Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,740 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

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.

Apr 13, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

Filter by:

1276 - 1300 of 4,875 Reviews for Tools for Data Science

By Praveen D

•

Jun 13, 2023

theory has been very elaborative and understandable ,

By Christine A

•

May 14, 2023

It's a hard course but a fulfilling one once finished

By Hassane D

•

Aug 24, 2022

Hard course with rich knowledge and hand-on practice!

By Ignacio G

•

Jun 17, 2021

Muy interesante. Una buena introducción a la materia.

By NEHA S

•

Nov 2, 2020

Learned IBM tools introduction and about Jupyter Labs

By Rivers L

•

May 18, 2020

Great introduction to various tools for Data Science!

By ROUNAK

•

Apr 4, 2020

It was nice to know and learn these open source tools

By Tanweer A

•

Mar 31, 2020

Gives overview of tools required and how to use them.

By Hiren P

•

Dec 11, 2019

Awesome course for beginner and intermediate learner.

By Ajay M

•

Nov 21, 2019

I can't believe i created my first Jupyter Note book

By Mingyang H

•

Oct 18, 2019

Good class to know the basic tools for data scientist

By Sheryl S

•

Sep 20, 2019

Excellent synopsis, very clear and easy to understand

By Aflus A

•

Jun 24, 2019

Nice brief overview of ibm opensource tools available

By dinesh p

•

Jun 21, 2019

We need some more practice course on Jypter notebook.

By NAVAKANTH B

•

Apr 14, 2019

content was well designed and very promising to learn

By Muhammed N

•

Mar 5, 2023

this course is good to understand data science tools

By Neelash M

•

Mar 1, 2023

Extremely good informative content and presentations

By Christopher W E

•

Oct 14, 2021

great presentation of tools needed for data science

By balkrushna n

•

Jul 10, 2021

this gives really good idea about Data science tools

By Adil A

•

Feb 28, 2021

Amazing explanation and awareness of different tools

By Monica V

•

Oct 20, 2020

Great intro course to various data science programs.

By RAVI J

•

Aug 28, 2020

it very interesting learn into tools of data science

By Aldy P

•

May 12, 2020

I learnt a lot from this course, Thank You Coursera!

By Samuel K R

•

May 9, 2020

Great Introduction to data Science Open Source tools

By Bhanu P

•

Apr 7, 2020

This is the best persuasive course I have ever taken