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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：

3326 - Tools for Data Science 的 3350 个评论（共 4,972 个）

创建者 E. R " A

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Sep 19, 2019

I love tools. I love Open Source tools for Data Science even more!

创建者 Peter A

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Nov 29, 2018

Good course but some of the IBM Cloud material needs to be updated

创建者 Jennifer E

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Oct 16, 2022

good course but some actualizations are needed in watson studio.

创建者 Dhruv G

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Jan 13, 2019

The course was great as it describes about the open source tools.

创建者 Won J H

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Dec 9, 2020

Great review for tools of data science!! Must take this lecture!

创建者 Federico M

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Apr 28, 2020

Some things for the last assignment were not explained very well

创建者 Anirudh N

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Apr 3, 2020

Good to know about certain tools which would be useful in future

创建者 Ann S

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Feb 11, 2020

week 3 was very confusing as the video was severely out of date.

创建者 Mohamed A

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Feb 2, 2020

Great course, would love more work examples to improve my skills

创建者 AbdAllah E

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May 6, 2019

I didn't appreciate the marketing tactics for the watson studio.

创建者 Heba M

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Dec 24, 2018

Thank you. Very helpful and motivating to explore various tools.

创建者 Irene H

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Jan 17, 2023

The instructions for the skills labs didn't always work for me.

创建者 Known S

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Nov 5, 2019

The course wholely covered IBM watson and other IBM cloud tools

创建者 Sean M

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Aug 13, 2019

I would like to see this course give more hands on assignments.

创建者 Teofilo E d A e S

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Apr 1, 2019

I finished the course with the understand of doing basic stuff.

创建者 Ahmed B

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Mar 5, 2019

We need more tutorials on all tools demonstrated in this course

创建者 ELAMPARITHI R

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Jan 10, 2019

The lab exercises should be more interactive and better planned

创建者 Dianne G

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Feb 2, 2024

The R lab environment needs some attention. But good overall.

创建者 otieno a

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Jun 11, 2023

The knowledge that this course gives the learner is invaluable

创建者 ripunjay t

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Apr 28, 2023

Course design was not logical, it assignments are very lengthy

创建者 Pranav N

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Feb 12, 2023

practical hands-on should be more than the theoretical videos.

创建者 Germán G

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Oct 16, 2021

i had problems using spss and ibm watson is hard to understand

创建者 JOSE R P

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Sep 4, 2020

Necessario atualizar o curso para nova versao do Watson Studio

创建者 Akash M

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May 23, 2020

Basic knowledge of tools were to given for different analysis.