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Voltar para Tools for Data Science

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

23,126 classificações
3,636 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

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!!!!

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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3351 — 3375 de 3,640 Avaliações para o Tools for Data Science

por ricardo

12 de Dez de 2020

Pouco pratico e entra em pouco detalhe de cada ferramenta. O mais proveitoso é o Git

por Marc A S

31 de Mar de 2019

We learned of the tools, but not much about them, how they work, that sort of thing.

por Akhilesh K

19 de Nov de 2018

There was a lot of problem in signing in for watson studio for doing the assignment.

por Vincent M

17 de Dez de 2021

Mostly a too general approach, just listing of different programs that can be used.

por Ricardo S

3 de Jan de 2021

Too much theory on the tools and little to none practical exercises/labs using them

por mvi

17 de Jun de 2019

IBM Watson Studio is unnecessarily complex to set up. Even signing up is a pain.

por Vikram R

2 de Dez de 2018

The content used is not the latest, had problems when submitting the assignment.

por Voranipit C

16 de Jun de 2021

To much of commercial IBM tools . only few useful tips but use too much time.

por Bongani M

25 de Jun de 2020

Was disappointed by unclear explanation on videos and ended up discontinuing.

por George J

26 de Mai de 2020

The course felt very unstructured and the instructions were not explanatory.

por Leonardo M

25 de Mai de 2021

It was not what i think it would be and the final test its so difficult

por Martine R

16 de Fev de 2019

Very poor documentation, not accurate. Issues to connect to Watson Lab.

por kartik S

25 de Abr de 2020

The material is quite outdated and it was difficult to follow through.

por Marco N v Z

6 de Set de 2018

since IBM updated system to watson, video's should be updated as well.

por Lukas P

25 de Nov de 2018

Outdated course material. Very disappointing for a fee-based course.

por Fabrizio E

28 de Dez de 2019

The IBM Watson interface has changed so you should update the video

por Stein O K

14 de Jan de 2021

Seemed a lot like a IBM Watson advertisement that i paid to view..

por Dylan S

7 de Dez de 2020

Content covered in quizzes is not covered in the videos and such.

por Jitin S

2 de Nov de 2020

Too much theory and no practical requirement of lab project scope

por Manoj

11 de Abr de 2020

Too many spelling mistakes and not enough depth of understanding.

por Erik P

23 de Mar de 2020

You need links and updated screens to got with IBM Watson Studio.

por Victor R D

17 de Mai de 2020

The coursework is interesting but the final week was a disaster.

por Naz a

30 de Mar de 2021

I did not enjoy this course, a bad start to the specialization!

por Roberto S

22 de Jun de 2021

It is a waste of time and money been repeating the final test.

por Gael T Y

31 de Mar de 2020

Instructions were very hard to follow. Course needs an update