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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,855 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

FD

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Some of the lab assignments had instructions that didn't line up with how the programs actually worked. This was particularly the case for modular flow where auto-numerics seemed impossible to use.

VV

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i rather to chose what is data science is better in perspective of materials and assignment, because in tools for data science i feel a lot of boring because to much explanation for what have to use

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3151 - 3175 of 4,726 Reviews for Tools for Data Science

By Heba M

Dec 24, 2018

Thank you. Very helpful and motivating to explore various tools.

By Irene H

Jan 17, 2023

The instructions for the skills labs didn't always work for me.

By Known S

Nov 6, 2019

The course wholely covered IBM watson and other IBM cloud tools

By Sean M

Aug 13, 2019

I would like to see this course give more hands on assignments.

By Teofilo E d A e S

Apr 1, 2019

I finished the course with the understand of doing basic stuff.

By Ahmed B

Mar 5, 2019

We need more tutorials on all tools demonstrated in this course

By ELAMPARITHI R

Jan 10, 2019

The lab exercises should be more interactive and better planned

By Dianne G

Feb 2, 2024

The R lab environment needs some attention. But good overall.

By otieno a

Jun 11, 2023

The knowledge that this course gives the learner is invaluable

By ripunjay t

Apr 28, 2023

Course design was not logical, it assignments are very lengthy

By Pranav N

Feb 12, 2023

practical hands-on should be more than the theoretical videos.

By Germán G

Oct 16, 2021

i had problems using spss and ibm watson is hard to understand

By JOSE R P

Sep 4, 2020

Necessario atualizar o curso para nova versao do Watson Studio

By Akash M

May 24, 2020

Basic knowledge of tools were to given for different analysis.

By Brett R

May 26, 2019

Was glad to exposure to some of the different tools out there!

By Deleted A

May 15, 2019

Good intro though a bit rushed. More hands on would be better.

By Edgar L

Feb 11, 2019

Videos don´t match with the last version of IBM Watson Studio.

By Nnanke W

Jul 25, 2022

great course but heavy on IBM software that is not necessary.

By Ekkarit G

Apr 1, 2022

The screen practiced looks different from the study material.

By Said E

Jun 10, 2021

Good introduction, but some of the information is very basic.

By Apurv T

Jun 20, 2020

Overall is good but Data cleansing section is bit Fast though

By Ruizhu J

Nov 14, 2019

very useful online and free open tools to help data analysis.

By MARIA F B

Aug 27, 2019

Great course, I feel I'm starting to get fun learning code :)

By Natchapol T

Jun 12, 2019

Cool course, give insight on the possible tools for newcomer.

By Juan P

May 18, 2019

This course explores the IBM data science lab in a brief way.