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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,175 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

ED

Aug 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

MO

Apr 17, 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.

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3001 - 3025 of 4,596 Reviews for Tools for Data Science

By Fidel B C B

Jun 4, 2019

Cuesta trabajo el ejercicio porque no esta cual como indica el ejercicio

By Deleted A

Apr 9, 2019

IBM Watson related content needs to be updated and be more comprehensive

By Eliza S

Jan 24, 2024

A good chapter to understand all useful DS tools. Which are new for me.

By SHUO T

Oct 3, 2020

Week 2's quality should be improved, make it more friendly for beginner

By Juan P E C

Jun 17, 2020

Good course, explanation about Git Hub could have been more detailed...

By Shuyuan C

Jun 17, 2019

Very interesting course and you can learn a lot about Jupyter Notebook.

By Ahmad S

Mar 6, 2020

Please update the video content to suit the updated IBM Watson Studio.

By Alexander T

Jun 30, 2019

Gives the idea of where to go and how to start using some tools for DS

By Vasu S

Jun 4, 2021

It's a good course but we need more detailed videos on Watson Studio.

By Christopher D

May 13, 2021

It was a lot of information but a good primer for the specialization.

By Karim A

Jan 6, 2020

Please update the vides to reflect the same environment as IBM Watson

By Filipe S M G

Aug 18, 2019

Interesting to know the available tools (although, a bit repetitive).

By Samantha R

Jul 8, 2019

Nice starting point to learn how to use a notebook in a simple manner

By Joe A

Jun 30, 2019

Good introduction to various tools available to data science novices.

By David P

Jun 13, 2019

An exciting start to the actual work of data science using IBM tools.

By Humayun A

Apr 20, 2019

need to explain what we will learn from this week materials and quiz.

By Navaneetha K R

Apr 4, 2019

Course gives a overall view of how to use various data science tools.

By asher b

Sep 14, 2018

Succinct high-level overview. Still need more courses to get skilled.

By Leo S

Oct 15, 2022

its so good to learn ,but its also little bit harder to understand.

By Juan D P M

Feb 11, 2022

i would liked more practic labs on the course, but overall is good.

By Kwaku B

Jul 18, 2020

It needs more real-world or direct workplace data sources to work on

By Robert W

Mar 4, 2020

Excellent course. It was perfectly paced, the videos were excellent,

By Georgios G

Oct 25, 2019

The IBM videos for using the IBM experience module should be updated

By Jeffrey K

Sep 4, 2018

Why not just write with a Jupyter notebook from your own web browser

By Hazem A M S

Sep 15, 2021

Sufficient moderate detailed information of IBM Watson Studio tools