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Voltar para Tools for Data Science

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

21,320 classificações
3,292 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

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.

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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2951 — 2975 de 3,262 Avaliações para o Tools for Data Science

por Amir H

2 de Mai de 2019

the course is not up to date with the latest interfaces of the open tools sites, causing a lot of confusion and need to wait for an instructor/mentor to reply in the forum section.

por Fábio S V

2 de Mai de 2019

The courses "What is Data Science" and "Open Source tools for Data Science" could be merged in one, there would be a better explanation about the tools available from IBM....

por Sarah W

26 de Out de 2020

Too much straight forward fact, on fact with list on list (hard to stay awake and focused on this because there wasn't anything to break up the facts or the list of tools).

por Amandine B

25 de Ago de 2020

Some useful explanation of how to use Jupyther/Github/R but also lots of time wasted on presenting, over and over, IBM's tools and some very poor quality videos for Github.

por Edward J

11 de Ago de 2020

Week 2 was very poorly explained. I did enjoy looking at the IBM tools but there was far too much in such a short space of time - too much video made it less pleasurable.

por Daniel T F

15 de Mai de 2019

The whole content of the course is very basic and online scratching on the surface. It could easily be integrated in another course and though could be more constructiv.

por Kevin N

17 de Mar de 2020

I give this course a 2. It was so difficult to sign into IBM Cloud. I got repeated error messages. The tool seems to have a lot of bugs and makes learning frustrating.

por Sujith K S

16 de Set de 2020

Rushed through course explaining too many things without proper background knowledge. One section was advertisement for IBM tools which most of us probably won't use.

por Truong G

21 de Jan de 2020

To me, this is just a presentation of online tools on cloud data storage. There should be more practical exercises from easy to hard to get used to with these tools.

por Juan J L M

18 de Mar de 2020

The course is not updated with all the tools and people spend a lot of time trying to see how the tools work.

Think more application exercise should be available

por Luis P R

3 de Abr de 2020

A few problems with IBM Developer Skills Network, specifically the Manage Data Tool and the Zeppelin Tool. Nevertheless, it was a good and interesting course

por Elizabeth C V

25 de Ago de 2020

The course explanations and classes were poorly structured and took 10 times more time for me to understand the concepts. I give a low rate for this course

por Umair A

19 de Dez de 2018

A lot of time, very little learnt. Two courses and only thing learnt was definition of Data Science and creating accounts. I hope this is going some where.

por Montoisy F

28 de Jul de 2020

Too much IBM-centric, lots of problems encountered with IBM studio/cloud installation.

Good point: Professors are very responsive to problems of students.

por Javier F S

14 de Out de 2020

Too much information about the different tools that can be used in Data Science. Very broad and at the end, I just learned a bit about Jupyter Notebooks

por Omar K

11 de Jan de 2020

IBM Cloud is truly a mess, full of bugs and nothing works as expected which made it much more difficult to complete the course than it should have been.

por Yulia L J

4 de Jul de 2020

Videos are super low quality. I understand that this is an IBM course, but don't really want to learn in details their Watson Studio, that nobody uses.

por Boya D

13 de Jun de 2019

Course about Watson Studio is outdated. Students wasted time on project because of this. Since students are paying for the course, it is unacceptable.

por Daniel B

15 de Mar de 2021

It seems to be one big ad for IBM products, and I did not find anything very useful. It seems a bit like losing time than learning anything useful.

por Leanne O

22 de Jun de 2020

This course is not structured well and not great for beginners. You are introduced to a lot of tools without much context or actual instruction.

por Yinlu D

14 de Dez de 2019

Have wasted quite some time in searching back and forth for the updated features on Jupyter Notebook due to part of the outdated course content.

por Erin M

25 de Mai de 2019

The course materials need updating. The IBM platform has changed which has made it hard to maneuver the website and follow the directions given.

por Inon Z

21 de Jan de 2019

low level content. a combination of a few available IBM tutorial. The didn't even bother to change the names of the old platform to the new one.

por Aliakbar S

28 de Mar de 2019

Very boring course... It was not that deep! It only takes a few hours to complete it! To be honest, I felt like it was a Kindergarten course!!!

por Lakshya

23 de Mai de 2020

This course was just the marketing of IBM tools. I gained nothing expect the link which was in a discussion where I learned some basic python.