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

25,723 classificações

Sobre o curso

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....

Melhores avaliações


14 de ago de 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.


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.

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3851 — 3875 de 4,172 Avaliações para o Tools for Data Science

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 William K M

23 de abr de 2022

Too IBM centric, final exam didn't calculate grade correctly.

por Gael T Y

31 de mar de 2020

Instructions were very hard to follow. Course needs an update

por Salvatore P

17 de out de 2021

too much simplicistic, generic, and most of the time useless

por Tom H A L

29 de dez de 2019

Many of the videos were hard to follow and at best outdated.

por Adam M

29 de nov de 2019

The instructions need to be updated for the final project.

por Hardik P

18 de abr de 2019

Lot's of discrepancies between videos and actual interface

por Phenilkumar B

3 de abr de 2019

They are basically promoting their products in this course

por Esteban C

16 de nov de 2022

Very IBM oriented and too much information for a beginner

por Abraham Z

31 de dez de 2019

The course needs to be updated to match IBM Watson Studio

por I-Ju C

21 de nov de 2019

IBM Watson Studio material needs to be update for sure...

por TW Y

4 de jul de 2020

A bit overwhelming with too many tools were introduced.

por Monica S

9 de out de 2019

Very out of date. The instructions need to be updated.

por Rahul A

26 de mar de 2022

Shameless promotion of IBM cloud, learned very little

por Amp D

3 de set de 2020

need lot of improvement in explaining IBM SPSS tools.

por Carlos

9 de mar de 2020

the IBM tool is not very clear because it has changed

por Ashwin D

26 de abr de 2020

Expected more from an IBM professional certificate.

por Tobias M

30 de nov de 2019

This course felt like one long commercial from IBM.

por trung n

30 de ago de 2020

Too general...only take if you have zero knowledge

por YI Y

20 de mai de 2022

Video display quality is poor and not up to date.

por Domenico G

11 de jan de 2021

The course is too much focused into IBM products