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

4.5
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30,298 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

AA

Jul 26, 2023

The skill share network has a problem that it does not work at all there must be a tutorial course for using it before the actual course startbut aside from that ... the course is perfect for me

GC

Apr 12, 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.

筛选依据：

4201 - Tools for Data Science 的 4225 个评论（共 4,971 个）

创建者 Mayada E

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Oct 19, 2022

Too much information in one course. But I learned a lot!

创建者 Jannis J

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Dec 3, 2020

Not really necessary. Most of the information is skibable

创建者 Federico J

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Aug 24, 2022

a little slow but necessary to acquire initial knowledge

创建者 Jenish

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Oct 19, 2020

is this is a course? or advertisement of IBM services?!

创建者 SOFIA V V T

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Jun 4, 2024

La parte practica es muy básica. Es más que nada teoría

创建者 Lokesh D

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Nov 24, 2023

it don't clear a instructions at the end of the course

创建者 ekta s

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Oct 16, 2022

too many differences in the videos and the tool itself

创建者 Ivan S

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Sep 20, 2022

Just rewiew of existing tools. Almost zero explanation.

创建者 Or T

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Aug 19, 2022

Very high level course for 'IBM' Tools for Dara Science

创建者 John W

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May 6, 2021

great intro to data science tools and IBM Watson Studio

创建者 Ömer A A

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Nov 3, 2020

To much IBM rather than all types of tools in this area

创建者 Carola G

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Sep 11, 2020

I expected to be tough also about how to code in python

创建者 Pulkit B

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Apr 23, 2020

Need to update the videos with Watson Studio interface.

创建者 Nurmuhammad A

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May 6, 2020

Need more examples! But overall the course is not bad!

创建者 khaled C

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Apr 7, 2020

The program is very light and not updated to IBM tool.

创建者 Muhammad A H

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Feb 28, 2020

Very Basic. The assignment should be more challenging.

创建者 Minkyu L

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Feb 13, 2019

Informative but the practice exercises are very basic.

创建者 Jojo G

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Sep 19, 2022

Some of the laboratory instructions are not updated.

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.