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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,525 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 plent...
...

Top reviews

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.

GC

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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4376 - 4400 of 4,837 Reviews for Tools for Data Science

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.

By B D

Jun 13, 2019

Course about Watson Studio is outdated. Students wasted time on project because of this. Since students are paying for the course, it is unacceptable.

By Daniel B

Mar 14, 2021

It seems to be one big ad for IBM products, and I did not find anything very useful. It seems a bit like losing time than learning anything useful.

By Leanne O

Jun 22, 2020

This course is not structured well and not great for beginners. You are introduced to a lot of tools without much context or actual instruction.

By Yinlu D

Dec 14, 2019

Have wasted quite some time in searching back and forth for the updated features on Jupyter Notebook due to part of the outdated course content.

By Rinny J

May 25, 2019

The course materials need updating. The IBM platform has changed which has made it hard to maneuver the website and follow the directions given.

By Inon Z

Jan 21, 2019

low level content. a combination of a few available IBM tutorial. The didn't even bother to change the names of the old platform to the new one.

By Ali S

Mar 28, 2019

Very boring course... It was not that deep! It only takes a few hours to complete it! To be honest, I felt like it was a Kindergarten course!!!

By Lakshya

May 23, 2020

This course was just the marketing of IBM tools. I gained nothing expect the link which was in a discussion where I learned some basic python.

By Karishma K

Jul 5, 2019

Had problems with creating notebook on IBM watson studio and got no expert help. I had to figure it out on my own which took a lot of time.

By John P C

May 9, 2019

Videos need to be updated, as the IBM Watson Studio has a new look and differs from he examples in the video. Very confusing to beginners.

By Greg H

Sep 3, 2018

The course does not seem to be maintained - a couple of things changed since the last update that make it hard to follow the instructions.

By Nathan E

Feb 6, 2020

It was nice to get an overview of the tools, but I found the labs very simple. There didn't seem to be any important tasks to complete.