일
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.
교육 기관: Abrar M I•
2020년 12월 17일
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!
교육 기관: Fiorella M•
2020년 7월 16일
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.
교육 기관: Aman C•
2019년 10월 1일
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.
교육 기관: Danesh T•
2020년 4월 23일
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.
교육 기관: Maksim M•
2019년 3월 7일
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.
교육 기관: çağdaş y•
2022년 2월 20일
Great course to learn data science tools. Try to note everything down and great instructor. But I sometimes lost my focus, too much information about tools that I could not fit in my knowledge because I have no previous experince.
Helpful instructors also online for any kind of quesitonç
교육 기관: Monica A•
2020년 7월 19일
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 !
교육 기관: Benson N K•
2019년 7월 12일
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
교육 기관: Gilberto F•
2018년 12월 2일
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.
교육 기관: Andrea C•
2020년 4월 18일
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.
교육 기관: GK M•
2021년 4월 15일
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.
교육 기관: Jai K B•
2021년 7월 28일
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
교육 기관: Zakaria A•
2019년 5월 26일
The course is engaging and interesting. It is really good and would recommend to anyone who wants to take a look into data science and start working on it. The ungraded assignments may be a bit confusing but you will manage to get through. Overall it was a fairly good experience.
교육 기관: Shruthi K•
2020년 4월 24일
This course was very helpful. This course taught me what are the open-source tools used in Data Science and how to use them. Happy to learn new things. Thankyou Coursera and IBM. And also a big thanks to the instructors who made this course. Looking forward to learn more things.
교육 기관: Dragoljub R•
2020년 3월 25일
I've been able to learn basics in data science software. It was a nice experience and an introduction to something I am looking for to learn. I would recommend to all without prior experience, though those who have already worked with those tools this course won't mean too much.
교육 기관: Samuel D S•
2020년 3월 12일
As I have an old laptop with 3GB RAM, I had a lot of trouble running my IBM Watson. Only when I changed to a laptop with a 4GB RAM, I was able to run my IBM Watson. But I had a difficult time trying to figure out how to solve this problem. But overall it was a very good course.
교육 기관: ASHISH K•
2020년 3월 12일
I think the practice with the ed courses really helped me . And i would like to add the online Jupiter book is really awesome which saves us downloading and installing other software.
The course instructor approach was really commendable and the concept delivery was really good.
교육 기관: Ruiming Y•
2021년 3월 31일
Fantastic course! I have been hoping to learn how to use Jupiter notebook systemically for a long time, and this course provides a best chance to do that. I also learn how to use markdown and I can say I am even more specialized than some of my friends who are programmers lol!
교육 기관: Jake Z•
2020년 1월 21일
Great course! I was already aware of Jupyter Notebooks but it was great seeing the other tools available along with their pros and cons. Learning about the IBM Watson capabilities is also incredibly useful for at home projects where my pc only has so much processing power.
교육 기관: Nadeesha J S•
2019년 3월 18일
The other courses I took are too easy sofar for me. One course is like one lecture to me in college level. I am not sure how this is gong to help. I would expect the courses to get harder. However. I learnt a lot from this course as it asks us to do a lot of extra reading.
교육 기관: Moray B•
2019년 4월 17일
Great course. I knew some python, SQL, Jupyter before but all very point knowledge. The first course provided some great data science context and I now understand at a high level Zeppelin and RSudio, and how to work in both a Cloud production environment with Watson Lab.
교육 기관: Ashfaaq I•
2020년 5월 7일
I learnt a lot in this course. I was able to start a new journey with open source tools for data science and the videos in the course were clear and easy to understand. I would recommend this course for any future data scientist to learn his/her tools for data science.