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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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30,250 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：

4876 - Tools for Data Science 的 4900 个评论（共 4,962 个）

创建者 Ahmed E

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Jul 12, 2020

Very unorganized course , it can be represented in much better way

创建者 mark g

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Sep 7, 2018

Difficult to follow as the Jupyter Notebooks have been deprecated.

创建者 Rafael P S

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Oct 28, 2021

Poor content. It's really just an advertisement for IBM products.

创建者 Enrico C

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Apr 12, 2020

impossible to conclude because of the videos that are not updated

创建者 Akshay P

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Jan 31, 2024

The peer review took all the fun and hardwork out of this course

创建者 John T

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Nov 23, 2023

submitting projects to be graded by students should be optional.

创建者 Arvin E

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Apr 4, 2020

Videos are not updated that's why many learners are complaining.

创建者 Hsin L

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Dec 28, 2024

wasting too much time to learn this instead of real programming

创建者 micheal a

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Feb 24, 2019

the cognitive labs isn't working the website setup has changed

创建者 Johannes

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Mar 28, 2021

Too many tools without PRACTICE are not useful for learning!

创建者 Bryce M

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Oct 24, 2020

the IBM website is not working and I can't finish the course

创建者 Md. R T S

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Feb 15, 2020

Outdated Tutorials. Very Difficult to figure everything out.

创建者 meron d

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Feb 26, 2019

outdated course in comparison with the IBM data experience.

创建者 MAGD A S W

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Feb 3, 2019

Where is the instructors ??!!

A lot of technical problems.

创建者 Jess H

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Nov 29, 2021

Horrible, corporate waffle on IBM's unpleasant platforms

创建者 Ramón B

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Nov 16, 2021

A compendium of terminologies and comercial information

创建者 Liran A

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May 19, 2020

ibm cloud content is outdated to almast irrelevance

创建者 Kristin H

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Nov 11, 2021

Really horrible course. Useless and badly designed

创建者 Shun-Chieh M

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Feb 3, 2020

Update the videos before releasing this as a class

创建者 Antonio V G

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Aug 25, 2025

no puedo avanzar hasta que me califiquen la tarea

创建者 Ivan K

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Aug 25, 2020

Felt like an ad for IBM's data science platform.

创建者 Dimple

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Mar 9, 2020

The links to practice are down since last week.

创建者 Alaina D

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Mar 27, 2025

The use cases were difficult to connect with.

创建者 Guillermo T

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Mar 7, 2020

Waste of time without programming experience,

创建者 Ismael S

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May 25, 2019

Looks like IBM is just selling their products