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Learner Reviews & Feedback for Tools for Data Science by IBM

21,326 ratings
3,293 reviews

About the Course

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. 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. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

Apr 24, 2019

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!!!!

Sep 15, 2020

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.

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76 - 100 of 3,262 Reviews for Tools for Data Science

By Robert H

Nov 4, 2020

A real disappointment, one of the worst courses. I don't believe IBM has released anything like that.

week 1 - introduction to Python, R and SQL are pretty good and interesting; second part is about other data science tools which is just a confusing list of tens of different programs without any further information thus you will hardly remember anything; the last part is a strange mix of technical details again with hardly any benefit and confusing for people without IT background

week 2 - here comes the best :-(

no clear structure; totally ignores the skills of learners

does not introduce the basic concepts but dives into technical details like a command shell

presenter uses tools that have never been introduced (Anaconda)

video is cropped so that you do not see which menu is clicked at the top

you are asked to use tools but no info about how to launch them

included scripts run into partial errors - there is no explanation in the videos whether it is OK or NOK

videos are recorded in a car as if this were a FaceBook motivation video, with the appropriate noise of cars in the background

quizzes asking questions that will be discussed far later (if at all)

presenter asking you for giving starts on GitHub for his terrific work :-)

hands-on lab is just like “copy this looong script and it will draw a map” - uff - and what does it give the student...

Sum up - week 2 is a total waste of time. You can learn this anywhere else and much faster. This part just disgraces IBM.

week 3 - well structured and interesting, if you accept that it is mainly promotion of IBMs products; and not much information is included; when there is something interesting (data refinery) it is so fast and misses further explanation, so that you will be lost again; btw - subtitles not matching the video :-(

Sum up - shame on IBM

By Hakki K

Jul 9, 2020


I completed entire program and received the Professional Certificate. On the Coursera link of my certificate "3 weeks of study, 2-3 hours/week average per course" is written. This information is not correct at all, it takes approximately 3 times of that time on average! I informed Coursera about it but no correction was made. It should be corrected with "it takes approximately 19 hours study per course" or "Approx. 10 months to complete Suggested 4 hours/week for the Professional Certificate".

Here is the approximate duration for each course can be found one by one clicking the webpages of the courses in the professional certificate webpage: (*)

Course 1: approximately 9 hours to complete

Course 2: approximately 16 hours to complete

Course 3: approximately 9 hours to complete

Course 4: approximately 22 hours to complete

Course 5: approximately 14 hours to complete

Course 6: approximately 16 hours to complete

Course 7: approximately 16 hours to complete

Course 8: approximately 20 hours to complete

Course 9: approximately 47 hours to complete

This makes in total approximately 169 hours to complete the Professional Certificate. As there are 9 courses, each course takes approximately 19 hours (=169/9) to complete.


By Hoseok Y

Dec 4, 2020

I'm very disappointed by these courses. I'm not sure if the other courses are going to be similar but so far the courses has been filled with unexplained jargon and lessons where the instructor is working on a dataset that isn't provided in advance. I'm not sure if I'm supposed to be finding these datasets on my own before but I have no idea where to find the exact dataset the instructors are using.

From my understanding, these are supposed to be introductory courses which should mean that they take the time teach you on a granular level about what they are talking about. Instead, instructors teach as if you should already know the technical terms and don't explain anything. They walk you through what you're supposed to do without explaining the reasoning or what the process is achieving. It feels like they don't really care about the depth of the education.

Feeling kind of ripped off. I really hope that the rest of the courses are not like the first two courses.

By Aarushi S

Mar 23, 2020

I appreciate the efforts that were put together in the course, and I have had very good experience with IBM courses in the past. However, was a bit disappointed with this one. The videos for IBM Watson Lab were outdated, which resulted in a lot of wastage of time to submit the final assignment*. Also, it does not make sense for students to compulsory learn IBM software and use it for assignments. Basically had to learn an extra software which we did not even sign up for. As part of IBM professional certificate, I think it was a bit redundant and can easily be made part of a Python beginner or Data Science beginner course.

*Faculty were helpful to point this out and point a step by step procedure for the updated version. But this was in the discussion section, and also immediately makes having watched the videos completely futile.

