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Voltar para Tools for Data Science

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

4.5
estrelas
24,141 classificações
3,841 avaliações

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

GC

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.

AJ

15 de set de 2020

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.

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551 — 575 de 3,851 Avaliações para o Tools for Data Science

por Lisandro O

9 de jan de 2019

Very nice and interesting course. I learned a lot about the tools required to work in Data Science

por Charles D M

22 de jun de 2021

G​reat overview of both open source and proprietary tools for data engineering and data analysis.

por Prasad T

27 de jan de 2021

though excellent teaching video need to be 1080p and some video needs to increase their volume .

por Umer H

7 de abr de 2020

The purpose of course is to introduce the tools for data science and it rightly serve the purpose

por Deepak S S

4 de abr de 2020

A very good step by step procedure and explanation, how to use Jupyter Notebook in Watson Studio.

por Rahul

20 de mai de 2019

Perfect course for the begenners .It introduces to different work spaces.Watson studio is awesome

por Mahmood H

19 de fev de 2019

This course is structured well, easy to understand instructions along with step by step guidance.

por Deleted A

6 de set de 2020

I wish to unenroll Fromm this course, eobi could apply for another due to very personal reasons.

por Iwan M J

28 de mar de 2020

Good article and video content and just the right amount of writing code to make it interesting!

por Ronan P d S

14 de jan de 2020

That was an amazing course. The tools that I've learned is very useful. Thanks Coursera and IBM.

por Sharyar V

1 de mai de 2019

Amazing learning material. Very detailed curriculum designed for students to learn with concepts

por Praveen K

23 de fev de 2019

Developed preliminary understanding of open source tools used in data science. Good for a start.

por Pothukuchi S

13 de abr de 2021

Great course to have hands-on when interested to learn different tools that handle data science

por José A E L

9 de abr de 2020

Curso bastante informativo para el uso de herramientas open source en proyectos de data science

por Amit L

21 de jan de 2020

Excellent course to get hands on experience on open source tools available for data scientists.

por Debashish S

8 de set de 2019

Thanks to coursera and IBM for letting me this opportunity to take a step forward data science.

por Evanivaldo C V

17 de jul de 2019

It is an excellent course for people with zero experience in this field, absolutely recommended

por chris z

20 de mar de 2019

Learned a lot about the different open-source data science environments and their capabilities.

por ADEDEJI J

30 de jun de 2022

this is a great course to start with, a very approachable way to the data science professional

por Shahul H

5 de set de 2021

I​T IS VERY HELPFUL FOR ME FOR THIS COURSE ERA OPTION

I​ AM ALWAYS RATING 5 STAR FOR COURS ERA

por chetan

18 de fev de 2020

I was knowing about R and Jupyter note book and i was not knowing about the zepplien notebook.

por Polycarp N

2 de abr de 2019

Very exciting to discover and know there that such amazing open source tools for data analysis

por Dwi A M

3 de set de 2021

This course give me a valuable insight about common tools data scientists used in daily task.

por Pablo J R

3 de set de 2020

I have to go back and redo a test the system said I miss a test that was not true, not cool

por Haowen Y

27 de jan de 2020

Wonderful experience for the people who wish to have hands-on experience of IBM Watson Studio