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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,125 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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3051 - 3075 of 4,754 Reviews for Tools for Data Science

By Gisella B

Feb 25, 2020

Hay videos desactualizados en la semana 3 y me costó poder seguir las instrucciones.

By Tony L

Jan 20, 2020

High-level introductions of the common data science tools and analytics environment.

By Xiwen L

Oct 29, 2019

Nice intro to different tools. If only it gives more examples or exercises to drill.

By Nathan P

Oct 10, 2019

You will not really be using these tools in this course, they are simply introduced.

By Jozef M

Sep 1, 2019

I've learned about many data sources & created accounts where I can learn. Thanks.

By Thomas T

Aug 20, 2019

Good course, but a little bit unfortunate that the IBM Watson Studio changed design.

By Chris O

Sep 8, 2021

The audio on the videos was not consistent. On some videos, the audio was too low.

By Melissa k

Feb 4, 2020

some videos/ articles are outdated. please update, especially watson studio's part.

By Simpson I

Dec 29, 2019

It Gave me a good basic understanding of the open source tools used in Data science

By Aaron S

Feb 17, 2019

A lot of the videos, especially week 3, are not current with Watson Studio screens.

By Bastian E

Feb 17, 2021

Good course, very clear what to do. In week two might be too many tools presented.

By Baojing C

Jan 24, 2021

Many instructions are not correct, always make me confused, but anyway I passed it

By Dante S

Apr 27, 2020

All and all a good course, but there are a few courses that have confusing videos.

By Hong W

Mar 27, 2020

Good to learn some popular open resource tools especially for the IT dumb like me.

By Bruno G

Nov 23, 2019

Good overview for someone that would not know about opensource data science tools.

By Sucheta

Aug 8, 2019

Good course to understand open source Data Science tools. It gives a good insight!

By Derek S

Mar 22, 2024

Useful for beginners and fairly comprehensive as a refresher for the experienced.

By Greg G

Jan 6, 2024

The material is fine. The environment and interface are not intuitive or smooth.

By Gianna B

May 11, 2023

I would have liked more hands-on practice and fewer screenshots during the final.

By USMAN I I H

Sep 5, 2022

It was good I can rate it better once I find a good job relating to this course.

By Javier R

May 13, 2022

Good overall.

Excessive IBM content.

The final exam has a strange set of questions.

By Ibrahim G

Apr 22, 2022

it was some how fast and lack of exercises to practice all contents of the videos

By Sergiu P

Mar 22, 2021

It gets confusing learning about all of the tools available, maybe touch on less.

By Jeison J L

Jan 21, 2021

Nice introductory course / would like that the first part be not so content dense

By Tanvir A

Jul 10, 2020

Informative but videos should be updated and should made more easy to understand.