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Learner Reviews & Feedback for Tools for Data Science by IBM Skills Network

25,735 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


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.


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.

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3126 - 3150 of 4,173 Reviews for Tools for Data Science

By Necip F E

Apr 9, 2021

Learning about the frameworks and apps was nice. Watson Cloud is kinda cool. However, mentioning too many names in one video was sort of challenging and IBM tools part was sooo overwhelming (especially SPSS video was like taken from an advance tutorial and has nearly zero annotations on the visuals)

By Michael L

Aug 22, 2020

Week 2 was not very well produced. The IBM produced videos were very well done. Had to do some self-service poling around to get information that should have been presented in the course work. Each time I visit the IBM Watson studio it is a new exploration to get started on assignments/projects.

By Caroline V j a

Jul 3, 2020

The tools are at a very very high level and covers so much on machine learning. A beginner needs to learn about the basics of Data science before taking up a course on the tools. Otherwise it will not be of much use. It covers lots of machine learning terms which a beginner might not aware of.

By Bard F

Mar 18, 2020

Course has a lot of information which is outdated from the tools. This should be updated at least by a text file. Also note that the test tool does not work with a computer running linux which also should be informed.

Else the topic was great and the course was really interesting and compelling.

By Maciej H

Mar 24, 2022

It is great to see what tools are used for data science but some explaination on how particural nodes in the workflow work (from the mathematical/alghorithmical point of view) would be even better. The final exam was rather about learning things by heart than actually understanding the topics.

By Katlego M

Aug 18, 2020

The videos have no sense of continuity. There is also a section where the video lecturer who is showing us how to use jupyter notebooks is rushing through the tutorial and even gives a video lecture from his car. Not as professional as I would like or expect for something of Coursera's calibre

By Lukas L

Dec 9, 2020

Some videos were unclear. For example, the one where teacher were sitting in the car. I could feel that he was in a rush at the moment, and has to make a course at the same time. In some other videos repeated the same problem - speech was unclear and not all things were properly explained.

By Diego L

Apr 2, 2020

I got some problems with R Studio with it stops several times so I decided to use the IDE with IBM cloud. The lesson was a little bit too much easy for me and a little bit boring maybe next time next time the course could use only tools present in IBM cloud.

By Clayton S

Feb 2, 2019

Very IBM centric but I guess you get that on an IBM course. However I was getting a few problems with some IBM sites until I upgraded my account (time outs/ errors etc) so I would suggest doing that using the free coupon - I think this issue is more prevalent in places outside the USA?

By Ted N

Oct 2, 2018

At the end of the course, what you need to remember is that "we have a very useful platform for data science that is IBM Watson Studio". However, because it is an enterprise software, its price is very high. So you should end up using something else or be restricted in its Lite version.

By David B

Jan 27, 2020

A little disappointed this module of the course was only really markdown and focused a lot on IBM's products rather than actual technical code. However, I understand that others taking this course are most likely very new to coding and data science, and need an introduction like this.

By Melissa K

Feb 24, 2019

Course content should be updated for IBM Watson. No point in having tutorials to show you where things are when it looks different in reality. Also, I think the videos assumed learners had a baseline knowledge and just glossed over things that would have been nice to learn more about.

By Nachanan

May 23, 2020

The content of the course is shown to be widely-known in the data science field as there are many discussions in the internet regarding this topic. However, the videos in this course are not up to date which cause many issues in practical side of the course and also the assignments.

By Attila K

Nov 11, 2019

1) The course itself is way too fluffy. It's more like a marketing brochure of the IBM services.

2) And it's not even a good one as the name of the systems have changed, the way they are operating has changed, and you can not even do some of the tasks by following the course anymore.

By Peter C

Jan 19, 2020

The course was excellent to introduce the tools you have promised us. However the narrator of Zeppelyn Notebook and RIDE videos was not engaging enough. It would be more efficent and engaging if you can introduce those two tools in the same manner as you did with Jupyter notebooks.

By Alvaro L

Mar 11, 2020

The content and resources for learning are excellente. However, I had a lot of problems for signing in the IBM cloud and it is impossible to contact Coursera for help. At last I managed to have my account, after some hours lost, and some emails sent directly to IBM Cloud helpdesk.

By stefania s

Dec 5, 2019

the third week was very tiring. the use of Watson studio was not intuitive and the videos did not explain well what to do. I lost a lot of time creating a project because I had a different configuration than the one shown in the video. I had to enable options that were not default

By Gabija K

Dec 18, 2019

The information is really bad, because it contradicts the actual functionality from the website. The material need to be removed and corrected. Now it's a waste of money, as all course explains how to use specific tools, while providing incorrect view.

Peer assignment was nice.

By Herbert P

Mar 10, 2020

The general outline of the course is very interesting. However, the content is getting old. Furthermore, there were technical issues on the IBM cloud that blocked many people (including me) to finalize the course. I spend 30% of my time trying to solve technical issues.

By Muhammad I H R

Apr 28, 2020

The course is fantastic with simple explanation and good tips. However the videos are showing an outdated IBM Watson Studio interface which makes it confusing for beginners to follow. Please do upload a new training video with the updated IBM Watson Studio interface

By Max A T

Jan 27, 2020

Lots of good information, but much of it is outdated. The names of these programs have changed. Also, the ordering of the videos seems awkward, like they don't frontload the information in the right order, so that you're filling in pieces between and after lessons.

By Angela W

Jan 28, 2020

The course videos need updating. I, and other students, have wasted a lot of time trying to follow the out of date materials, not to mention the confusion and frustration that it creates. If the materials were kept up to date, I would have left a five-star review.

By Karen M

Dec 18, 2019

First two weeks were to the point and good introductions to Jupyter Notebook and Zeppelin, but the third week tutorial on IBM Data Experience is so out of date as to be useless for being able to set up a new project and complete the assignment. Very frustrating.

By Sangeeta D ( P

Oct 3, 2021

Jupyter Notebook module was explained well however other tools like SPSS Modeler were a little difficult to understand for me. While explaining some of the examples in Watson Studio, it main objective / problem of the project wasn't explained in the beginning.

By Laila

Jul 15, 2020

The first two weeks of the course are poorly explained and don't have regard for total beginners. It gets really disappointing in week 2 where the quality of the videos and the structure of the lecturer is really poor. However, weeks 3 and 4 things get better.