学生对 IBM 提供的 Tools for Data Science 的评价和反馈

4.5

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30,180 个评分

课程概述

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....

4126 - Tools for Data Science 的 4150 个评论（共 4,952 个）

创建者 Noor A

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Nov 11, 2019

IBM Watson Studio sign up video should be updated accordingly with the updates

创建者 Adhith R P

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Apr 3, 2020

Unable to access Zepellin notebooks and could not do the practical excercises

创建者 Ameya M

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Jun 26, 2019

Wish the course was updated for Watson Studio instead of the previous version

创建者 Caner A

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Jan 10, 2020

the content is not updated. You can lose time while registering on IBM Cloud

创建者 Jeehyung H

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Jan 13, 2023

I can't sign into the IBM cloud. I don't know why... I can't take this test

创建者 Kersh T

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Jun 19, 2020

Focus was overly on IBM tools, in my opinion. There were also too few labs.

创建者 Basant A

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Dec 2, 2019

The course is not updated according the latest version of IBM Watson studio

创建者 Anup J M

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Sep 13, 2019

I believe some coding practice should also be added into the course content

创建者 Finn S

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Feb 17, 2019

Just OK. Good course instructors and good introduction to open source tools

创建者 Kourdassi m a

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Apr 28, 2021

it was nice course just it was too much concentrated on the ibm softwares

创建者 Karolis V

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Jan 20, 2021

Half of it is useful, other half is just an advertisement of IBM products

创建者 Maher M

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Jun 5, 2019

I would like to learn more about Jupyter Notebook. Thanks for your course

创建者 Mridul S

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Feb 24, 2023

This course was nice, but it was too theoretical rather being practical.

创建者 Paulius K

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May 10, 2020

Very not in depth and too fast run through these amazing tools. Too bad.

创建者 Chandima T

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Mar 22, 2020

Learnt a lot of tool s that are valuable.Some vedios need to be updated.

创建者 Manuel R

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Jun 14, 2019

Los vídeos están desactualizados. Y es difícil seguir las instrucciones.

创建者 Bhanu S

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Apr 5, 2019

Watson experience could have been better. seems video is a bit outdated.

创建者 Shihao W

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Oct 16, 2018

Waste a lot of time in doing final sharing Notebook....What's the point?

创建者 Kondwani “ G B

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Sep 7, 2021

Useful course, but towards the end felt like a huge marketing campaign

创建者 Ahmed A A

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Apr 21, 2020

DSX is not working as shown in video. The course was useful. Thank you

创建者 Edrick K

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Apr 10, 2020

Please update the video as its content is already outdated. Thank you.

创建者 Nolan S

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Apr 4, 2020

I had a very difficult time connecting to the labs networks throughout

创建者 Harsh

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May 6, 2019

Should have shown much details of cloud computing in IBM Watson Studio

创建者 William R

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Apr 22, 2020

I guess that more exercises would help who are looking for knowledge.

创建者 Camilo H

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Mar 12, 2021

Great information. Clear definition and labs are easy to understand.

学生对 IBM 提供的 Tools for Data Science 的评价和反馈

课程概述

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4126 - Tools for Data Science 的 4150 个评论（共 4,952 个）