Chevron Left
Back to Tools for Data Science

Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,289 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.

Filter by:

4351 - 4375 of 4,789 Reviews for Tools for Data Science

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 Ben K

Nov 16, 2024

Not enough focus on code Peer graded Assignments are worse than Emperor Yang of Sui Als, this peer assignments felt like special ed

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.

By Tal L

Jul 4, 2019

Pretty boring Course.

Doesnt feel I got much out of it except the knowing of the IBM Wasson platform.

Hope next ones will be better!

By CH

Jun 1, 2019

This course is slightly more helpful than the first course, but it is still not clear to me why this needs to be a separate course.

By Matthew P

Jan 11, 2020

Outdated tutorials and expects too much knowledge. Talks about concepts like Apache Spark, RDDs, and tuples with no introduction.

By Kamil m

Jan 5, 2019

Don't be fooled this is one big marketing demo. I wish they would just pick a language and jump into cleaning and analyzing data.

By Ahmed S

Aug 13, 2022

this course is pretty boring to be honest, it has some potential to be useful but the presentations and the way is not intersting

By Taiki H

Aug 17, 2021

I found it to be a bit waste of time. This course was more expositive than explicative and the quizzes only evaluate your memory.

By Juan I

Jun 15, 2019

The instructor seemed to be using a different (most likely the paid) version of Watson. This made it hard to follow the lessons.

By Dhruv B

Apr 7, 2020

Instructions are not clear and software on which tutor teach is look-alike old which caused me issues to understand what to do.

By Abe H

Mar 22, 2024

Rather than summing up all Data Science, I'd learn more from zooming in on one or two, learning how to use them in more detail

By Deleted A

Feb 20, 2020

There seems to be a disconnect between almost everything. Tutorials, lectures, labs. Only a few were helpful but ultra basic.

By Evangelos M

Sep 26, 2018

Sites look different now and the video lectures described an older version I think. Also lectures weren't much understanding.

By Daniël v B

May 18, 2020

The course needs a revision regarding watson studio. Spend a lot of time getting it work, because video's aren't up to date.

By Denis R

Dec 9, 2019

The videos are not up to date with the latest Watson Studio.

I have lost a lot of time to configure Watson Studio correctly.