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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,295 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 4,789 Reviews for Tools for Data Science

By Megha G

Feb 20, 2019

The videos don't align with how the Watson Studio is operated. It took about 3 hours of complete wastage to get to know how the account works on IBM cloud. Kindly update the videos in accordance to the new interface.

By Brad S

Oct 19, 2020

As a person paying for the course. I expect that the focus of the course be on the overall tools and skills I need to be successful as a data scientist, NOT spending two weeks learning why "IBM tools are great."

By Xavier R A

Jul 9, 2020

It focuses too much on what IBM can offer and not so much on other, also effective, free tools that could help a data scientist, also i think this course would fit better later on the Data Science Certification.

By Emanuel B

Nov 1, 2022

I really liked the first weeks of study but i find it very hard to follow instructions of week 3 because of a wall payment i found on IBM Watson Study, that made it hard for me to follow the video instructions.

By Oliver U

Sep 14, 2018

While the Course provided an Overview of available and popular Tools it provided Little actual experience of actually applying them and at Points almost looked like an advertisment for IBM's Cloud offerings.

By Ayden M

Nov 9, 2022

Except for the more hands-on material involving github, watson studio and jupyter notebooks, the course was very dry. Painful to sit through detailed videos of IBM tools, when we only needed brief intros.

By Dantuluri S V

Jul 23, 2019

I had a major problem while using Watson Studio as its interface and features are completely different from what is shown in the videos and moreover it is showing various errors while choosing a project

By Vĩnh T T

Apr 17, 2021

I've been overwhelmed trying to follow all the concepts as well as tools and its usages since I haven't yet had any idea. Placing this course right after the introduction kind of wasting students time.

By Dmitry B

Mar 24, 2020

I appriciated the course in general. Nevertheless, for me the main issue was that the video lectures concerning watson are outdated. The information provided does not correspond to the real platform

By Yannick R

Nov 8, 2019

Very much feels like an IBM commercial. You HAVE to sign up for IBM's cloud service and use a clunky tool there, and on top of that the videos are so out of date that the UI has completely changed.

By Kshanti G

Jun 1, 2022

Several tools shown in the videos seemed inaccessible to us as students. It is very hard to retain knowledge when we don't get to apply it. Some of the videos didn't match the Watson interface.

By Facundo D d V

Jul 30, 2021

Although it's a fast overview of several tools, the course suddenly jumps to some complex concepts and operations that have no previous context for beginners. I don't think it was well structured.

By Taner A

Sep 8, 2019

This is a paid course so update your videos regarding IBM Watson Studio. I wasted a lot of time to figure out the steps. Also the course is very high level and doesn't teach any practical skills.

By Маношин А А

Apr 4, 2020

This course is very short, and, moreover, I had met some negative moments such as outdated videos and the fact that the Zeppelin notebook is not avaliable now (april 2020) on Skill Network Labs.

By Sebastiaan T

Aug 14, 2019

annoying that you need to upload your jupyter notebook via watson studio. besides that the data science experience doesnt exist anymore, so the last week was not great material in my opinion.

By Osman B

Feb 11, 2022

Especially quizes measure nothing. Some options dont make any sense. Some questions, for example, has 4 answer option. And you can encounter that the second option says ''all of above'' !

By Юра Б

Mar 5, 2019

For me better if it will be some docker image with required tools. But there is a promotion to use some external tools, that, as for me, not suitable for some research and development.

By Malcolm M

Aug 23, 2021

The Last section on other IBM tools is not that clear. Had to go to youtube to look for the relevant units inorder for me to understand. The content is abit heavy and not broken down.

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....