Learner Reviews & Feedback for Tools for Data Science by IBM
About the Course
This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool
kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big
Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what
each tool is used for, what programming languages they can execute, their features and limitations. This course gives plent...
Top reviews
MO
Apr 17, 2023
the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.
GC
Apr 12, 2020
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.
751 - 775 of 4,841 Reviews for Tools for Data Science
By Bate B T
•Mar 15, 2023
Very challenging course for a beginner as myself but I leanred a lot and I am glad I did.
By Mostapha H
•Sep 22, 2021
Fantastic overview that structures your thinking on the available tools for Data Science
By Fernando C A
•Sep 8, 2021
Is a good curse to know any kinds of tecnologies, frameworks and tools to work with data.
By Kenneth T
•Sep 3, 2021
It was an eye opener to what is possible by building and deploying AI and Machine models.
By Nathalia P
•Sep 5, 2020
Great curse! I really learned how to use the tools and understood how important they are.
By Gokulakannan S
•May 2, 2020
Loved the course but the course must be updated because the UI of IBM Watson has changed.
By Matt H
•Mar 22, 2020
I enjoy the thorough instructions while enabling curiosity and going further individually
By Rajib M
•May 13, 2019
Very nicely explain and brief information related to Open source tools for Data Science.
By Ferenc F P
•Feb 26, 2019
Good introductory course to different open source tools which are used by data scientist.
By Jagajith M K
•Aug 9, 2018
Beautifully explained the working of the Jupyter Notebook, RStudio, IBM Watson, Zeppelin.
By B M
•Nov 18, 2022
This was a very clear and concise course that gave me real world interactive experience.
By Riki
•Sep 18, 2020
very useful and easy to understand for someone who is not from computer or IT background
By Arun P
•Feb 14, 2020
Its a very good informative course for different types of open source data science tool.
By Shawn B K
•Jan 3, 2020
Was one of the greatest insights on the fundamental tools making Data Science a reality.
By Bahram N
•Dec 2, 2019
I've learnt many things with this course. Now I feel ready to learn Data Science deeper.
By Abdulrahman A A
•Jul 24, 2019
It was such a great course , thanks coursera ,thanks IBM and thanks great instructor .:)
By silvia c
•Sep 23, 2018
Very amazing course, full of knowledge and easy to follow instructions...one of the best
By Endra S
•Oct 28, 2024
This course is really helpful especially I am pursuing my skills in Python and R deeper
By ROSHANI V
•Sep 24, 2023
Covers key concepts like jupyter notebooks and got the chance to try hands on activity
By Little H
•Jan 28, 2022
The course forces one to not only learn the work but become extremely familiar with it.
By Catherine H M
•Apr 17, 2021
It's really good for people who are unfamiliar with many tools related to data science!
By Swatantraveer A
•Jan 10, 2020
This course gives us handful of experience on what we learn. Very beautifully designed.
By Alessandro E
•Jan 1, 2020
It gives me a general idea about of each open source tools for Data Science. Very good!
By Narendra K
•Feb 26, 2019
Course provided very good basic understanding of analytics tool including Watson Studio
By Mike B
•Dec 11, 2018
Great overview and application of some of the tools required for data science projects.