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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

4.5
estrelas
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

ED

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.

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.

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3801 — 3825 de 4,172 Avaliações para o Tools for Data Science

por Daniel B

14 de mar de 2020

Unfortunately a lot of this course is dated with instructions that no longer work or dead links. Quite unfortunate.

por Ankit K J

16 de set de 2022

This course needs to apply more practical approach along with object oriented programming in order to be useful

por K L

19 de nov de 2021

There was a challenge with the Skills Network lab throughout the course. It caused a delay in my learning track.

por Alex L

28 de abr de 2019

Videos and text is redundant. Project is too easy. Course should be complete-able within one week, not three.

por Vincent B

26 de nov de 2019

Confusing sections because interfaces presented are different than the current tool.

Needs to to be updated!!!

por Anirudh S

3 de mar de 2020

course videos are outdated. hence its tedious to follow the assignments and software by watching the videos.

por Eduardo D M

21 de jan de 2020

Las plataformas de IBM dejan mucho que desear, tuve muchos problemas iniciando sesión en IBM watson studio.

por Laken J B

6 de abr de 2020

Need to update videos. Not the same as current webpage layout.

I love Jupyter Notebooks though!

Keep it up!

por Anthony F

2 de jan de 2023

You can learn all this stuff on your own by watching YouTube videos, and you don't have to pay Coursera.

por Deeksha S

25 de nov de 2019

The course is outdated. It was very different to work on it now compared to what is shown in the videos.

por Rimmon G

24 de jun de 2019

Please Update Watson video

very old links and information

the reward link for 6 month promo does not work

por Moatez B B C

21 de nov de 2019

this course is just an overview of 3 basic Data science tools: Jupyter-notebooks, Rstudio and Zeppelin

por nagaraja r

21 de mai de 2021

Assignments were with the queries which were not covered and i had go through the google to answers.

por Sagar G

26 de fev de 2019

Week 3 has a lot of problems in creating account with IBM Watson Studio and following the videos.

por Gustavo A N G

14 de set de 2020

Video resources are not good. Some comments for improve the course are related on week 2 forum.

por Michelle H

9 de jan de 2023

Not very clearly written. Instructions for tasks in outside programs are extremely confusing.

por Luai A

6 de out de 2022

Too many lessons about the used tools without explaining the data science basics behind them

por Paul E

24 de fev de 2022

Thr IBM resources referenced were not accessible. Too many errors on links for course tools.

por Heather L

24 de abr de 2022

Some things are outdated and hard to follow. Could have used more repitition for learning.

por Pranit M

11 de jan de 2022

Was not able to access Watson Studio. Had a lot of trouble completing the final assignment.

por William R

19 de set de 2020

Outdated lessons, basically an advertisement for IBM products that you have to pay to see.

por דני ג

21 de jan de 2020

This course is basically trying to promote IBM products without any notable skills learned

por Yuchen G

7 de jan de 2020

The course video material is outdated. IBM Cloud service is shitty with lots of problems.

por Ugur S O

19 de nov de 2020

I think some videos are not prepared as meticulously , they seems little bit amatuer.

por Serdar M

20 de out de 2018

materials are outdated. instructors are not helping and there is no way to contact them