Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

30,158 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

Feb 8, 2024

Great explanations, appealing presentation, I'm just very grateful this kind of quality education is accessible over the internet. Great resource for anyone that has serious interest in Data Science!

Oct 16, 2024

Good Course overall focus in basic tools. the course could be shorter as someone who know which language who want to use and familir with the tools already shouldn't learn all the course materials

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3401 - 3425 of 4,938 Reviews for Tools for Data Science

By Anurag B

Sep 29, 2019

It good and give us Basic Knowledge where to start

By Brijendra K

May 7, 2019

very basic. there should option for easy and hard.

By José J R J

Feb 25, 2019

Four star because some of the content is outdated.

By Donald L

Mar 5, 2021

some jargon difficult for newcomers to this field

By Deleted A

Aug 2, 2020

I think 糖心vlog官网观看 needs to work on video lectures.

By Ram S

Mar 13, 2020

Some files are not working. It was disappointing.

By Parthasarathi D

Feb 16, 2020

I found the course helpful. The flow is also good

By Pierre C

May 21, 2020

Overall pretty good. Week 3 needs to be updated.

By Luis F P

Feb 6, 2020

Me gustaria que tuviera mas ejercicios practicos

By Ashok J

Jan 26, 2020

Watson studio expertise steps should be updated.

By Devraj S

Jun 11, 2019

There can be more explanations to use the tools.

By H?i Y Q

Nov 13, 2023

Don't have a good experience on peer assignment

By Efrayim M (

Feb 6, 2023

learn many tools that didnt know before. thanks

By act j l l t

Aug 25, 2022

Falta actualizar algunas imagenes a Watson 2022

By BALA I

May 7, 2022

All quiz and teaching materials are very useful

By Raúl A

Jan 16, 2020

Needs to be updated. Everything else very good.

By Manpreet S

Apr 16, 2019

Give a good understanding of tools and platform

By Benson B

Mar 28, 2019

Could have thrown in few more practice quiz !!!

By Luis A C S

Jun 7, 2023

me gusto peronestaba complementamente en igles

By Rohit S

Jun 15, 2022

this course me confident in data analyst skill

By Wicked M

Jan 5, 2022

I didn't like some of the questions on week 4.

By Anastasiya K

Feb 13, 2021

Informative, but feels like IBM advertisement.

By omid z

Dec 21, 2020

it had a good and fast overview through tools.

By Elena N

Jan 24, 2020

Section about IBM Watson Studio is out of data

By Mayank S

Dec 23, 2019

Course was not updated with IBM Cloud platform