Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,282 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

Sep 21, 2020

Gives you a good idea and overview about different tools but can be overwhelming because of the amount of new information and some videos are not up to date. Week 3 especially had some weak videos.

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

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1276 - 1300 of 4,969 Reviews for Tools for Data Science

By Hamidreza B

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May 5, 2019

It was excellent, I enjoyed learning and my experience.

By Sérgio L

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Apr 21, 2019

Excellent! Very didatic even for one who's quite dummy.

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 Fakhrul U

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Apr 28, 2025

I'm very happy with this course, good contents of Labs

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

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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