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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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4151 - 4175 of 4,596 Reviews for Tools for Data Science

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 15, 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.

By Felipe B

Feb 25, 2022

I feel like i didn't learn how to do much here except learn how to read directions and follow along. My googling skills also improved.

By Benedict P

Aug 30, 2020

Brain Dump of Information, some videos did not sync properly and it was difficult to understand (not because of professors, but audio)

By Usama S

May 15, 2020

Felt like an advertisement for IBM products. Not much to learning in this course. Some videos were just plain reading text from web.

By Mauro F

Mar 27, 2020

The course doesn't give interesting information and videos are not update, so I wasted a. lot of time to setup watson studio istance

By Aniket R

Jul 16, 2019

Contents are nice but had a nightmare accessing Lite version of IBM Watson. Did not have option to create assignment without Watson.