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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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1026 - 1050 of 4,596 Reviews for Tools for Data Science

By Sovan S

Jan 15, 2022

The course is excellent to understand the basics of Data Science.

By Tan C K

Sep 8, 2021

Superb! I started to have an overview of Data Science. Thank you!

By OMPRAKASH V

Aug 22, 2020

This is good course for data science. I learned from this course.

By Fadhel H D

May 25, 2020

Give me a good knowledge about tools we can use for data science.

By BHARGAV A

May 12, 2020

Good course on introduction to open source tools for data science

By Hannan K

Apr 30, 2020

Good start to have an understanding of tools used in Data Science

By Jesús A J P

Nov 24, 2019

Te enseña lo básico de las herramientas open source de Notebooks.

By Uche C O

May 29, 2019

Great course for learning about the common tools for data science

By Laura C G B

Apr 21, 2019

Muy completa la guía para empezar a implementar las herramientas.

By Miguel A T J

Aug 13, 2023

This is a great course, shows the fundamentals for Data Science.

By Ishtiaq A

Jul 4, 2023

A great course, I have learned a lot in this course, Thanks IBM.

By Tales L

Feb 9, 2023

Excellent! I feel pretty much familiarized with the basic tools.

By Sunidhi K

Dec 7, 2022

that was very learnable application and practical implementation

By ABHISHEK G M

Mar 29, 2020

It was very nice course on introduction to the open source tools

By Adrian L

Jan 23, 2020

The course was excellent covering all the basics for a beginner.

By Arya K N

Jan 6, 2020

Good and very informative module. Well explained all the tools .

By Juan C

Nov 17, 2019

Videos should be updated to the new version of IBM Watson Studio

By Raymond M A

Oct 21, 2019

una buen experiencia para empezar a analizar al ciencia de datos

By Jason C

Oct 4, 2019

Awesome course for beginners who want to understand data science

By Tasbiul I N

Sep 15, 2019

It was very helpful for me to be able to know all these sources.

By Pedro F

Aug 11, 2019

Good introduction of the tools to start working on data science.

By John H

Jul 12, 2019

Good introduction of a few open source data analytics platforms.

By Pitchaiah U

Jun 4, 2019

Nice videos with hands on availability using Skills network labs

By Dr. S P

May 26, 2023

overall very grate experience with this course.

very informative

By Anthony D

May 7, 2023

Excellent course. I've learned a lot about through the journey.