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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,855 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

MM

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The course contents are verry good and well structured except that Watson Studio tools and services options need to be explaind more, specially those used in the lab steps or explained in the videos.

FD

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Some of the lab assignments had instructions that didn't line up with how the programs actually worked. This was particularly the case for modular flow where auto-numerics seemed impossible to use.

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4476 - 4500 of 4,733 Reviews for Tools for Data Science

By Afia I S

Jun 10, 2020

This course is really disappointing. This was supposed to be a beginner level but it is not actually. Someone has to have a clear knowledge about Python, RStudio, machine learning, AI etc beforehead to actually understand this course. I continued for 2 weeks the gave up because it is not worth it!

Really did not expect this from platform like coursera and IBM.

By Yinnon D

Mar 13, 2023

Outdated videos the IDE of watson cloud and studio is completely different wasted a lot of unnecessary time on trying to figure out what to do. I felt a little cheated like "here is a course we did try to figure it out" I think it is disrespectful to put a course like this out to students. at least update the videos you are a respectable company.

By sunney f

Mar 1, 2022

It is a poor course as not all of us are going to have the luxury of working on IBM Watson or even SPSS in academia or even in some medium sized companies. The course lacks any kind of mathematical or even programming rigour. All IBM related stuff should be optional. I liked the github part though. More time could have been spend on that..

By rezq d

Mar 10, 2021

Jupyter notebook, Rstudio and Watson studio are probably a great software. however, the amount of technical jargon and bad presentation made me not like to work with them. please consider changing the way this course presented. it is very superficial and have no benefits.

Such a waste of time. the assignment cannot be created on Watson.

By David C

Jan 1, 2021

The first course is a brief overview of the field. The second course (this one) does not dig into the field, but immediately jumps into countless tools of the field, in which the student doesn't even yet know for what we are using those tools. If this course were among the last of the series it would make sense, but this is useless.

By Deleted A

Dec 20, 2019

The course should be improved, as all resources that it references to were significantly changed. At the moment I do not see any benefits of continuing the whole IBM Data Science set of courses, as I anticipate that the next 7 courses are at the same "not up to date" level. It's sad as I have to search for better knowledge sources.

By Matt D

Jun 23, 2020

This is not a beginner course. At all. The instructions skip over multiple steps to the point where you have look up half of everything yourself. Which is not why I paid for this course.

To be clear, this has been an issue in both of the IBM's Data Science Professional courses I've begun. DON'T WASTE YOUR MONEY IF YOU'RE A BEGINNER

By Nader M

Nov 11, 2021

a lot of errors, mostly marketing IBM products and so on. test subjects were on some unimportant items, well of course when the course itself has a lot of unimportant subjects discussed, the items showed up in test will reflect that.

some of labs didn't work. it kept saying the site was under maintenance for two days and I gave up.

By Ignacio D B

Apr 27, 2021

Watson Studio is objectively bad, full of bugs and at times, it doesn't even work. To finish the final assignment a student had to create a tutorial because the resources on the ourse are not updated. Paying 40usd to access de course and being shoved such blatent publicity is enfuriating, even more when you're required to use it.

By Svyatoslav A

Mar 4, 2021

Too basic info, and a whole host of shameless self-promotion. This course's usefulness is in 30 minutes of videos about Python, R, and SQL that give erroneous information and then followed by three weeks of discussing IBM tools. And you have to pay a subscription fee for the privilege of having a product sold to you. Disgusting.

By Tahshin M

Nov 24, 2019

Absolute waste of money and time. The videos are outdated and can not be followed. The quizzes are totally irrelevant. The videos will make you sign up with lots of IBM services and won't teach you anything about it. Totally frustrating experience and it was the worst "course" I've ever experienced in my life. Wouldnt recommend.

By Yashvardhan R

May 14, 2019

The course felt poorly structured. Quizes ask questions that have not been covered yet. Have had to use a lot of secondary resources, googling, to understand terms. The videos would reference tabs that didn't actually exist in the jupyter workbooks. All in all a rather unsatisfactory experience compared to the first course.

By Ellie B

Apr 19, 2020

I'm sorry but I felt like there was not much guidance in using the tools you introduced us to. I was able to get 100% on all my tests while not being able to press single button on apache zeppelin - still completely don't know how to use this program. Your links don't work, videos are outdated and forum doesn't help either.

By Deleted A

Jun 4, 2020

During the final portion of this course, it got confusing and their was no one to help. I stumbled throw this course. Even when I tried to email or text or go to the discussion page, no one to help me. I am not sure I want to go any further using your course. I guess it's like the old saying "You get what you pay for".

By Guntitat S

Aug 3, 2021

It is like you watching IBM's ads. You get to know (only) the NAMES of the tools that you might encounter in your future path of data science, which is why I give one star. Other than that there are only IBM products. Half of the question in the quizzes and exams are asking about their products, so listen carefully. :)

By Roxie F

Mar 25, 2022

Awful runs counterintuitive to coursera's whole motto of completing at your own pace. if you take more than a month to complete the course, which you're paying coursera for, your IBM cloud subscription shutters itself and you can't even contact IBM to redeem codes without paying for IBM cloud software. What a scam.

By Binha

Jan 20, 2021

O curso é focado para as ferramentas de dados da IBM, so apresenta elas, não ensina a mexer. Muito menos ensina a programar em qualquer linguagem importante na ciência de dados. E o trabalho final é um absurdo, mandam fazer formataçao de texto e outros recursos no Jupyter Notebook ao invés de programar.

By Chris F

May 19, 2021

Keeps talking about high level tools and terms that have never been introduced before, and not much guided hands on to get used to them, glosses over most of them in 5 minute videos and then be done with it. Feels very much like an advertisement for IBM products rather than anything helpful to learn.

By Dr. L F D D B

Aug 29, 2019

No puedo calificarlo bien, por mas que quice hacerlo . Si hablas español es mejor no cintinuar el curso, puesto que el Programa Watson studio está muy desfasado en actualizaciones de una región a otra He batallado mucho en enviar tareas etc . al final me decidí por otro curso en ésta plataforma

By Akhil R

Jul 16, 2020

A very bad course!!!

Extremely disappointed by this course. It was meant to be for beginners, but the explanation was not understandable for beginners. Even the videos were very short and didn't explain some of the very basic parts. Worst experience I every had with any of the coursera courses.

By David K

Oct 19, 2019

I spent more time searching for options, which changed or did not exist than about the tools themself. How can you still have this course online? This course is a waste of time and slows people down, that are interested in learning about Data Science. This should be removed from the curriculum.

By Seth C

Dec 26, 2023

This course is largely useless. I learned very little about how to actually use Jupyter and RStudio. If the point of this course was to encourage users to fork out money for Watson Studio by frustratingly not show users how to use and install the open source tools, it was a huge success.

By Sebastian K

Feb 26, 2020

Not very useful at all. Basically just a marketing campaign for IBM. The fact that they dare charge for this course or any of the other in this specialization is outrageous. Most of the content is outdated and the tools they force you to use have been updated so the content is not aligned.

By Janhavi D

Aug 19, 2019

Coursera needs to update the material and almost all of the videos. It is frustrating and time-consuming to figure things out on IBM Watson Studio when the instructions are non-existent. You need to go through the forums and discussion-threads to figure out how the Jupyter notebooks work.

By Jani T

Apr 23, 2022

It was basically all about IBM own software so if I go with this certificate, all I can say I have some knowledge of Watson. Jupyter yes also was introduced, but got feeling if this professional certificate will be all with IBM own stuff and not generally for data science. Hopefully not.