Chevron Left
Back to Tools for Data Science

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

NK

Invalid date

The course video contents and the tools versions are not the same.There are some significant differences .Videos should be updated.In general the course is a good fundamental course about the tools.

MA

Invalid date

The course is overwhelming for a beginner with no experiecne of programming. The examples given in the class seem difficult and should have been of a lower difficulty level to keep the hopes high.

Filter by:

2376 - 2400 of 4,722 Reviews for Tools for Data Science

By Ronny J G P

Dec 17, 2020

Great

By 许皓岚

Dec 13, 2020

nice!

By Shylesh R

Jun 24, 2020

Super

By Madhuka P

Jun 5, 2020

Super

By Omotiba T j

May 26, 2020

great

By purnachand k

Apr 23, 2020

Great

By Mohammad H I S

Apr 21, 2020

great

By 陈镇铧

Apr 2, 2020

Great

By Harsh T

Mar 17, 2020

great

By PREMITH P C

Feb 28, 2020

super

By Zack R

Feb 6, 2020

NIice

By Diego B

Dec 11, 2019

great

By AC

Nov 15, 2019

Great

By Mauro M M R

Oct 28, 2019

great

By Karim M E

Sep 14, 2019

Great

By MOM K

Aug 6, 2019

Great

By Ramazan O

Aug 4, 2019

great

By Senthil R B

Jun 24, 2019

GREAT

By Antonino C M

Apr 14, 2019

great

By saeed m

Mar 15, 2019

Great

By Hoang V A

Aug 15, 2018

Great

By Charumathi R

Sep 19, 2024

good

By RITESH K

Sep 11, 2024

nice