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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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451 - 475 of 4,596 Reviews for Tools for Data Science

By Raphael K

Jan 27, 2021

A well coordinated and educative course on data science. Highly recommended for anyone with passion to learn and understand data science

By alexander e

Oct 7, 2020

i learned git and GitHub the easy way and also the layout of the video presentation and hands-on practical lab makes learning so easy

By MADIREDDI G (

Oct 5, 2020

I REALLY ENJOYED THIS COURSE. THIS COUSERA PLATFORM IS EXCELLENT TO THE CURIOUS STUDENTS WHO WILLING TO STUDY AND LEARN SPECIALIZATIONS.

By Tom W

Jun 22, 2020

Great introduction into the tools of data science! I'm very impressed and thankful for the wealth of resources presented in this course.

By Naveen M R R

Jun 17, 2019

The course is really helpful and very much understandable, slow and encouraging. I appreciate it and would recommend this to my friends.

By Utkarsh D

Jan 29, 2020

i have learn so many thing like R studio,juypter and how to visulaize the data etc good course i have recommeneded so much for fresher

By Dave S

Nov 24, 2019

Even though some of the course material is outdated, it forced me to figure things out on my own. I feel that is a better way to learn.

By Simran P S

Jun 14, 2019

Really helpful course, it is really good if you're just starting out and want to get familiar with the tools you might be working with.

By Mailson

Nov 25, 2023

This is a really good course. Subjects are very concise and well taught. A lot of important subjects are covered here. I recommend it,

By Eduardo R

Jun 13, 2022

Excelente curso, muy bien diseñado, el contenido es explicado de forma clara y concisa, los laboratorios son muy utiles y aplicables.

By HarrisonLiang

Oct 18, 2020

Wonderful class!I learn the basics of a lot softwares and packages, hope that I can use them to deal with real problems in the future!

By Hemchandra B

Sep 12, 2020

IBM and Coursera have done a great course here. In 4 weeks, I have learnt a lot of tools which prepares me for the data science field.

By Haley T

Jan 3, 2019

Great course, I learned a lot about Open Source tools for Data Science! I will continue to use Watson Studio and Cognitive Class labs.

By Linta M

Feb 21, 2020

This course is very good i experienced skills network lab and watson studio. How to use Rstudio zeppelin jupyter wonderful experience

By Kristoffer H

Jan 31, 2019

Great course for people beginning to learn programming or veterans who just haven't used the various tools of the data science trade.

By Mohamed T Z

Jul 27, 2023

As a beginner, lab exercises for Git, GitHub, Jupyter Notebook, and RStudio were designed perfectly and very easy to follow through.

By Diego M

Jun 17, 2019

Nice course! Good overview of the tools available in market as well as the use of the IBM toolset for professional Data Science Use.

By Metin V

Feb 3, 2024

if you have zero knowledge about computer languages, that course is a perfect start to learning computer languages and data science

By R.Gayathri D

Sep 17, 2023

The course was really nice. Great explanations and lab work. It would be great if there were a few explanations for the codes also.

By Richard B

Jun 20, 2021

This is a rich course, worth your time and money. If you are looking to renewing your skillsets and yourself, then this is for you.

By Ahmed A

Feb 4, 2021

Well designed. Contents and Labs are truly rich. I would highly recommend it for those who would like to quickly enter this domain.

By Romulo T

Sep 14, 2020

Very good course to introduce us on tools we should use to do data science jobs, such as jupyter notebooks, r-studio and IBM tools.

By Obinna O

Jul 24, 2020

A very nice course! Exposes one to the numerous resources out there to help make a data scientist's job easier and more efficient.

By Manpreet S G

Feb 3, 2020

The Data Science experience change to Watson studio is great. However, the videos and instructions need to be updated for clarity.

By Douglas F

Oct 4, 2019

Curso muito bem feito que apresenta de forma clara e direta ferramentas open source que auxiliam o trabalho do Cientista de Dados.