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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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30,282 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

SS

Jul 19, 2020

Good content, excellent delivery. Week1 had too much of information at once. I was left with little motivation after week-1. All the other weeks were good. Exercises were engaging and very useful.

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：

4951 - Tools for Data Science 的 4969 个评论（共 4,969 个）

创建者 Nishan P

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Oct 20, 2020

Waste of time

创建者 khalil h

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Apr 22, 2020

waste of time

创建者 Davide R

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Apr 5, 2020

Quite Useless

创建者 Flynn F

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Jun 9, 2023

DUll and um

创建者 Jean-Yves R

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Oct 14, 2021

Really bad.

创建者 Mohamad A T

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Apr 8, 2019

Not updated

创建者 SATVIK V

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Jul 6, 2022

TOO HASTY.

创建者 Jonathan Q

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Jul 27, 2022

no update

创建者 Muhammed S U

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Dec 2, 2020

It sucks.

创建者 Naga s T

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Feb 13, 2023

Not good

创建者 Bethany L

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Nov 19, 2022

Terrible

创建者 Korawan E

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Jun 4, 2020

Very bad

创建者 Viswajith E S

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Nov 7, 2021

IBM AD

创建者 David P

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Jul 24, 2020

so bad!

创建者 lianghui t

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Jan 16, 2019

useless

创建者 Carlos P d V

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Nov 12, 2020

Pesimo

创建者 Pony F

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Sep 8, 2020

Boring

创建者 ABINAYA.S

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Jun 14, 2022

worst

创建者 Yu T

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Jun 18, 2021

dumb