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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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4476 - 4500 of 4,789 Reviews for Tools for Data Science

By John J C

Mar 25, 2019

Too many advertisements from IBM tools

By Guillaume T

Feb 24, 2020

A really basic and outdated intro :/

By Roy L

Jul 23, 2019

a lot of 'monkey-see monkey-do'

By Dovile K

Feb 15, 2020

The course is pretty outdated

By Anastasia S

Apr 10, 2020

Materials are not up to date

By pranav g

Jul 2, 2020

boring and not very helpful

By Sruthi M S

Apr 12, 2020

Poorly taught. Worst course

By Daniel y g

Mar 28, 2020

update the videos please...

By Jonas N

Jan 18, 2024

Very boring teaching style

By Amrinder K S

Sep 17, 2022

very less coding exercise

By Camilo A

Apr 7, 2020

Outdated and disorganised.

By Ibukunoluwa B

Oct 17, 2020

Not so beginner friendly.

By Lau K K

Nov 16, 2020

the guidance is unclear

By Liu Y

Sep 8, 2020

not that clear for new.

By dan

Mar 18, 2020

only basic information

By Mite W

Feb 6, 2022

Too many IBM tools...

By Maximilian S

May 2, 2019

Mainly self-promotion

By sahiti R

Sep 5, 2020

too high syllabus

By Asfandyar M

Feb 25, 2019

Outdated slides.

By zakariyya z

Jul 25, 2022

Outdated

By Matias C

Jan 20, 2020

Outdated

By Harshil S

Jan 17, 2019

Too easy

By Benedikt W

Feb 7, 2023

If this course exemplifies how IBM does business, I do not wonder, if they would go out of business soon.

If you are interested in Data Science and Data Analytics, but just starting out, the Google Certificate Program on Coursera is a better fit for you! The actual insights into Data Science as a Science here is quite low compared to the length of the course. You can see that the course was designed by someone who is a Data Science practitioner but has no idea how to conceptualize an online-learning-format...

The content of this course, in part, is quite interesting. However, it is by no means a beginner-course and gives you hours and hours of highly software-specific content which, if you do not use or need the software which is featured, does not add any value to your path!

The graded tasks made it unbearable for me to follow the Course. They require you to access third-party websites where you have to manually login, create an account, verify it at least 3 times (with your credit-card as well, which did not work for me, so I was unable to continue, if I wanted to have the certification at the end)... Please review your strategy.

By Cortney H

Jul 9, 2021

It was a lot of overview. I honestly felt like I only learned definitions and what IBM tools look like and didn't get to dive into any real projects or examples. I was very disappointed in the limited opportunities to do anything real with the hands-on projects. They were too simple, like how to create a Jupyter Notebook, or play around with nodes. When I tried to code alongside some of the instructors on the optional GitHub sections, I didn't have access to their repositories or data, so I couldn't really do anything. In other videos the programmer completely skipped over important steps as if we had used the product before, or failed to provide any context so we didn't know what the goal was - so it was just some random exercise that barely made sense and wasn't much help to me for applying it to other real world situations. I don't feel anymore prepared to use these tools, and I got a 100% on every project and exam. I was expecting a whole lot more. I hope the next courses are better and I actually get to learn how to do something worthwhile.

By Ying H

Mar 23, 2023

The second module of this course appears to be poorly designed, with little effort put into pedagogy. The material bombards learners with a plethora of technical names and terminologies without providing adequate explanations. As a result, students are only taught what to do, but not why they are doing it. As a learner, I found myself simply following instructions to click here and there without understanding the purpose behind my actions.

Despite the course's introductory claim that no coding or programming experience is necessary, I feel that I haven't gained any significant knowledge from this module. I've only memorized a list of tools and programming terms, without grasping their meanings or applications. It seems that the course designer assumed that learners already have some familiarity with the subject matter, which is not the case.

Furthermore, the lessons themselves are delivered in a tedious and confusing manner that fails to engage students. Overall, this module leaves much to be desired in terms of its instructional effectiveness.