Learner Reviews & Feedback for Tools for Data Science by IBM

4.5

stars

29,483 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 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.

Apr 12, 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.

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976 - 1000 of 4,827 Reviews for Tools for Data Science

By Exavier G

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Sep 25, 2019

This course really honed in on the foundation of data science with IBM.

By Arnab C

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Jul 17, 2019

Excellent way of getting introduced to such amazing data science tools.

By Rohitaksh G

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Jul 12, 2019

Nice exposure to open source tools available for studying Data Science.

By subiksha k

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May 29, 2019

One of the best course to look into different data science environment.

By Syed F U

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Apr 14, 2019

Awesome Course with awesome instructors. Thumbs Up to Coursera and IBM.

By Indunil M H

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Apr 8, 2019

The course was very well presented. It was a great learning experience.

By Shin-Ing C

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Jul 11, 2018

Super useful tools and tutorials that answered my questions for a year!

By Jehiah B

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May 30, 2024

Lots of good information, and the user experience is excellent so far.

By IGWEOJI R

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Sep 18, 2023

Tools for Data Science is very interesting, informative and educative.

By Muhammad I

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Mar 23, 2023

Great specialization from IBM looking forward for more courses of IBM.

By Kamran S

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Mar 21, 2023

Great course! Learned so much and enjoyed the process of learning too.

By Samuel F

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Mar 5, 2023

Really learnt a lot and i love the mentors teachings and materials etc

By María A G L

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Dec 2, 2022

Increible. Me costo un poco pero lo logre culminar. aprendi muchisimo.

By Amaya E

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Nov 25, 2022

Very educative no Prior Knowledge on this was needed....it was amazing

By Javier G R

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Oct 6, 2022

A good tavel over the most popular tools in data science and its use.

By Gustavo A M C

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Sep 1, 2022

Very good course, excellent content and the activities to complete it.

By Abhishek K

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Jul 29, 2022

I found this course very helpful. It is best course for data scientist

By Rajan S

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Jun 3, 2021

Great course to understand the tools that can be used for data science

By James T B

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Jun 29, 2020

This course was well structured and easy to follow. Very informative.

By John R

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Jun 7, 2020

Very detailed explanation about the tools that we use in Data Science.

By Gene M A

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Mar 12, 2020

Another curse closer to the IBM Data Science Professional certificate.

By Ansar S

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Mar 6, 2020

Course Introduced me to IBM cloud and notebooks in in which is amazing

By Nikhildas C

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Mar 2, 2020

Very good course and learned about open source tools for data science.

By Furqan K

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Feb 22, 2020

Good course on covering open source tools available for data sceintist

By James D

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Nov 14, 2019

This has truly been an awesome experience for me to continue learning.