Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,176 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

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.

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:

3201 - 3225 of 4,765 Reviews for Tools for Data Science

By Juan P

•

May 18, 2019

This course explores the IBM data science lab in a brief way.

By Mohsin S

•

May 11, 2019

Slightly mismatch between tutorial and IBM Watson Studio IDE

By Jana A

•

Mar 22, 2022

Very good course. I gain a basic understanding of the tools.

By Michael C

•

Oct 9, 2020

Generally good. Some spots that could use more explanation.

By alan f

•

Mar 25, 2019

It was an interesting introduction to some new tools for me.

By E V N

•

Sep 25, 2024

some of the guides seemed out of date with tools being used

By Kenson M

•

May 24, 2022

The best course i have found on the tools for Data Science.

By Azaliia H

•

Oct 12, 2020

Thanks for the Course! It was pretty hard, but interesting.

By Wesen T

•

Jan 30, 2020

This is a great course to learn critical Data science tool.

By Philip K

•

Aug 26, 2019

Great introduction to open source options for Data Science.

By Roshan P

•

Apr 15, 2019

Good that It introduces various tools with the differences.

By Ed S

•

Apr 27, 2022

Seems to be heavily skewed towards IBM tools and questions

By Bruna T K

•

Mar 1, 2021

Very well explained and support is great. Would recommend.

By Vince T

•

Oct 13, 2020

Covered a lot of material, and it's an excellent overview.

By Arie D F

•

Jan 23, 2020

The course is fantastic, the video about R is a bit laggy.

By VIVEK S

•

Dec 27, 2019

Course is great to kick start your Journey in Data Science

By Prokopenko A

•

Mar 18, 2019

Good, but why observing only IBM tools ? Looks like an Ad.

By Akash N

•

Dec 25, 2021

Good course to know about various tools of data science.

By Ítalo M L L

•

Jul 24, 2021

The content about the IBM tools is overdone and too long.

By Kimberly O

•

Apr 16, 2020

The lectures were not updated but the forums were helpful

By Yousef H

•

Oct 18, 2019

Update the material with new updates on IBM waston please

By Arunjith M

•

Jun 2, 2019

Very poor content on Zeppelin for Scala. Others are good.

By Danial J

•

Dec 29, 2022

It would have been better not to focus only on IBM tools

By Jessely E

•

Nov 28, 2021

Great informational course but did not give me the badge

By Giuseppe M

•

May 4, 2020

good presentation, easy speaking, very funny. Thank you!