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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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30,228 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

MM

Aug 16, 2022

The course contents are verry good and well structured except that Watson Studio tools and services options need to be explaind more, specially those used in the lab steps or explained in the videos.

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：

1326 - Tools for Data Science 的 1350 个评论（共 4,957 个）

创建者 Ravi K J

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Dec 30, 2022

Very interesting and easy to learn great technology

创建者 Roman N

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Nov 13, 2022

Awesome. Some tools for data science were reviewed.

创建者 Lloyd T C

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Oct 13, 2022

Very informative, lessons are clear and enjoyable.

创建者 Asad

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Dec 18, 2021

It was really amazing and yes discovered new things

创建者 vijay k A

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Jul 3, 2021

the course is more useful and cover basic concepts

创建者 Sandra V

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Dec 10, 2020

Excelente contenido y mucho mejor los laboratorios.

创建者 ravindu k

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Jun 24, 2020

got lot of new knowledge thank you Coursera and IBM

创建者 Liliana Z

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Jun 16, 2020

Very clear explanations and good hands on exercises

创建者 Prateek K

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May 12, 2020

Nice overview of open source tools for data science

创建者 Wongsapat W

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Apr 5, 2020

Good course for introduction tools of data science.

创建者 olubuade i

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Jan 23, 2020

The Course is Great and well structured for beginer

创建者 Badal J

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Aug 6, 2019

interesting to get basics clear on jupyter notebook

创建者 Dennis L

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Aug 2, 2019

Need to update the demo video for IBM Watson Studio

创建者 Sérgio Á d A

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May 1, 2019

Essential for whom wants to work with data science.

创建者 Demetrius M

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Mar 10, 2019

I feel very prepped to work with Jupyter Notebooks!

创建者 Mario P

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Feb 13, 2019

It was great to discover Zeppelin and the IBM Cloud

创建者 Ryan H

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Nov 28, 2018

Learned a lot about the tools used in data science.

创建者 Soumya R B

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Oct 28, 2018

Super awesome cloud based data science tools guide.

创建者 Chayut L

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Oct 19, 2018

Great Introduction to tools needed in data science.

创建者 Enikeev A

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Sep 6, 2018

A lot of cool tools which i will use in my projects

创建者 Geetika P

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Dec 18, 2025

Great course, amazing content! Got to learn a lot.

创建者 Jacques T T

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Oct 18, 2024

A good overview of the tools used in Data Science.

创建者 MOHAMMED S A A

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Aug 12, 2022

الدورة جميله وذات محتوى عميق يزيد من اثراء المتعلم

创建者 Marcos d F

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Jul 4, 2022

Curso maravilhoso!

Ancioso pelo módulo tres da IBM.

创建者 Eduardo N d S S

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Jun 3, 2022

Muito bom a didática do curso. De fácil compreesão