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Voltar para Tools for Data Science

Comentários e feedback de alunos de Tools for Data Science da instituição IBM Skills Network

24,416 classificações

Sobre o curso

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. 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. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Melhores avaliações


12 de abr de 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.


24 de abr de 2019

To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!

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701 — 725 de 3,921 Avaliações para o Tools for Data Science

por Pranav V

18 de mai de 2019

please provide more videos on how to work in IBM watson studio.i had a hard time

por Ankush L

12 de jan de 2019

This course was useful in teaching all the basic tools required for data science

por Cristian R

24 de mai de 2021

It provides an overall view of the many tools you can work with in data science


19 de mai de 2021

great beginners introduction to learn what is data science and a Data Scientist

por Austėja B

1 de mar de 2020

Interesting and informative. There are good sources listed for deeper learning.

por Jayesh M

19 de jan de 2020

This was a great introduction to the open-source tools available in the market.

por Laxmi Y

30 de nov de 2019

This is a basic course for a beginner level learner to get hang of Data Science

por Austin H

26 de out de 2019

Brief introduction for where to find and how to use the open source data tools.

por Chinmaya R

4 de set de 2019

Course so far so good. The course navigation on Coursera is not up to the mark.

por Eleni A

5 de ago de 2019

Very good for beginners. Overview of the open source tools to get familiarized.

por Greice M N

27 de fev de 2019

Os vídeos precisam ser atualizados para acompanhar a nova versão da plataforma.

por Manoj K P

6 de fev de 2019

Easy and fast way to learn the introduction of the cloud tools for data science

por utkarsh v

1 de jul de 2021

the mentors are very superb. the course is excellent. i learn so much things..

por Laura M A D

16 de mai de 2021

It is very complete. It covers all the tools that you can use in data science.

por Alejandro J M R

1 de fev de 2021

Dinámico, entretenido y con gran contenido pedagógico. Recomendado totalmente.

por Anugrah N

28 de jul de 2020

Interesting tools have I ever seen in the first I become join to Data Science.

por Omar S

24 de abr de 2020

Bastante autodidacta, muy buenas explicaciones, quiza muy falto de aprendizaje

por Moyo J

21 de fev de 2020

I learnt something new order than Jupyter Notebooks, learnt Zeppelin Notebooks

por Dukel666

7 de out de 2019

Great online Data Science course, open my view about the data scientist world.

por Rajasekaran G

29 de abr de 2019

Kindly update the videos in the course to match the changes in IBM watson site

por Juan A

11 de mar de 2019

Excelent Course. Very practical, a different course . Very Fast and intuitive.

por Brandon T G

4 de mai de 2022

Muy bueno para conocer las herramientas que se usan para la Ciencia de Datos.

por Aysha R S

8 de nov de 2021

This course gives a basic understanding about the tools used in data science.

por Marcelo V

8 de ago de 2021

Me gustó, es una lluvia de herramientas sobre la ciencia de datos. Muy bueno.

por 050 A R

17 de jul de 2021

Lot of Information about the tools required in the field of the Data Science.