By Carlo P

Aug 31, 2020

The worst course of the IBM Data Science Certificate. It does not have the typical quality standards of an IBM course:

- The explanation is very poor, disorganised and very below IBM qualities (even below basic standards)

- Some videos have terrible audio because they are made in the instructor's car

- The teaching lacks consistency and logic: for example, (1) the instructor uses SHH keys but he explains how to make an SHH Key only 2 videos after (he says "I'll tell you how do it later"...); (2) Staging is not mentioned during the videos, but it is requested during the test for week 2 GitHub.

- The instructor takes way too many things for granted.

- Too many topics done in a very superficial way

Do not attend the course if you are not obliged (you are studying for the IBM data science certificate)

By Ilkin A

Oct 1, 2020

For the people who is interesting about taking this course , I will share my real opinions in order not to waste their time and money. 1) This course has not been designed to teach you something it is more about the IBM services. 2) Do not expect that something will be explained in more detial. 3) Especially who does not have any programming background will not understand anything at a specific part of course. 4) Especially during the second week, everything that a person explained in the videos were usefullness becuase if you do not know how to write a code there will be no meaning for you. Even if you know how do coding the sequence or the topics which explained during the 2nd week were just nothing ( no meaning). I can tell a lot about the course. BUT COMPLETELY NOT RECOMMENDED

By Cecile

Dec 28, 2019

HORRIBLE course. Outdated and boring tutorial videos where you learn nothing except to know the existence of IBM tools that I suppose IBM is trying to promote through this course. The videos were made in 2016 and are completely outdated so you can't follow any of the instructions. The tools themselves are extremely buggy: out of 10 clicks, 6 will end up in an error message. They are not intuitive either. There's no way those tools are used in professional environments.

The 5 stars reviews must be fake reviews from IBM staff. There is no way any genuine student would give 5 stars to such a crappy course.

Look at the forums' comments and complaints before paying for this.

Really shocked that Coursera allowed such bad courses on its platform.

By Derek A

Apr 17, 2019

I don't think this course is any good at all. It crams all the different workstations at you giving you tasks to do in each one. Without actually building projects or seriously using these workstations, by the time you need to use them for a project the retention on how do navigate and use them are going to be low. I have totally forgotten how to use RStudio and what Spark is and I am on course 5 of the IBM cert because it hasn't been used since this course. I believe in a stand-a-lone when I need to refresh, this will be good to go back to but seems kind of pointless in the beginning of the Data Science IBM cert.

By Moritz S

Nov 15, 2020

I have enjoyed the other courses in the IBM Data Science certficate very much, but this one was very poorly designed and it felt like a collection of resources from other courses that didn't fit the need of this specific certificate/course. First, there were sheer endless lists of data science tools, without much context, explanations and examples. Then, there were some more practical parts on basic tools, but the instructor rushed through them (seemingly) without much preparation. It still taught me a few things (by pausing and trying stuff out), but I feel like this could have been done much better.

By Maciej M

Jun 25, 2019

The only objective of this course is to push IBM Cloud and Watson Studio on the learners. The software is highly dysfunctional and user unfriendly. I can't submit my assignment due to unclear instructions and errors that come up when I try to do so. This is so far the worst part of this whole course. I have found a forum link with some troubleshooting which I have fruitlessly searched for an answer, maybe somebody will find something there:

By Andrew C

Jul 1, 2020

I regret the low review, but this course needs A LOT of work. Instruction is poorly formatted and (seemingly) lazily and sporadically delivered. This is supposed to be a beginner level course with no prerequisites, however, I wonder if newcomers to the course (and this cert overall) should be equipped with some other courses or specializations/certificates before entering this one. Thank you nonetheless for your effort, and I hope you can improve your material in the future after the chaos of the pandemic (and all the pressure it has most surely placed on you) has subsided.

Kind regards.

By Radu F

Jan 2, 2021

After a great Course1 i was really enthusiastic. Unfotunately, midway Course2 I decided to unsubscribe from the whole Specialization (after reading several other reviews matching my opinion).

Course 2 it's a bunch of bullshit with videos listing programs, tools, databases and a lot of jargon with no explanation. A lot of outdated stuff that brings 0 added vlue to anyone. Btw. I'm not really a newbie into data science, so it's not about difficulty. It's just useless! Don't waste your time on this!

I think Course2 is doing more harm than even brining something usefull to the table.

