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

4.5

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30,217 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....

3301 - Tools for Data Science 的 3325 个评论（共 4,955 个）

创建者 Deleted A

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Sep 4, 2018

Why not just write with a Jupyter notebook from your own web browser

创建者 Hazem A M S

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Sep 15, 2021

Sufficient moderate detailed information of IBM Watson Studio tools

创建者 Joshua

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Jul 26, 2020

Insightful thou though but all the effort and extra reading pay off

创建者 Rubén Q “ H D M

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Apr 15, 2020

Skills acquired from tools like, Jupyter notebooks, R, Scale, Spark

创建者 Prateek G

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Mar 18, 2020

Good course on introduction of various tools used for data science.

创建者 Matt A

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Feb 8, 2019

Pretty comprehensive. Good to get familiar with open-source tools.

创建者 Semilogo O

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Jul 18, 2023

Overall very informative and supported by lab task for application

创建者 Rajnish S

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Jun 23, 2022

Adetaileed course on tools belonging to the field of data science.

创建者 Selene E A H

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Mar 1, 2022

Me gustaria mas practicas en las que tuvieramos que explorar datos

创建者 Imron D

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Sep 1, 2020

I've learned a lot despite the poor quality of most of the videos.

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.

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

课程概述

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3301 - Tools for Data Science 的 3325 个评论（共 4,955 个）