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

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.

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1226 - 1250 of 4,751 Reviews for Tools for Data Science

By Patxi G

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Mar 1, 2019

Excellent overview of the data science tools landscape.

By lee a

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Nov 16, 2018

good (gentle) introduction into IBM Watson environment.

By Amit C

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Sep 21, 2023

Good for beginners, needs more clarity in assignments.

By KANITHI S S

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Jan 6, 2023

DEFINING OF DATA SCIENCE TOOLS EXPLAINED VERY CLEARLY

By A. G

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Jan 5, 2022

all the time thinking about need more practis quiests

By Sahand M F

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Nov 3, 2020

another wonderful course from IBM. Thanks you so much.

By Liza V

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Mar 24, 2020

This is a great course, very detailed and interesting.

By Krešimir S

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Mar 3, 2020

Great course as an introduction to Data science tools!

By Harsh S

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Feb 2, 2020

Wonderfully Designed Course in the field Data Science.

By Luis M

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Dec 12, 2019

Great introduction to the various resources available.

By Nadya O

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Nov 1, 2019

Well organized and easy to follow all the instructions

By MANUJAKSHI B C

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Jul 11, 2019

course really helped me in learning Data science tool.

By Ankit J

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Jul 3, 2019

Great overview and hands on of the Data Science tools.

By Paulo R R

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Mar 6, 2019

Excellent presentation and exercises! Very complete!!!

By Roman S

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Mar 2, 2019

A great course with simple but useful practical tasks.

By Mohitkumar R

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Oct 18, 2018

Great. Lots of new tools info are provided. Great work

By Joe T

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Oct 2, 2023

Excellent Overview of Data Science Concepts and tools

By Praveen D

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Jun 13, 2023

theory has been very elaborative and understandable ,

By Christine A

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May 14, 2023

It's a hard course but a fulfilling one once finished

By Hassane D

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Aug 23, 2022

Hard course with rich knowledge and hand-on practice!

By Ignacio G

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Jun 16, 2021

Muy interesante. Una buena introducción a la materia.

By NEHA S

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Nov 2, 2020

Learned IBM tools introduction and about Jupyter Labs

By Rivers L

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May 18, 2020

Great introduction to various tools for Data Science!

By ROUNAK

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Apr 3, 2020

It was nice to know and learn these open source tools

By Tanweer A

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Mar 30, 2020

Gives overview of tools required and how to use them.