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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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30,304 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

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.

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

筛选依据：

3351 - Tools for Data Science 的 3375 个评论（共 4,972 个）

创建者 Brett R

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May 26, 2019

Was glad to exposure to some of the different tools out there!

创建者 Deleted A

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May 15, 2019

Good intro though a bit rushed. More hands on would be better.

创建者 Edgar L

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Feb 11, 2019

Videos don´t match with the last version of IBM Watson Studio.

创建者 Nnanke W

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Jul 25, 2022

great course but heavy on IBM software that is not necessary.

创建者 Ekkarit G

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Apr 1, 2022

The screen practiced looks different from the study material.

创建者 Said E

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Jun 10, 2021

Good introduction, but some of the information is very basic.

创建者 Apurv T

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Jun 20, 2020

Overall is good but Data cleansing section is bit Fast though

创建者 Ruizhu J

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Nov 13, 2019

very useful online and free open tools to help data analysis.

创建者 MARIA F B

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Aug 27, 2019

Great course, I feel I'm starting to get fun learning code :)

创建者 Natchapol T

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Jun 12, 2019

Cool course, give insight on the possible tools for newcomer.

创建者 Juan P

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May 18, 2019

This course explores the IBM data science lab in a brief way.

创建者 Mohsin S

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May 10, 2019

Slightly mismatch between tutorial and IBM Watson Studio IDE

创建者 Mahadev M

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Jul 26, 2025

Good course for learning about useful tools for data science

创建者 Jana A

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Mar 22, 2022

Very good course. I gain a basic understanding of the tools.

创建者 Michael C

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Oct 9, 2020

Generally good. Some spots that could use more explanation.

创建者 alan f

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Mar 25, 2019

It was an interesting introduction to some new tools for me.

创建者 E V N

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Sep 25, 2024

some of the guides seemed out of date with tools being used

创建者 Kenson M

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May 24, 2022

The best course i have found on the tools for Data Science.

创建者 Azaliia H

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Oct 11, 2020

Thanks for the Course! It was pretty hard, but interesting.

创建者 Wesen T

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Jan 30, 2020

This is a great course to learn critical Data science tool.

创建者 Philip K

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Aug 26, 2019

Great introduction to open source options for Data Science.

创建者 Roshan P

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Apr 15, 2019

Good that It introduces various tools with the differences.

创建者 Barisia E N

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Dec 29, 2024

Packed with lots of information and handson practical labs

创建者 Ed S

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Apr 27, 2022

Seems to be heavily skewed towards IBM tools and questions

创建者 Bruna T K

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Mar 1, 2021

Very well explained and support is great. Would recommend.