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

4.5
30,180 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

BF

Jun 13, 2024

Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!

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:

4576 - Tools for Data Science 的 4600 个评论(共 4,952 个)

创建者 Bongani M

Jun 25, 2020

Was disappointed by unclear explanation on videos and ended up discontinuing.

创建者 George J

May 26, 2020

The course felt very unstructured and the instructions were not explanatory.

创建者 Raghad A

Apr 14, 2023

The peer-to-peer assignments are so unnecessary and such a waste of time.

创建者 Leonardo M

May 25, 2021

It was not what i think it would be and the final test its so difficult

创建者 Martine R

Feb 16, 2019

Very poor documentation, not accurate. Issues to connect to Watson Lab.

创建者 kartik S

Apr 25, 2020

The material is quite outdated and it was difficult to follow through.

创建者 Marco N v Z

Sep 6, 2018

since IBM updated system to watson, video's should be updated as well.

创建者 Lukas P

Nov 25, 2018

Outdated course material. Very disappointing for a fee-based course.

创建者 Michael G

Feb 6, 2022

Can't even create an account in IBM Watson. Cannot complete course.

创建者 Fabrizio E

Dec 28, 2019

The IBM Watson interface has changed so you should update the video

创建者 Stein O K

Jan 13, 2021

Seemed a lot like a IBM Watson advertisement that i paid to view..

创建者 Dylan S

Dec 7, 2020

Content covered in quizzes is not covered in the videos and such.

创建者 Jitin S

Nov 2, 2020

Too much theory and no practical requirement of lab project scope

创建者 Manoj

Apr 11, 2020

Too many spelling mistakes and not enough depth of understanding.

创建者 Erik Y

Mar 23, 2020

You need links and updated screens to got with IBM Watson Studio.

创建者 Victor R D

May 17, 2020

The coursework is interesting but the final week was a disaster.

创建者 Youcef D

Feb 14, 2023

The course includes some tools that not used just lost of time.

创建者 Naz a

Mar 30, 2021

I did not enjoy this course, a bad start to the specialization!

创建者 Roberto S

Jun 22, 2021

It is a waste of time and money been repeating the final test.

创建者 William K M

Apr 23, 2022

Too IBM centric, final exam didn't calculate grade correctly.

创建者 Gael T Y

Mar 31, 2020

Instructions were very hard to follow. Course needs an update

创建者 Salvatore P

Oct 17, 2021

too much simplicistic, generic, and most of the time useless

创建者 Tom L

Dec 29, 2019

Many of the videos were hard to follow and at best outdated.

创建者 Fereidoun T

Sep 25, 2024

We should not need to use Watson to go through this course.

创建者 Adam M

Nov 29, 2019

The instructions need to be updated for the final project.