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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,164 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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3001 - 3025 of 4,763 Reviews for Tools for Data Science

By Andrei B

Jan 17, 2020

Last part is a bit out of date after IBM changed the interface of IBM Data Science Experience.

By Anguidou N A R

Aug 22, 2019

Un cours vraiment tres interressant

j'ai beaucoup apris sur Jupiter Notebook, Rstudio, Zippelin

By raviteja g

May 27, 2019

A very brief overview of all the open source tools required for Data Science. Well structured.

By R V

Aug 14, 2023

Good course, better clustering of similar topics would have improved the learning experience.

By Michael S

May 10, 2021

There was too much video content for the variety of tools. The content, however, is thorough.

By Mauro V

Jul 14, 2019

Course is not updated to the IBM Watson Studio interface. Good material and exercises though.

By WILLIAM M F

Dec 16, 2023

The course is very good, but the colleague who made my assessment didn't pay much attention.

By Harsh S

Mar 23, 2020

Nice course for learning the basics of open source tools required in the data science field.

By Rafael K H

Nov 23, 2019

Some videos are outdated, but still you can manage to complete all sections and assignments.

By Fabio W

Jun 13, 2019

Great course, Watson screens are little out dated now but it doesn't detract from the class.

By Tiffany W S

Sep 5, 2018

Some of these videos need to be updated. They don't along with what is current on the sites.

By Santosh K K

Jun 13, 2023

It is a good course for beginner's to know what all are used for working with data science.

By Gage S

Mar 30, 2020

Some of the material wasn't up to date. However, it was still easy to figure everything out

By Hrushikesh R

Feb 20, 2020

The final Assignment marking was not good though I performed well I didn't got full marks.

By Aditya V S

Jan 27, 2019

Good introduction to the tools that will be used in visualizing the data and data analysis.

By Harshit M

Sep 5, 2022

good course but face some difficulties in last but overall good course to learn new skill

By Raj G

Nov 14, 2020

Apart from IBM Watson Studio, you should also make videos of other cloud services as well.

By Ravindra D

Oct 24, 2019

Covered important open source tools for Data Science.

Also demonstrated IBM Watson Studio.

By Biprajit S

Jun 20, 2019

There is a discrepancy in one of the sections due to older versions. Not too major though.

By Mohamad A H

Jun 7, 2019

Jumps straight into the tells. Needs a little more transitional introduction from course 1

By Dennis A

Oct 25, 2024

A good overview. For some reason I wasn't able to complete Module 7 - but it looked good.

By ROHAN M

Jul 21, 2023

In terms of theory it's well explained and structured but the practical aspect lacks here

By Linda N

Jan 2, 2022

Thankful for the teaching and the course, but some of the instruction was hard to follow.

By biblio p

Sep 24, 2020

Easy to learn course. Expansive and Introductory. Familiarize well with mainstream tools.

By Neelesh T

Feb 7, 2020

It was fun and I really enjoyed learning through out the course!

Thank You IBM & Coursera.