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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,204 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

DE

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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4301 - 4325 of 4,770 Reviews for Tools for Data Science

By Eva M

Nov 14, 2019

I'm afraid I did not enjoy this course because I spent more time with IBM tech support that with the actual learning activities. And by looking at the forum, I wasn't the only one....

By Siavash H

Nov 17, 2022

Too many tools are briefly mentioned and not properly introduced!

This problem is specifically annoying in weeks 2 & 3.

Also, some videos are old, and the voices are not clear enough.

By Jose J D

Sep 23, 2019

La explicación de los videos y la realidad no se parecen en nada. Sin actualización si hay cambios, el esfuerzo es muy elevado. He estado muy a punto de abandonar el curso entero.

By Amir H

May 2, 2019

the course is not up to date with the latest interfaces of the open tools sites, causing a lot of confusion and need to wait for an instructor/mentor to reply in the forum section.

By Saloni S

Feb 18, 2022

Some of the labs were not updated so it was a bit frustating to follow. Also, I would have preferred that the videos shown on data analysis and Watson Studio Knowledge had labs.

By Fábio S V

May 2, 2019

The courses "What is Data Science" and "Open Source tools for Data Science" could be merged in one, there would be a better explanation about the tools available from IBM....

By Sarah W

Oct 26, 2020

Too much straight forward fact, on fact with list on list (hard to stay awake and focused on this because there wasn't anything to break up the facts or the list of tools).

By Amandine B

Aug 25, 2020

Some useful explanation of how to use Jupyther/Github/R but also lots of time wasted on presenting, over and over, IBM's tools and some very poor quality videos for Github.

By Edward J

Aug 11, 2020

Week 2 was very poorly explained. I did enjoy looking at the IBM tools but there was far too much in such a short space of time - too much video made it less pleasurable.

By Daniel T F

May 15, 2019

The whole content of the course is very basic and online scratching on the surface. It could easily be integrated in another course and though could be more constructiv.

By Kevin N

Mar 17, 2020

I give this course a 2. It was so difficult to sign into IBM Cloud. I got repeated error messages. The tool seems to have a lot of bugs and makes learning frustrating.

By Michael S

Jan 2, 2023

Videos totally outdated for the Watson environments.

Too much emphasis is put on the IBM tools, which are very complicated and have no value for learners in the field.

By Deleted A

Jul 1, 2021

This unit should really be optional. Understanding the fundamental principles and tools of Data Science is one thing, shoving IBM products down our throats is another

By Sujith K S

Sep 16, 2020

Rushed through course explaining too many things without proper background knowledge. One section was advertisement for IBM tools which most of us probably won't use.

By Giang T

Jan 21, 2020

To me, this is just a presentation of online tools on cloud data storage. There should be more practical exercises from easy to hard to get used to with these tools.

By Francesco C

Nov 25, 2021

The course was heavily focused on IBM tools but the depth of the lessons were just enough as a marketing presentation. Really few important topics were presented.

By Kevin S

Feb 14, 2023

Course 3 is blatant IBM specific advertisement, so not good. But rest is good, especially course 2 with github. Please stop forcing us to use skills network lab

By Juan J L M

Mar 18, 2020

The course is not updated with all the tools and people spend a lot of time trying to see how the tools work.

Think more application exercise should be available

By Luis P R

Apr 3, 2020

A few problems with IBM Developer Skills Network, specifically the Manage Data Tool and the Zeppelin Tool. Nevertheless, it was a good and interesting course

By Elizabeth C V

Aug 25, 2020

The course explanations and classes were poorly structured and took 10 times more time for me to understand the concepts. I give a low rate for this course

By Umair A

Dec 19, 2018

A lot of time, very little learnt. Two courses and only thing learnt was definition of Data Science and creating accounts. I hope this is going some where.

By François M

Jul 28, 2020

Too much IBM-centric, lots of problems encountered with IBM studio/cloud installation.

Good point: Professors are very responsive to problems of students.

By Javier F S

Oct 14, 2020

Too much information about the different tools that can be used in Data Science. Very broad and at the end, I just learned a bit about Jupyter Notebooks

By Omar K

Jan 11, 2020

IBM Cloud is truly a mess, full of bugs and nothing works as expected which made it much more difficult to complete the course than it should have been.

By Yulia L J

Jul 4, 2020

Videos are super low quality. I understand that this is an IBM course, but don't really want to learn in details their Watson Studio, that nobody uses.