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

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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....

热门审阅

BF

Jun 13, 2024

Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!

MO

Apr 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

筛选依据：

4201 - Tools for Data Science 的 4225 个评论（共 4,952 个）

创建者 Caio B

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Sep 13, 2022

Muito conteúdo referente apenas à ferramentas da IBM.

创建者 Mohammad S

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Jan 11, 2020

it should include more practice videos and guidelines

创建者 Piyush S

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Dec 4, 2019

older version explain in the videos. Need to update.

创建者 Michael F

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Jan 11, 2019

The videos showed outdated versions of the software.

创建者 Salman

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Jan 16, 2025

so much theoretical part. It's a little bit boring.

创建者 Zadjad R

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Dec 3, 2019

Very little real knowledge to get from this course.

创建者 Prem K

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Aug 18, 2019

The second week contents were not pretty engaging.

创建者 Edmond L

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Aug 17, 2021

we don't need a separate course for most materials

创建者 Srinivas S R B

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Apr 15, 2020

Some Confusion in Vedio Tutorial part so ensure it

创建者 Harrison

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Jan 16, 2020

Directions are outdated with new IBM Watson Studio

创建者 Austin G

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Mar 22, 2020

It would be helpful to update the videos, please.

创建者 Samundra M S

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Mar 16, 2020

Only Very Basic Information on Open Source tools.

创建者 Norton Z

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Oct 10, 2019

Good course but a little out of date information.

创建者 Sri r k

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Sep 28, 2019

IBM cloud tool and DSX related setup is not clear

创建者 muhammed s e

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Dec 3, 2019

its too defrant between the course and the realy

创建者 Honorine C

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Feb 20, 2025

Not enough technical exercises, too much theory

创建者 Ami R E

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May 5, 2020

Videos in week 3 were very difficult to follow.

创建者 Paolo M

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Jun 25, 2020

Some courses explanations were not fully clear

创建者 Steven A

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Apr 29, 2020

Decent overview of open source tools available

创建者 Jyoti

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Apr 6, 2020

It should have involved more practise sessions

创建者 Jason K

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Oct 17, 2018

Out of date content, no help from course staff

创建者 Diego M B C

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May 7, 2020

Have to update the video of IBM WATSON STUDIO

创建者 WenQiang H

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Jan 25, 2020

A very quick glance about data science tools.

创建者 Otto C

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Jun 14, 2019

A lot of errors and confusion in the project.

创建者 Bhavya N

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Dec 27, 2019

It seems like an ad for IBM Watson. Not fun.