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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,168 ratings

About the Course

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. 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 plenty of hands-on experience in order to develop skills for working with these Data Science Tools. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

ED

Aug 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

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.

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2476 - 2500 of 4,596 Reviews for Tools for Data Science

By Tobías O

Jul 5, 2022

I think its has too much information, i would prefer a good introduction and then center on only a few tools. Also, i think it would be beter if the course leans towards learning and understanding than besides memorising. On the other hand, the labs were great, i really enjoy them.

By Spyros A

Nov 15, 2018

While this course is a very good introduction and generates and overview for the tools i would like to have some more fundamental information about for example what is spark and where is used (examples of real life scenarios etc etc.)

Maybe it will be covered in the next courses.

By Daria S

Oct 2, 2018

I fully satisfied this course, but I had a problem with IBM Cloud which closed me an access to my project, because I had to stop each session and, as it turned out, it was explained at the IBM website (not at the course instructions). In this case, I had to miss a whole week.

By Belvin S A

Jan 29, 2021

not recommended for a fresh data science, because many thing that's really odd for a new on this focus course, but i still recommended it because it still usefull. we can learn the jupyter notebook's work and github too, and i think it's really a good point in this course.

By Anthony M R

Oct 21, 2018

There need to be more standardization with naming via IBM Watson (Data Science Experience vs Watson Studio...videos should reflect the current version). It is also unclear how after finishing the labs, whether or not the completion is then noted within the course itself.

By Marjorie V

Apr 21, 2020

There is not a lot of time spent discussing the why for these tools, just an introduction and some code we could copy and paste. As this is a new language for many I would like to know more about most utilized tools and an intro to what codes etc are most foundational.

By Allan M

Oct 4, 2021

Very insightful course, the only downfall was that for some of the instructions for the GitHub usage was extremely confusing. This could be due to versioning or the interface used. I referred to GitHub for a more informative instructional information to configure SSH.

By Sandra L

Jan 25, 2021

This course is very well constructed and very informative. A very good course that provides systematic information to beginners. Some of the contents and explanations are a little dry, the instructors can consider making it more fun and easy to understand for learners.

By Antas J

Sep 4, 2019

Since there was no one to one interaction for major part with any instructor, it got little dizzy to understand the working of the tools but however, I completed the course and learned to use these tools, as it comes out, practice is the key.

Thanks Coursera for that.

By Yolanda J

Oct 10, 2019

Good course, but some of the videos need to be updated as they don't follow the current layout of IBM Watson. The one upside to that is it makes the student have to hunt for the links and having to do that makes the student retain the locations of links and options.

By Aman R K

Dec 31, 2019

IBM Watson studio has been updated and the tutorials are not helpful enough to get started. It took me an hour to figure out how to use notebooks in Watson studio. It would be more helpful, if tutorials are also updated according to the updated IBM Watson studio.

By Amy P

Apr 25, 2019

A good overview of popular data science tools. In a couple of the videos, I would have liked there to be more original content, rather than just reading the text off of the websites. Still, the course gave me a quick idea of what is out there. Still lots to learn.

By Roman S

Apr 3, 2020

A lot of the information and navigation was outdated. IBM Watson Studio does not really return errors, so in case what you see deviates from the course material and you can't progress, there's no help specifically on Coursera. Otherwise the course is quite good.

By Hemanth S

Apr 13, 2020

The Zeppelin Notebook part was not impressive, could be cause of the instructor or either the notebook is built so. I have to practice Zeppelin a lot again to get a good feeling about it or even better, completely ditch Zeppelin for Jupyter or IBM Watson Studio

By Aarti R

May 1, 2020

It was a good course. Great understanding received on Jupyter Notebooks. However please update your videos and learning material some of it is still outdated and confusing. Also RStudio IDE can be taught a lot better. I am still not very well oriented to that.

By Sergey

Mar 24, 2020

This course is pretty good but there are a lot of stuff that is not releveant anymore/outdated. For example Data Science Experience doesnt exist anymore and it was quite challenging to follow the videos when you dont have the same interface as shown in video.

By Andreas F

Jan 7, 2021

The course conveys exactly what the title says. Unfortunately the IBM Watson Cloud does not allow access with all email accounts. So it would be better to look for more open alternatives. Fortunately the business email did work, so I could finish the course.

By Johnathan D

Jun 1, 2019

I really liked being able to play around with some of the tools, but please, please update the names so that the videos/tools/assignments are unified. It became very confusing trying to figure out what they were talking about because the tools changed names.

By Oğuzhan T

Mar 7, 2023

It is an awesome course however, I'd like to learn more about Data Science Tools rather than IBM Watson Studio's featues and specialities. I understand that you should advertise your tool but 80% of the course is basically a tutorial for IBM Watson Studio.

By Sieras M

May 23, 2022

Everything is interesting and nice

But the videos and tasks are not updated. So spend to much time...

Disscussion section helped a lot and thanks for it.

My sujesstion would be to inform in advance that all things are a bit different in videos than in reality

By Monica J

Jul 9, 2020

It has a lot of information which is great but hard to mentally process, mostly for newbies on the tools like me. Some instructions for the Labs are outdated or incomplete.

There were a couple of videos that didn't have a transcript which are very useful.

By Crystal W

Apr 24, 2020

This course required a basic level of coding which I wasn't expecting, but was informative. Some of the videos are a bit outdated with instructions that don't match the current workflows of IBM Watson. That's the only reason I'm not giving it five stars.

By NAYAN A

Aug 2, 2023

It was a good course but some of the details were missing such as in RStudio practice, no explanation was provided regarding the codes which we are supposed to copy and paste on our local computer RStudio program. Similarly, it was in the Git console.

By Kathy N

May 30, 2019

There is a lot of good information here. A great course explaining the basics of some tools that will be very useful in the future. The only negative is that some of the videos were outdated and showed demonstrations on older versions of websites.

By RAJENDRAN B

Jan 1, 2022

This course has lots of very good contents, concepts and lab sessions. But time alloted to complete is less. As a learner, I feel, more time is required to actually learn this course and given time is only sufficient for READING the course topics.