Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,837 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

Jun 14, 2024

Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!

Apr 18, 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.

Filter by:

2551 - 2575 of 4,889 Reviews for Tools for Data Science

By Abdel F (

•

Mar 3, 2020

Nice

By Pankaj S

•

Mar 3, 2020

good

By TIRUMALASETTY S G

•

Feb 22, 2020

GOOD

By BONDI J T

•

Feb 21, 2020

good

By Manikandan P

•

Dec 31, 2019

NIce

By rohit c

•

Nov 8, 2019

nice

By Zin N H

•

Oct 18, 2019

Good

By Mallikarjun I

•

Sep 4, 2019

Good

By Tejas A (

•

Aug 10, 2019

Nic!

By CAMARA I

•

Jul 21, 2019

cool

By Manea S I

•

Jul 17, 2019

nice

By Sharvan p

•

Jun 19, 2019

good

By hari p

•

Jun 2, 2019

cool

By CARLIN S I

•

May 29, 2019

good

By Abhishek S

•

May 21, 2019

Good

By Kelly K

•

Dec 29, 2018

Good

By SATYAM S C 1

•

Dec 8, 2018

Nice

By Gulnaz S

•

Apr 18, 2025

Зор

By Muhammad H K

•

Jul 14, 2023

---

By Thomas D

•

Jul 4, 2023

---

By Ahmed Y M I

•

May 21, 2023

TNX

By NADA A A

•

Jun 8, 2022

WOW

By 07-Võ T D 1

•

Mar 15, 2025

By Islom Q

•

Nov 4, 2024

By SORNAMBAL P

•

Aug 19, 2024