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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,175 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

ED

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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2576 - 2600 of 4,596 Reviews for Tools for Data Science

By Friscian V C

Nov 6, 2019

It would be nice if you could update the material since some tools have changed either name or the way they look compared to the videos/images. Very good material though, I enjoyed the course much.

By Thibault M

Oct 1, 2019

A good presentation and initiation to the tools for data science. A little hiccup on the fact that the course should be up to date with Watson Studio that hasn't exactly the same interface. Great !

By Muneeb A

May 20, 2023

The course is overwhelming for a beginner with no experiecne of programming. The examples given in the class seem difficult and should have been of a lower difficulty level to keep the hopes high.

By Lukas D

Apr 26, 2021

Great course, I would really encourage everyone to go through, however videos about Jupyter Notebook or other tools were so fast I wasn't able to remember all the information. Anyway great course.

By Deleted A

Dec 25, 2020

The overall course is great to expect the position week 2 which in my opinion is very poorly delivered. It would great if you can re-do that portion. It feels as though nobody did quality control.

By shaleen s

Jul 20, 2020

Good content, excellent delivery. Week1 had too much of information at once. I was left with little motivation after week-1. All the other weeks were good. Exercises were engaging and very useful.

By Yelena K

Mar 25, 2020

There was a problem with the connection to R lab, never fixed. Also, some tutorials are outdated. These are the negative parts and why I give four stars. Other than that I like the course so far.

By Abdelghany A

Jul 27, 2023

The skill share network has a problem that it does not work at all there must be a tutorial course for using it before the actual course start

but aside from that ... the course is perfect for me

By Andreas P

Jan 12, 2020

Excellent introduction to a variety of open source tools available and commonly used by Data Science Professionals. Some of the video material is slightly outdated due to updates to the platform.

By Jorge L L U

Jun 27, 2020

Good introductory course to the tools. Hands-on labs are fascinating. Sometimes I got a little lost with too much terminology, but at the end of the lessons the most important points were clear.

By Rohan J G

Mar 28, 2020

It's a good introductory course to know all the open-source tools available for data science. However, it will not teach you how to code for these tools apart from introducing a few basic lines.

By Sami T

Oct 31, 2018

Everything was good, except the stuff with Zeppelin notebooks. That was just confusing and it felt like there were large chunks of explanations missing for people with no programming background

By Kyungchan I (

Jun 29, 2022

This course is for understanding the tools for data science. You don't really have a time to spend on those tools yet, but it is a great course for understanding what to learn for your future.

By Dahee C

Sep 13, 2021

It was a useful course to understand the different tools. I think we can add more practice instead of introducing new tools. I personally prefer to do actual practice than memorize new terms.

By Courtney G

Apr 9, 2020

Great beginning course to get more comfortable with the open source tools. Some of the materials are a little out of date though, so you have to just click around to find the intended buttons.

By Danilo L

Sep 28, 2022

It was a lot of content with some very brief explanations. I guess some topics will be detailed later, but It was a little bit overwhelming specially about topics involving Machine Learning.

By Nicolás S

Dec 28, 2021

I would focus more on some practical use cases. Too many tools are shown for us to getting familiarized with all of them (I won't even remember half of them by the end of the specialization)

By David A

Jul 15, 2019

This course introduced me to some great virtual environments to train my skills in data science. I'm now more familiar with these tools and ready to use them in more advanced applications.

By Siddharth P

Jan 30, 2024

Remove the IBM Watson Studio (Optional). It is useless. Also, I can not create free account on given URL. Overall it was good until learning basics of R-Studio and using markdown language.

By Antonio P

Jun 1, 2021

This is such a great course to introduce you to the tools used for Data Science; I learned a lot about git/github; what I did not like about the course is the way some tools are presented.

By Kristopher Z

Jun 25, 2020

Overall good introductory course into the main tools data scientist use. Some videos should be more explanatory and not assume the viewer has programming experience or is a Data Scientist.

By Anupam K

Oct 19, 2019

This is a fast paced course. Where all open source tools required for data science are introduced.

The learner has to take up self initiative to gain deeper knowledge regarding this tools.

By ZHANSAYA Z

Sep 11, 2019

overall, the course is great, but since the IBM environment changed, videos do not correspond to exercises. It would be good to add reading materials clarifying differences in more detail.

By Scott G

Sep 16, 2022

I think it could have done a better job covering toolsets not from IBM also, but I have a reasonable introduction to IBM Watson Studio's toolkit along with Jupyter Notebooks and RStudio.

By Nie Y

Nov 19, 2020

The course in general is excellent!

Just in some part, the sequence of the instruction should be reordered. If you look into the comments from other fellows, they encountered same problem.