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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,106 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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451 - 475 of 4,751 Reviews for Tools for Data Science

By Jennifer B

Dec 31, 2019

Great to separate the tools and environment in this way, so that working out the tool doesn't get in the way of learning the content later.

By Nur C N

Jul 3, 2019

I love the hands-on with IBM Watson and Skill Network Labs, it's really helpful without set-up my own local environment. Love it so much!!!

By Raghuram B

May 30, 2019

This course helps for people who are intermediate to DataScience. We can explore the popular tools and methodologies used for data science.

By Oedhel S

Apr 15, 2019

Great overview of the most common tools. Definitely worth looking at if you're still trying to figure out what forms of coding to focus on.

By Petko V

Nov 19, 2018

Course content was good. May want to consider updating some of the videos as some of them do not match with what the IBM UI looks like now.

By bilibil

Sep 10, 2019

I am so happy and exited to join this online class.This course is so helpful and because of this course I ve learnt too many useful tools.

By Nguyen T S

Jul 26, 2021

This is a very useful course for beginner data scientist. Thanks IBM for making this course and the free tool for data science community!

By Carlos A A V

Jan 16, 2023

Muy conforme con los conocimientos que brinda este curso. Termino muy contento y con la idea de seguir avanzando en este mundo. GRACIAS!

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.