By Karen N

Apr 23, 2020

I enjoyed the hands-on lab work. Unfortunately, the instructions given in writing and in the videos are outdated regarding IBM Watson Studio, and this led to a lot of frustration and wasted time trying to click around and search for the correct instructions on my own. There were also many typos in one of the written lessons, and the quizzes didn't always match the material addressed corresponding lesson (or, in one case, the quiz question popped up before the topic was addressed in the video). While I'm grateful for the lab work, this was not a good educational experience.

By Kalin T

Aug 10, 2020

A gigantic advertisement of IBM Watson Studio.

Not only that, but the studio itself does not function properly.

Some of the videos were made by an IBM professional in his car!!! Honestly, you can see him on his webcam...

I found not more than 20% of the course useful.

A waste of time and money!

By Gabriela G

Apr 15, 2020

The course is way too basic to pay for it, you can get better value for your money somewhere else. I had too many issues with Watson Studio and the support I received from the tutor/assistants was repetitive and not helpful.

By Seth B

Dec 13, 2020

The sections on Jupyter, Python, and RStudio tools was very hard to follow and unclear why we were performing the actions. The presenter was very knowledgeable but was unclear how it would be applied.

By Xixi Y

Dec 8, 2020

You are forced to learn some of the Watson functionality, which is not useful for most students. Ridicules for paid study.

By Yeimy C R B

Jun 13, 2020

The videos about GitHub were lack of pedagogy. fast, not clear and the subtitles in most of the cases did not match.

By 박영현

Nov 25, 2020

Is it adv for IBM? I didn't learn, and I feel like I paid for an ad.

By Jason R S

Nov 23, 2019

I'm giving this the 5 Star review that it deserves, even though I ran into multiple issues when setting up IBM Watson Studio. The application from the video differed greatly from whatever version of Watson Studio that I had logged into - as if the video content was outdated. This made the navigation of the setup very cumbersome and time-consuming and it also hindered and delayed my ability to complete the assignments. However, everything else was either on point or better than the training materials (specific to the DS tools) that I had previously used. It appears that other students had completed their final graded assignments w/o any issues, judging by their submission date after I was tasked to grade their projects...

By Tony C

Aug 22, 2020

I really enjoyed taking this course! The well thought-out and thorough course content kept me captivated through the whole course! I really appreciate the effort put into helping us students learn the most current technologies! Since I've recently finished a course on Machine Learning, I do have a suggestion for possible improvement of IBM SPSS Modeler's Analysis Node. That is to show calculated precision and recall, in addition to accuracy; especially when there is a low probability of occurrence when accuracy value can be misleading. Thank you, again, and may the love, joy, and blessings of our Lord Jesus Christ be with you and all who take this course!

By Jianxu S

Aug 22, 2019

This is the first course I have completed on Coursera. Overall it definitely meets its objectives. It is written for beginners and it indicates so in the course description. Yes some of the materials are a bit out of date but I do not find anything impeding. At times, for examples, during the setup phase for the tools, I felt stuck and the fact there was no one around to answer questions made it more challenging. However, part of the learning is to deal with uncertain situations and prepare us for the future. I did feel more satisfied when I finally overcame the challenge.

By Roshan B

May 1, 2020

This course is really good to get some basics of the tools but if you want to get better in these tools you either need to have basic knowledge of computer programing prior or you need to explore each tool yourself and give it huge time.

I would suggest the course organizer give some optional practice materials so that people can practice it and get familiar with the tools. Also, the course videos introducing IBM Watson studio are a bit outdated with the current website interface so some times it can be a problem to understand what to do.

By Ashok K

Dec 20, 2018

It is a good course. Lot to learn about Data Science. There is a small problem at times. Like the IBM Watson Studio instruction do not match with the actual website. BUT this minor small problem is easily over come. As I am discovering. The IBM's website is being upgraded for GOOD REASONS. SO even if there is some mismatch in their video instructions, no problem !!! One can find newer relevant answers on Google search or on FORUMS. Which is very good in learning to overcome minor difficulties. So Overall VERY GOOD as I am also learning.

By Sanjeev K

Apr 28, 2020

I love you Coursera, I am really thankful for the Coursera community to provide us the course is free of cost. so many students like me suffering from financial challenges and Coursera provides us the very best course free of cost. thank you very much, Coursera.

I want to tell about something about this course, this course was really awesome and able to understand all the concept of opensource tools for data science like jupyter zeppelin and IBM Watson. this course is very helpful for me. Through this course, I learn a lot of things.